Page 13 – DataToBiz

Kavika Roy
February 07, 2024
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How Managed Analytics Services Enhance Customer Experience?

Have you ever wondered how businesses magically seem to know what you want, sometimes even before you do? Well, it’s not magic; it’s the power of data analytics. Do you want to know how Managed Analytics Services help you redefine the customer experiences? From interpreting large amounts of data to understanding customer needs, this blog focuses on how businesses seemingly anticipate your needs and deliver personalized meaningful experiences. In this blog, I’m going to take you on a journey to explore how managed analytics services can transform the way businesses serve you, and ultimately, how you experience their products or services. So, grab a coffee, get comfy, and let’s dive in! What Are Managed Analytics Services, Anyway? Let’s start with the basics. Managed analytics services are like having a team of data masters at your disposal but for businesses. They help companies collect, analyze, and make sense of the massive amounts of data they gather from various sources. Think of it as a behind-the-scenes superpower that organizations use to enhance their operations, and it indirectly affects you — the customer. The Heart of Customer-Centric Business In a customer-centric business, it’s not just about selling products or services; it’s about delivering a memorable and delightful experience that keeps customers coming back for more. Managed analytics solutions play a pivotal role in achieving this goal. Personalization Imagine strolling into your favorite online store, and boom! Right on the homepage, you’re greeted with a list of products that feel like they were handpicked just for you. This isn’t luck; it’s the result of analytics services at work. They use your past behavior, preferences, and even demographic data to create a personalized shopping experience. When you find what you want quickly, you’re a happy customer, right? Think about e-commerce giants like Amazon. They’re masters at suggesting products you’re likely to buy based on your past purchases and browsing history. But how do they do it? Managed analytics services are the engine behind these personalized recommendations. They analyze your data to understand your interests and behaviors, creating a tailor-made shopping experience just for you. This level of personalization goes beyond just e-commerce. Music services like Spotify and even news websites use similar techniques to keep you engaged. It’s like having your shopper, DJ, or news editor. Predicting Your Needs Before You Do Ever had Netflix recommend a show you end up binge-watching all weekend? Managed analytics services help businesses predict their future needs. Hear me out on this one! They analyze your past behavior to suggest products, services, or content that you’re likely to be interested in. It’s all about saving you time and effort by offering solutions before you even realize you need them. Predictive Analytics Let’s take the example of a food delivery app. It can use your previous orders, the time of day, and even the weather to predict what you might want to eat. So, when you open the app, your favorite cuisine is right there, ready to be ordered. It’s like they’ve read your mind, right? But it’s not just about food. Airlines use predictive analytics to anticipate delays and manage flights more efficiently. Banks use it to prevent fraudulent transactions. It’s everywhere, making our lives smoother and more convenient. Smooth Customer Support, Thanks to Analytics Imagine having an issue with a product or service and reaching out to customer support. With managed analytics services in play, the support team can access a wealth of information about your history with the company. They know what products you’ve bought, and issues you’ve faced before, and can provide tailored solutions. No more explaining your situation repeatedly; they already know you! Multi-channel Support Whether you contact customer support through chat, email, or a phone call, businesses aim to offer a seamless experience. With the help of analytics, they can track your interactions across different channels. If you start a conversation on chat and switch to a phone call, they pick up right where you left off. It’s like talking to a friend who remembers everything you’ve discussed. Moreover, analytics can identify trends in customer support queries. If multiple customers face the same issue, businesses can address it proactively, preventing further inconvenience. This means that issues get resolved faster, and you don’t have to deal with recurring problems. Streamlined User Experience When you visit a website or use an app, you want it to be smooth sailing, right? Managed analytics services play a crucial role in optimizing user experiences. They track how users interact with a website or app, identify pain points, and suggest improvements. The result? You enjoy a seamless, error-free experience. The User Journey Map Creating a user-friendly website or app is no longer guesswork. Managed analytics services help businesses understand the user journey. They analyze where users drop off or get stuck, and this insight guides improvements. For instance, e-commerce websites use analytics to enhance the checkout process. If they notice that customers abandon their carts at the payment stage, they can investigate why. Maybe it’s a complicated form or a lack of payment options. Analytics provides the data needed to identify these issues and make the necessary changes. But user experience doesn’t stop at websites and apps. Think about self-checkout kiosks at grocery stores or touch-screen menus at restaurants. Analytics ensures that these interfaces are user-friendly and efficient. Improved Product Development Businesses want to create products or services that you’ll love. Managed analytics services help in this process too. By analyzing customer feedback, usage patterns, and market trends, they can guide businesses in refining existing products or creating new ones. This means more of what you like and less of what you don’t. The Voice of the Customer Customer feedback is a goldmine for businesses. It tells them what’s working and what’s not. Managed analytics services can aggregate and analyze this feedback to extract valuable insights. For example, car manufacturers use customer feedback to design safer and more comfortable vehicles. Tech companies use it to refine software features. Even restaurants use it to tweak their

Yashica Chopra
February 06, 2024
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5 Top Managed Analytics Companies for Manufacturing Startups in USA

The manufacturing industry doesn’t have to buckle under the pressure of increasing costs and demands. Data analytics empowers enterprises to make the right decisions. Here, we’ll discuss manufacturing analytics solutions providers for startups in the industry. With manufacturing enterprises moving from traditional production methods to smart factories and digitalization, managed analytics has gained prominence among established and new businesses. Gartner Digital Markets surveyed with over 3400 participants to arrive at some interesting insights. The survey report shows that 54% of manufacturers plan to spend 10% or more on software compared to 2023. Most responders said business intelligence and analytical solutions were a top priority. However, 47% agreed that identifying the right software is the biggest challenge as it directly impacts their ROI and success. The best way to overcome the challenge is to partner with a managed analytics service provider. Manufacturing startups need much more than access to technology to compete with global enterprises. You should also have the required skills and talent pool to effectively use the technology and align the processes with business goals. From data management to decision-making, the data-driven model is a collection of various tools, technologies, talents, and domain expertise. Here, we’ll understand how analytics are helpful and why manufacturing analytics services are a must for startups in the industry in the US and around the world. How Can Data Analytics be Used in Manufacturing? Data analytics is where large amounts of data are collected from multiple sources, cleaned, formatted, and stored in a central database to derive meaningful, accurate, and real-time insights. The insights are used by employees and top management to make important business decisions. Data analytics for manufacturing firms has gained prominence, with technology disrupting the industry. The data analytics provided from this sector are called manufacturing analytics and can be used to streamline a variety of factory, production, supply chain, logistics, marketing, and customer-related activities in the enterprise. According to the Business Research Company, the market size of manufacturing analytics has grown from $11.75 billion in 2023 to $14.26 billion in 2024 at a CAGR (compound annual growth rate) of 21.4%. It is expected to reach $32.39 billion by 2028 at a CAGR of 22.8%. Data analytics can be used in manufacturing in the following ways: Third-party consulting companies offer end-to-end manufacturing KPIs managed services to help enterprises identify, track, and assess their key performance indicators to determine if the business is going as per the plan. It helps survive market competition, increase return on investment, and generate more profits. 5 Top Managed Analytics Companies for Manufacturing Startups DataToBiz DataToBiz is among the top manufacturing data analytics companies in the US, with startups and established enterprises as clients. It empowers manufacturers to streamline their operational processes by unlocking the full potential of data and analytics. The company offers end-to-end services to derive actionable insights in real time using various tools and technologies like AI, ML, NLP, generative AI, LLMs, etc. It also provides customized manufacturing BI solutions by building dashboards for different parameters. The teams work with business intelligence tools like Power BI, Tableau, etc. DataToBiz is an award-winning company with a presence in different continents, including North America. The data governance solutions offered by digital transformation companies ensure manufacturers set up the necessary security systems to collect, manage, store, and use large amounts of data. The company is a certified partner of AWS, Microsoft, and Google and is trusted by many manufacturers. It provides assistance at every stage, from identifying KPIs and competitors to determining the best marketing strategy to promote the products. The company also helps with AI-based automation, IoT (Internet of Things) device implementation, robotics, OEE, supplier analytics, quality control, resource optimization, customer behavior analytics, and so on. Seeq Seeq is a global firm offering advanced analytics for manufacturing companies, petrochemicals, oil & gas industry, life sciences, pharma sector, etc., from different countries. With a headquarters in Seattle, empowers manufacturers to get better business outcomes by generating faster insights. The company has developed solutions like Seeq Workbench, Organizer, Data Lab, etc., to help enterprises convert raw data into actionable insights. The AI and ML platforms can be deployed quickly and customized to suit the client’s needs. Seeq focuses on maximizing production runs and helping businesses achieve their sustainability goals. The company assists manufacturers in streamlining operations to improve throughput, reduce production costs, and increase quality. It also empowers the workforce to use the analytics for day-to-day decision-making. The company has announced its partnership with Databricks to promote IT-OT convergence in enterprises. Furthermore, Seeq’s platforms can be integrated with AWS and Microsoft Azure. Cognex Cognex is a global service provider of software, sensors, vision analytics, and industrial barcode readers in the manufacturing sector. The company works with enterprises from various subsectors of the industry like automotive, semiconductors, electronics, machine building, vision-guided robotics, solar, etc. It assists clients in improving product quality by identifying and eliminating errors, reducing costs, monitoring production lines, etc. The company believes in intelligent automation for smart production. It helps enterprises build manufacturing data systems and integrate the latest technologies with their processes. Cognex offers a plethora of products, such as 3D vision systems, barcode readers, edge intelligence, OEM products, etc. It highlights the importance of artificial intelligence in promoting innovation and automation. Technologies like edge computing and deep learning help enterprises make data-driven decisions. The company also provides training through its classroom facilities in the US, Asia, and Europe. The training programs by Cognex are conducted online and offline and cover a wide range of courses (basic to advanced) for the manufacturing workforce. Tulip Tulip is an IoT (Internet of Things) software provider that helps manufacturers democratize technology to streamline business operations and overcome challenges. It transforms the production floor by setting up digital connections to create seamless workflows throughout the enterprise. The applications offered by the company are cloud-based and ready to be implemented in enterprises. Derive predictive analytics in manufacturing, build robust and customized solutions for specific concerns, and boost productivity. Tulip’s platform has generated 448% ROI, according to the Forrester Consulting Total Economic Impact™ study commissioned by the company. The

Kavika Roy
February 01, 2024
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Why Leading US Tourism Brands Are Investing in Data Warehousing (And You Should Too)

Data warehouses store large amounts of structured and unstructured data from different sources such as travel agencies, customers, and vendors. Let’s explore how travel analytics services help to deliver optimal customer experience, enhance operational efficiency, and grow the travel business. Data analytics enable travel businesses to explore huge datasets spanning customer preferences, feedback, and bookings to optimize their operations and services. Data warehouses play an important role in supporting data analytics by giving a unified view of data facilitating easy and reliable analysis. According to GlobeNewswire, the DWaaS (Data Warehouse as a Service) market is projected to reach USD 7.69 billion, at a compound annual growth rate of 24.5% by the year 2028. In this blog, we will find out why investing in data warehousing is important for tourism brands to stay ahead in the game. Types of Data in the Tourism Industry Benefits of Managed Analytics for the Travel Industry Now let’s discuss the benefits of managed analytics in the travel and tourism industry: Better Customer Experience: With advanced data analytics, travel companies get relevant information about customers regarding their preferences, buying patterns, and behaviors. The companies analyze this information to predict insights and personalize their service offerings to deliver exceptional experiences. Enhances Operational Efficiency: Using data analytics, travel companies run smoothly by recognizing patterns and ways to improve them. For example, airline operations analytics enable airlines to pick the best routes to save fuel. Competitive Pricing: The pricing in the tourism industry often fluctuates depending on peak and off-peak seasons, demand, special events, and competitor pricing. Travel companies can analyze these factors to optimize their prices and remain profitable at the same time. High ROI: Analysts use data analytics (obtained by tracking metrics such as conversion rates, and click-through rates) to assess how well the marketing campaigns are performing, comprehending which channels and strategies yield the highest value. Data-related Challenges in the Tourism Industry Some of the common challenges faced by travel agencies are: Privacy and Security: The tourism regulatory frameworks in the US such as the US Travel and Tourism Advisory Board (TTAB) enforce that all travel companies must comply with the standards of collection, storage, and usage of customer data. Any breaches or infringements are liable to penalties. Processing and Interpretation in Real-time: Elements such as cost, customer preferences, and availability keep changing frequently. Gathering and processing this data becomes difficult. Even if travel companies manage to collect and analyze data, interpreting it to obtain meaningful results needs the expertise of analysts and data scientists, resulting in a skill gap. Data Quality: There are possibilities of duplication and errors in the recorded data which may lead to wrong insights and decision-making. Since travel analytics solutions get data inputs from disparate sources (CRMs, booking platforms, and social media channels), integrating these huge data sets is a tough task. Ethical Handling of Data: Apart from abiding by regulatory compliance, travel analytics solutions must implement ethical considerations to handle data by preserving customer privacy. How can Data Warehouses help overcome the above Challenges? Data warehouses play an important role in overcoming the challenges by offering a centralized and organized repository to store, arrange, and analyze huge data volumes. Since travel companies collect data from diverse sources, data warehouses make it easy to consolidate information. It allows users to access data stored in a single repository from anywhere, saving time and facilitating quick decision-making for predictions. Data warehouses ensure uniformity and reliability of information across all levels, allowing seamless processing. They aid in integrating data from multiple sources, hence minimizing the time needed for comprehensive reporting and analysis. Important Factors to Consider when Choosing a Data Warehouse for your Travel Business Choosing the data warehouse for your business requires these considerations beforehand: Data types: Determine the kind of data that you want to store in your data warehouse. Performance: Find out the query processing speed for easy data retrieval. Size: Asses the size of the datasets you need to store in the data warehouse. Maintenance: Evaluate the efforts to oversee and control data warehousing processes. Cost: Estimate the budget that you can spend on data warehouse deployment. Community: Find out which tools and resources are required for integration after the data warehouse has been deployed. How Does the Travel Industry Use Data Analytics? Data analytics allows travel businesses to conclude meaningful insights and make concrete decisions by assessing market trends, customer feedback, and real-time data. Let’s explore how: Forecasting Travel Demand: Travel companies can predict the demand for travel services by analyzing existing trends and analyzing historical data. For example, an increase in flight reservations indicates growing interest, allowing the companies to advertise related services and launch targeted marketing campaigns. Customizing Customer Experiences: In response to the ever-evolving customer needs, the travel industry is moving towards delivering personalized experiences, supported by data analytics. By analyzing customer data, companies can cater to individual preferences. Also, businesses assess customer feedback and complaints to find out well-performing areas and areas that need improvement. Sentiment analysis classifies emotions as positive, negative, or neutral. The travel companies review their services accordingly, enhancing customer loyalty and satisfaction. Strategic Planning: It becomes easy for travel companies to identify evolving trends such as increasing preference for eco-tourism. These insights allow the marketing teams to plan strategically, launch marketing campaigns, and tap new opportunities. Managing Risks: Unforeseeable situations such as adverse weather conditions or epidemics may bring paramount havoc to the travel industry. With the help of real-time data analytics, travel companies can handle associated risks and send alerts for disruptions. This enables them to make arrangements to reduce adverse effects on the travel plans of customers. Conclusion: Travel and tourism companies can grow by leaps and bounds by implementing data warehouses. The travel analytics solutions provide meaningful insights to enhance operational efficiency, lower risks, assess marketing campaigns, forecast trends, and deliver incredible customer experiences. These platforms also aid in overcoming the challenges that pop up when dealing with large volumes of data with the help of reliable data governance practices. Data is an integral force and

Yashica Chopra
January 31, 2024
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5 Top Manufacturing Analytics Solutions Provider for 2024

Investing in manufacturing analytics solutions is the stepping stone to revolutionizing the enterprise with advanced technologies. Here, we’ll discuss the importance of managed analytics and the top solution providers offering manufacturing analytics in the USA. Industry 4.0 has revolutionized the manufacturing industry by bringing advanced technologies like artificial intelligence, big data analytics, machine learning, generative AI, etc., to unlock the power of manufacturing data and use it to make faster and better decisions. Manufacturing enterprises are adopting the technologies to reduce the risk of uncertainties and minimize disruptions to production, supply chain, and logistics. The ReportLinker said that the manufacturing analytics market is likely to reach $22.7 billion by 2027 at a CAGR (compound annual growth rate) of 22.8%. According to a report by Imarc Group, the global manufacturing analytics market size was estimated at $12.8 billion in 2023 and is predicted to reach $60.5 billion by 2032 at a CAGR of 18.2%. While North America is the largest region, Asia-Pacific is the fastest-growing region adopting manufacturing analytics. Software and service are the two main components of manufacturing analytics. Software refers to business intelligence and data analytical tools, whereas service implies the role of third-party analytical solution providers. They offer end-to-end manufacturing analytics services to help manufacturers adopt data-driven models in the enterprise and use business data to derive real-time insights for effective decision-making. Let’s read more about manufacturing analytics and the top service providers in the US. What is Analytical Manufacturing? The use of data analytical tools to collect, store, clean, process, and analyze manufacturing data is known as manufacturing analytics. It helps reduce downtime, improve production and performance, enhance customer experience, make proactive decisions, understand market conditions, and increase ROI. From eliminating bottlenecks during production to streamlining the supply chain and transportation, it can help an enterprise gain complete control over its processes. Cloud-based analytics for the manufacturing industry are used to monitor KPIs (key performance indicators), identify revenue streams, eliminate errors, and handle risk effectively. In short, manufacturing analytics have a versatile and diverse role in the sector. So, what insights can you provide with analytics to the manufacturing industry? A few examples are as follows: Many consulting firms offer services to implement and customize BI for manufacturing analytics and insights. We’ll look at the top service providers in the next section. Top Manufacturing Analytics Solutions Providers for 2024 DataToBiz DataToBiz offers comprehensive managed manufacturing analytics solutions for MSMEs and large enterprises in the industry. It has clients from various continents like North and South Americas, Asia, Australia, Africa, and the Middle East regions. The award-winning company empowers enterprises by sharing actionable insights about manufacturing operations, logistics, resources, machinery, assets, etc. From identifying KPIs to tracking them through customized dashboards, the team follows a systematic approach to streamline the process and share real-time insights. DataToBiz also provides manufacturing data governance services to collect, store, clean, and update enterprise data as per the data security and data privacy regulations. Identify gaps in the supply chain, increase OEE (overall equipment effectiveness) score, control overhead costs, and improve production efficiency. It also uses generative AI and LLMs (large language models) to enhance manufacturing processes. The company is a certified partner of Google, AWS, and Microsoft. It helps manufacturers gain greater transparency and become sustainable in the long term. It also provides automation and IoT-enabled (Internet of Things) analytics to promote greater flexibility, scalability, and agility in the enterprise. DataToBiz offers end-to-end integration services with Industry 4.0 technologies to help manufacturers increase ROI and revenue. DiLytics DiLytics is a pure-play analytics company with expertise in offering cloud and on-premises data analytics services to businesses from different industries. It provides end-to-end spectrum services, ranging from strategic consultation to implementation and managed solutions for manufacturers with diverse requirements. The company has a plethora of plug-and-play tools to offer managed analytics for supply chains in manufacturing and other department-based requirements. Moreover, it works with private and public sector enterprises. DiLytics categorizes its services into three aspects – think, build, and run. While strategy, roadmap, audit, and technology evaluation belong to the ‘think’ category, self-servicing analytics, predictive analytics, system migration and upgrades, etc., fall into the ‘build’ category. Testing and long-term maintenance support are a part of the ‘run’ solutions. The cross-functional analytics offered by the company help eliminate bottlenecks, improve inventory management, and get better control over the finances and resources. DiLytics also implements custom warehouse solutions for large-scale manufacturers. ThirdEye Data ThirdEye Data is a data analytics and AI company that enables enterprises to increase production accuracy and gain operational efficiency by leveraging advanced technologies. The company offers customized BI for manufacturing processes, along with ChatGPT-based insights and AI/ ML automation to empower businesses. It helps clients make informed decisions with effective data engineering services. The company specializes in building bespoke smart factories with AI technologies to empower enterprises to tackle real-world problems using data-driven solutions. ThirdEye Data follows a step-by-step process to build AI applications and integrate them with enterprise systems. Aspects like data security and compliance are given importance. The company also provides scaling, monitoring, and maintenance services for clients. Predictive analytics, supply chain management, and quality control are some manufacturing services offered by ThirdEye Data. The company has ISO 27001:2013 and SOC 2 Type 1 certifications. It is a Microsoft Silver Partner and has the necessary experience to help enterprises achieve digital transformation on any scale. Indium Software Indium is a fast-growing digital engineering company that builds next-gen cutting-edge technologies to help businesses achieve their goals. It works with Fortune 500 and Global 2000 companies in various industries. It has also partnered with industry leaders like AWS, Databricks, etc., to help enterprises use the latest tools and technology for digitalization. The company offers customized managed BI solutions for smart factories without disrupting the existing workflow in the enterprise. It helps manufacturers understand the challenges of finding effective long-term solutions. Indium provides digital manufacturing and operational solutions such as IT/ OT convergence, data insights, twin-centric architecture, industrial IoT sensor installation and connectivity, predictive analytics, intelligent asset management, Industry 4.0 adoption, inventory management, transportation management, etc. The company provides continuous

Yashica Chopra
January 30, 2024
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5 Top Consulting Firms for AI Adoption in the US Tech Startups

AI adoption is fast becoming compulsory to survive the changing market conditions. It helps gain a competitive edge and boosts revenue. Here, we’ll discover the top consulting firms for AI adoption in the US that work with tech startups and its role in boosting revenue.. Artificial intelligence adoption has picked up pace in the global market. Generative AI has further boosted the demand for AI tools across various industries. AI is no longer limited to large brands but is just as accessible to startups and small businesses. According to statistics, the world spent $154 billion on AI solutions in 2023. The global AI market was valued at $207.9 billion, a 50% increase from 2022. This amount is expected to touch $1.35 trillion by 2030, with artificial intelligence contributing $15.7 trillion to the global economy. The global AI adoption rate was 35% a couple of years ago. This is expected to increase as more businesses invest in new technology. Another report shows that over 25% of the startup funding in the US went to AI startups in 2023. Around 78% of executives say that they believe generative AI offers more benefits than risks. However, to minimize the risk and maximize profits, the startup should have the necessary expertise and guidance to adopt AI successfully. This can be achieved by partnering with consulting firms offering AI solutions for tech startups in the US and around the globe. Let’s look at the top service providers in this blog. What is an AI Consulting Firm? One of the main barriers to AI adoption is the lack of expertise. Technical know-how, experience, strategy formation, etc., are some concerns that make businesses wary of investing in something they don’t know. That’s where consulting firms provide support and assistance. An AI consulting firm is a third-party (onshore and offshore) service provider that helps an organization plan, build, deploy, customize, upgrade, and maintain artificial intelligence-based tools to streamline business processes and gain a competitive edge. An AI consulting company has a diverse role and offers the following services: However, not all AI consulting firms offer every service listed above. Only some firms, like DataToBiz, provide complete end-to-end solutions for tech startups. Some may offer only strategic consultation, executive consulting, or cloud services. The big four companies, like Deloitte, PwC, EY, and KPMG, cater to established large brands, making them too expensive for startups and SMBs. 5 Top Consulting Firms for AI Adoption in the US DataToBiz DataToBiz is among the leading AI product development companies in the USA, with clients from varied industries. It works with startups, SMBs, MSMEs, and large enterprises in America and other countries around the world. The award-winning company offers comprehensive solutions to tech startups and guides them through every stage, from planning to implementation. It is a certified partner of Google, AWS, and Microsoft. The company’s clients prefer long-term partnerships to benefit from the team’s expertise and make the most of its maintenance services. DataToBiz builds AI/ ML models and NLP (natural language processing) and deep learning algorithms. It offers vision analytics and develops LLMs (large language models) for startups to establish a robust IT infrastructure from the initial days. The company also takes care of automation and product development. It can create custom apps or personalize existing tools to suit the startup’s requirements. Data harmonization, big data management, installing IoT (Internet of Things) devices, etc., are also a part of the company’s offerings. DataToBiz is a one-stop destination for tech startups to achieve their goals and increase ROI. HensonGroup HensonGroup is a US-based global Azure managed service provider. It provides digital transformation services to businesses from industries like manufacturing, retail, education, healthcare, nonprofits, etc. The company specializes in intelligent managed services to offer the best support for businesses to make data-driven decisions. From Microsoft Azure migrations to management, it takes care of everything to increase the cost-efficiency of the business through cloud computing solutions. HensonGroup offers a range of services, though predominantly focused on Azure cloud computing and Microsoft solutions. It also has OpenAI expertise and helps businesses choose the best cutting-edge technologies to revamp their business. The company has an OpenAI Accelerator Program for startups and established businesses to effectively adopt generative AI and integrate it seamlessly with their existing processes. It also has ISO certifications – 27001:2013, 9001:2015, and 20000-1:2018. Juniper Networks Juniper Networks is an AI service provider offering a plethora of solutions to manage the IT infrastructure, networks, and other technologies in the business. It offers startup AI strategy and consulting services through innovation, automation, and cloud operations. The company works with businesses from many industries, ranging from banking to healthcare and more. It believes in simplicity while embracing diverse ideas to promote the adoption of advanced technology. It also takes social responsibility seriously and has an integrity-driven supply chain. Juniper Networks is a dependable service provider and helps clients achieve sustainable growth. For example, Juniper Apstra is a networking software that automates and validates the design, deployment, and operation of data center networks. The company combines multi-cloud computing and 5G technologies to ensure reliable, fast, agile, and scalable solutions for startups and other popular businesses. The company also handles security solutions to increase system security for devices, apps, IT infrastructure, and users (employees, stakeholders, and customers). LeewayHertz LeewayHertz is an AI development company offering cutting-edge software for startups and enterprises. The company builds innovative and creative tools to help businesses keep up in this fast-paced world. It provides end-to-end AI services and integrates apps with business systems to accelerate digital transformation. The company has expert teams to fine-tune foundation LLMs like GPT and LLaMA. It also creates customized domain-specific models to suit client’s requirements. LeewayHertz has successfully built over 50+ AI solutions to help businesses make data-driven decisions. Experienced software developers and AI engineers work closely to handle everything from conceptualization to implementation. The process is tailored to align with each business’s needs so that the establishment can harness the full potential of data and artificial intelligence. The company builds web and mobile apps, enterprise-grade tools, and generative AI models for

Yashica Chopra
January 29, 2024
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14 Reasons Why US Firms Choose Manufacturing Analytics Solutions

Data analytics in manufacturing helps leverage advanced technologies to adopt the data-driven model for effective decision-making. Here, we’ll discuss manufacturing analytics solutions and why US manufacturers partner with these consulting firms to achieve their goals. The US manufacturing industry is making the most of its legislation and the latest technology to boost the sector. The semiconductor and clean technology units have seen double the investments compared to 2021 and 20 times that of 2019. Despite the economic uncertainties, the shortage of skilled labor, and other supply chain concerns, the US manufacturing industry has a lot to look forward to. According to a recent study by Deloitte, 86% of manufacturing executives believe that smart factory solutions will have a crucial role in handling competitiveness in the coming five years. Similarly, generative AI is expected to have a strong role in product design, supply chain management, and aftermarket services. Smart factory solutions like manufacturing analytics, artificial intelligence, 5G networks, Internet of Things (IoT), cloud computing, etc., help create a cohesive factory unit where the systems, equipment, and human resources (employees) are connected using technology. Real-time insights, end-to-end visibility, agile manufacturing, flexibility, scalability, resilience, and efficiency are possible when the enterprise digitally transforms its processes by adopting smart factory technologies. Partnering with analytical service providers is a cost-effective manufacturing BI solutions for enterprises in the industry. Let’s understand the top reasons for US manufacturers choose managed analytics consulting services to boost their overall efficiency. What is Manufacturing Analytics Solutions? Managed analytics is a service offered by third-party companies to help businesses collect, clean, store, process, and analyze large amounts of data to derive accurate, actionable insights for decision-making. Data is vital to make informed and quick decisions about various business aspects. Data scattered across the enterprise in different silos is easily outdated and of low quality. Now, Manufacturing analytics solutions for enterprises solve this problem by streamlining data storage through data warehousing and data lakes. This allows the manufacturer to use historical and real-time data for analysis and get in-depth insights. Business intelligence platforms like Power BI also offer data visualization to convert insights into easy-to-understand graphical reports. Manufacturing analytics managed services provided by companies like DataToBiz help manufacturers with the following: Top Reasons Why US Manufacturers Choose Managed Analytics Consulting Manufacturing analytics solutions help enterprises improve production efficiency, enhance product quality, reduce costs, and minimize the time-to-market by streamlining internal and external operations. US manufacturers are getting higher ROI after investing in data analytics and business intelligence. Here are a few reasons to choose managed analytics in the sector: Quality Control Compromising quality can lead to many problems for a manufacturer. However, too much emphasis on quality can increase costs and make production expensive. AI/ML based manufacturing analytics solutions help find the right balance between cost and quality. This is done at multiple levels, like early detection of faults, 24*7 anomaly detection, identifying areas of wastage, etc. This data and insights form the basis for making informed decisions quickly. Supply Chain Optimization Data optimization in manufacturing includes the collection of raw data from several sources. This increases transparency and provides end-to-end visibility across the supply chain. The manufacturer can get real-time information about suppliers, materials, inventory in the warehouse, stock with distributors, market demand vs. supply ratio, etc. These reports allow enterprises to adjust production quantity, choose the right vendors and supply chain partners, streamline transportation, etc. Predictive Maintenance Equipment maintenance is a major issue in factories. Unexpected breakdowns can cause delays and losses as production takes a hit. However, this problem can be solved by deriving managed manufacturing data insights about the machinery and its health. IoT (Internet of Things) devices are used to collect data from machines and analyze it to detect signs of wear and tear or technical glitches. Then, the supervisors schedule predictive maintenance sessions during non-production hours. This prevents random breakdowns and increases equipment lifespan. Improve OEE (Overall Equipment Effectiveness) OEE can be improved through predictive maintenance, process optimization, reducing wastage, etc., achieved by using analytics at every stage of manufacturing. Investing in managed BI for smart factories is a sure way to ensure a greater OEE score and become a reputed manufacturer in the market. The service providers use tools like Power BI to set up customized OEE dashboards for supervisors, managers, and decision-makers. Sustainability and Energy Management In today’s world, enterprises have to focus on developing sustainable processes to become energy efficient and reduce carbon footprint. Manufacturing analytics helps with this aspect, too, by providing insights about how to optimize resources, where to conserve energy, how to choose alternate energy sources, which production methods to change, and so on. The manufacturer can reduce environmental impact, adhere to green regulations, and build a sustainable business for the future. Demand Forecasting BI for manufacturing uses historical and real-time data to predict future trends in the market. The sales team can use the demand forecasting reports to plan their marketing strategies by finalizing the product launch time, target audiences, channels for communication, etc. It also helps streamline warehouse management and production to handle market demand effectively. The idea is to avoid being over-stocked or under-stocked. Root Cause Analytics Root cause analytics provides in-depth insights into the reasons for the various issues affecting an enterprise. By using operational analytics for manufacturing, the business can get to the actual cause of the problem, understand why it occurs, and find a comprehensive solution to get rid of it forever. It helps implement corrective steps in different ways to achieve the desired results. Instead of finding short-term solutions, the focus is on solving the problem completely and preventing it from recurring. Customer Behavior/ Feedback Analytics No manufacturer can ignore their customers. However, understanding what customers want can be tricky and complicated. Fortunately, customer sentiment analysis, feedback analysis, and behavior analytics can provide reliable insights into what the target audiences expect from the business. This helps in attracting more customers and increasing brand loyalty. Product Lifecycle Management Adopting customized BI for manufacturing processes allows the enterprise to get insights about each stage of the product lifecycle, be it design, research, production,

Pawan Chabra
January 25, 2024
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Top 10 Analytics & BI Consultants in Manufacturing

This comprehensive article explores the transformative impact of data analytics and Business Intelligence on the manufacturing industry. It highlights the top 10 Analytics & BI consultants in manufacturing, showcasing their expertise in navigating the data-rich environment. The era of relying solely on intuition is long gone, replaced by a data-centric approach that empowers manufacturers to extract actionable insights from vast datasets. Data analytics has emerged as a critical force driving strategic decision-making and operational efficiency in the manufacturing industry. This paradigm shift not only enhances productivity but also enables companies to stay competitive in a global marketplace. Analytics & Business Intelligence (BI) consultants play a crucial role in navigating this data-rich environment for manufacturing enterprises. These manufacturing analytics solution providers’ consultants bring a specialized skill set to the table, adept at interpreting complex datasets and translating them into actionable strategies. A study by Accenture reveals that an overwhelming 73% of companies are giving top priority to AI investments, emphasizing the immediate goal of enhancing operational resilience in an unprecedented business environment. From optimizing supply chain management to predictive maintenance and quality control, BI for manufacturing enables manufacturers to unlock the full potential of their data, fostering innovation and informed decision-making. Top 10 Analytics & BI Consultants in Manufacturing Analytics and business intelligence are an important piece of the puzzle when seeking success in today’s technology-powered manufacturing industry. Here are the top 10 Analytics & BI consultants in manufacturing: DataToBiz DataToBiz stands as a beacon in AI and Big Data Analytics, with a profound mission to guide organizations in managing data assets and making data-centric decisions. Their collaborative approach to manufacturing data governance services and managed analytics solutions for manufacturing unlock valuable insights to solve complex business problem statements. By working closely with clients, DataToBiz goes beyond traditional manufacturing BI solutions, building tailored capabilities across manufacturing analytics-managed services that offer sustainable advantages in a data-driven landscape. Their commitment to managed analytics solutions for manufacturing and empowering organizations through data utilization positions them as one of the best strategic analytics & BI consultants in manufacturing. Accenture Accenture, a global consulting giant, brings an extensive portfolio of experience to the forefront of manufacturing analytics. Their end-to-end solutions cover the spectrum from strategic planning to implementation, ensuring that manufacturing enterprises not only adopt analytics but leverage it as a strategic advantage. Accenture’s commitment to providing cloud-based analytics for manufacturing industry positions them as leaders in achieving operational excellence. The global scale of their operations allows Accenture to offer insights and solutions that resonate with the diverse needs of manufacturing entities, propelling them into the forefront of industry innovation. Cognizant Renowned for its seamless data integration and BI capabilities, Cognizant provides manufacturers with comprehensive solutions for harnessing the full potential of their data. The commitment to fostering efficiency and innovation across the entire value chain sets Cognizant apart as a key player in the manufacturing analytics landscape. Beyond mere data analysis, Cognizant becomes a strategic ally with customized BI for manufacturing processes to align data-driven decisions with broader business goals. Their expertise extends beyond the technicalities of analytics, encompassing a holistic approach to operational improvement and sustained competitiveness. Deloitte Deloitte, a juggernaut in consulting services, distinguishes itself by offering managed BI for smart factories. The guidance they provide in Industry 4.0 adoption showcases a commitment to technological evolution, positioning them as strategic partners for manufacturers navigating the complexities of the digital landscape. Deloitte’s multi-faceted approach goes beyond analytics, incorporating a broader perspective that aligns technological advancements with overarching business strategies. In doing so, they become architects of holistic transformation for manufacturers aiming to thrive in an era of rapid technological change. KPMG KPMG’s expertise, ranging from data strategy to AI-powered solutions, underscores their commitment to enhancing efficiency and agility for manufacturers. Their focus on providing integrated analytics for manufacturing operations and optimizing operations through advanced analytics implementations positions them as valuable assets for companies striving to remain competitive in a swiftly evolving market. KPMG’s holistic approach considers the intricate interplay between data-driven decisions and overarching business objectives, making them instrumental in helping manufacturers navigate the complex landscape of modern analytics. PwC PwC’s prowess in delivering AI/ML analytics for manufacturing value chain reflects a nuanced understanding of industry dynamics. By aiding companies in optimizing operations and driving digital transformation, PwC emerges as a strategic partner for manufacturers seeking to leverage analytics for enhanced decision-making in the digital age. PwC’s commitment extends beyond technical implementation of business intelligence in manufacturing, delving into strategic integration within broader business contexts, and fostering a holistic approach. IBM IBM stands out as an expert, specializing in areas such as production optimization, predictive maintenance, and quality control in manufacturing analytics. Their deployment of advanced analytics techniques empowers manufacturers to enhance production efficiency and maintain high-quality standards. IBM’s manufacturing analytics solutions position them as invaluable contributors to overall business success. By focusing on specific domains within manufacturing, IBM showcases a depth of expertise that resonates with companies seeking targeted solutions to intricate operational challenges. Capgemini Capgemini’s excellence in supply chain analytics and optimization is a testament to their deep understanding of the complexities within supply chain management. By providing manufacturers with insights to improve demand forecasting and logistics, Capgemini becomes a key player in streamlining operations and enhancing efficiency. Their contributions extend beyond data analysis, delving into the strategic optimization of supply chain processes. Capgemini has strong capabilities under power BI for manufacturing industry. Its role in supply chain analytics positions it as a crucial partner for manufacturers navigating the intricacies of modern supply chain dynamics. Infosys Renowned for its digital expertise and global delivery network, Infosys offers AI-powered analytics and BI solutions to streamline manufacturing processes and optimize the value chain. Leveraging cloud technology, Infosys facilitates a responsive and scalable analytics environment. By enabling manufacturers to access real-time insights, Infosys is an instrumental player in fostering adaptability and competitiveness in a dynamic market. Their emphasis on cloud-based solutions aligns with the growing need for flexibility and scalability in modern manufacturing analytics.

Pawan Chabra
January 23, 2024
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Top 7 Data Warehousing Consultants for US Travel & Tourism 2024

In 2024, data-driven decision-making is driving the travel and tourism industry. Data warehousing consulting companies offer personalized experiences and streamline operations. Here are the leading data warehousing consulting companies for US travel and tourism. The travel and tourism industry stands at the crossroads of innovation with data-driven decision-making being the critical driver. As destinations strive to offer personalized experiences and streamline operations, the role of data warehousing for tourism has emerged as a linchpin for success. With close to 70% of all travel bookings being made online, it is the right time for the industry to move towards building a positive experience for the long term. The industry relies on several data sources, from customer preferences and booking patterns to operational logistics and market trends. A comprehensive data warehousing strategy becomes the backbone, seamlessly integrating, managing, and analyzing this wealth of information. This not only enhances operational efficiency but also empowers businesses to anticipate and meet the dynamic demands of today’s travelers. Yet, the implementation of effective data warehousing solutions isn’t a standalone endeavor; it necessitates a strategic partnership with data warehousing consulting companies. Beyond the intricacies of technology, consulting services bring invaluable expertise to the table, ensuring that data warehousing aligns seamlessly with organizational goals. 7 Top Data Warehousing Consulting Companies for US Travel & Tourism in 2024 Selecting the right data warehousing consulting partner sets the right foundation for a travel and tourism business. Here are the 7 top data warehousing consulting companies for US travel & tourism in 2024: DataToBiz DataToBiz has established itself as a go-to partner for organizations seeking comprehensive and cutting-edge travel analytics and managed analytics solutions. With a robust suite of services, the company excels in providing expert guidance through its data warehouse consulting, helping clients navigate the complexities of design and infrastructure analysis. Managed analytics professionals at DataToBiz not only recommend optimal alternatives, such as cloud or hybrid data warehouses but also craft robust data integration strategies for managed analytics for the travel industry. Going beyond consultation, the company demonstrates prowess in the development and implementation of data warehouse solutions, tailoring them to meet specific organizational needs within defined timeframes and budgets enabling data-driven decision-making in the tourism and travel sector. Specializing in seamless data migration strategies, DataToBiz envisions a future where data resides in the cloud, offering dedicated support services to ensure ongoing functionality and performance monitoring. With a commitment to holistic data solutions, DataToBiz emerges as a trusted partner, transforming data into a strategic asset for sustainable business growth. Capgemini Capgemini stands as a renowned leader in data management, specializing in providing tailored data warehousing services for the travel and tourism industry. Recognized for their expertise, Capgemini excels in seamlessly integrating disparate data sources, constructing resilient data lakes, and crafting sophisticated data-driven strategies. With a commitment to excellence, they offer comprehensive solutions that empower businesses in the travel and tourism sector to harness the full potential of their data for informed decision-making and operational efficiency. Infosys Infosys, a prominent IT services provider, stands out as a premier data warehousing company with substantial expertise in the US travel and tourism sector. Renowned for its capabilities, Infosys excels in implementing cutting-edge data platforms, automating processes, and upholding robust data governance standards. With a proven track record, Infosys empowers organizations in the travel and tourism industry to leverage advanced data warehousing solutions, fostering efficiency, reliability, and strategic decision-making. Cognizant Ranked among the top data warehousing consulting companies for US Travel & Tourism in 2024, Cognizant brings a robust emphasis on data analytics and digital transformation to the table. Leveraging their expertise, they assist travel and tourism companies in constructing modern data warehouses, extracting actionable insights crucial for informed decision-making. Cognizant’s proficiency extends to providing cloud-based solutions, capitalizing on their industry-specific knowledge to deliver valuable assets for businesses navigating the dynamic landscape of travel and tourism data management. With a focus on innovation, Cognizant stands as a strategic partner for organizations seeking cutting-edge solutions in data warehousing. Mu Sigma Mu Sigma, a global leader in data science and analytics, emerges as a key player in delivering innovative data warehousing solutions tailored to the unique needs of the travel and tourism industry. Renowned for its expertise in predictive analytics and machine learning, Mu Sigma empowers businesses to optimize pricing strategies, personalize offers, and enhance customer engagement. As the world’s largest pure-play Big Data analytics and decision science company, Mu Sigma collaborates with over 140 Fortune 500 companies, amplifying productivity and providing meaningful solutions by integrating people, processes, and platforms. ThoughtSpot ThoughtSpot emerges as a rising star in the data analytics arena, providing a distinctive search and navigation platform designed to simplify data exploration and analysis for business users, eliminating the need for technical expertise. In the context of the travel and tourism industry, ThoughtSpot’s innovative solution proves especially valuable. It facilitates the democratization of data access, empowering teams within travel and tourism companies to make informed, data-driven decisions. ThoughtSpot’s commitment to travel revenue management analytics aligns with the growing demand for intuitive tools, making it a compelling choice for organizations seeking to enhance their analytical capabilities in the dynamic landscape of the travel and tourism sector. IBM As a technological behemoth with a storied legacy in data management, IBM stands out as a powerhouse providing robust data warehousing solutions, including Db2 and Cloud Pak for Data. IBM’s unparalleled expertise in AI and analytics proves instrumental in enabling companies to achieve a profound understanding of their customers. By leveraging IBM’s cutting-edge solutions, businesses in the travel and tourism sector can unlock the potential for personalized experiences, enhancing customer engagement and satisfaction. IBM’s commitment to innovation continues to make it a strategic partner for organizations seeking to harness the power of advanced data warehousing in their operations. Industry Trends: Data Warehousing for Travel and Tourism Industry The travel and tourism industry is undergoing a data revolution, fueled by the explosion of digital bookings, mobile apps, and social media interactions. This has generated a treasure trove of

Kavika Roy
January 22, 2024
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eCommerce Analytics Simplified- Data Warehousing Challenges Solved by Managed Analytics

Data teams face different challenges while storing and analyzing intricate datasets in data warehouses. Find out how you can overcome these challenges by using eCommerce analytics offered by digital commerce managed services tools. Data and analytics play an important role in running an eCommerce business successfully. The analytics tools enable businesses to track and analyze business performance through reports and dashboards, giving meaningful insights. However, when dealing with extensive datasets, businesses face challenges related to storage and analysis. Data warehouses store and manage data to ensure that analytics tools can easily process it to extract meaningful conclusions by analyzing query results. In this blog, we’ll talk about the common challenges in data warehousing and how you can overcome them using managed analytics. What is data warehousing in eCommerce? In the context of eCommerce, data warehousing refers to collecting, storing, and organizing data sets from multiple datasets, enabling businesses to get insights and facilitate data-driven decision-making in eCommerce. Let’s have a quick look at the benefits of data warehousing in eCommerce. What are the common challenges of data warehousing? Data Quality: Errors and improper updates lead to inaccurate data which impacts data quality. As businesses are increasingly implementing digital commerce solutions, they may face the problem of unintentional data silos. This makes data integration difficult throughout the system. Data Accuracy: Inconsistencies may lead to inaccurate data in data warehouses. This further compromises the reliability of insights and reports generated from inappropriate data. Performance: Slow performance of data warehouses results in sluggish query speeds which makes it difficult for the users to make quick decisions. Advanced solutions for data warehousing in eCommerce optimize processes and enhance performance. eCommerce Data Analytics- simplified! eCommerce data analytics includes analyzing large data sets to understand market trends, and customer preferences, and obtain meaningful insights to find out what’s working and what’s not in your eCommerce business. Understanding eCommerce sales analysis allows business owners to make strategic decisions, bringing high productivity and profitability. It helps them to understand the patterns in customer behavior analytics in eCommerce, and their preferences to personalize marketing strategies that resonate with target demographics. Further, it makes it easy to adjust pricing depending on factors such as competition and demand. By using data analytics, businesses can send customized product recommendations to shoppers to increase customer engagement and sales. Also, it predicts future trends to tailor the marketing strategies to yield high ROI. What are the potential challenges in using data analytics on eCommerce platforms? Now let’s discuss the biggest challenges that eCommerce marketers face when dealing with data. Excessive Dependence on Vanity Metrics: Metrics such as page views or social media followers often look fascinating, however, do not correlate with customer engagement or conversions. Businesses should focus on high-priority metrics (cart abandonment, customer lifetime value, and conversion rates) to analyze the growth of their eCommerce business. Ignoring Updates to Data Sources: eCommerce solution providers must update their data sources in real-time to ensure the accuracy and integrity of data. Data Silos: Data silos result in a fragmented view of business performance. Therefore, it is essential to integrate data sets to give a comprehensive view of the business, facilitating prompt decision-making considering all aspects of business. Wrong Interpretation of Data: It is easy to misinterpret data when the context is lacking. For example, a quick increase in website visitors may initially appear positive, but it could be due to a controversial ad or the virality of bad reviews floating around the Internet. Thus, the analytics team must understand and cross-reference data to ensure accuracy. Managed Analytics Tools Now let’s find out some of the top tools managed analytics tech stack include: Data Storage: Amazon Athena, Azure Synapse Analytics, Amazon Redshift, Azure Data Lake Storage, SAP, Amazon S3, MongoDB, MySQL, Azure Integration Services, Hadoop, Google Big Query, and Microsoft SQL Server Data Integration: Microsoft SQL Server, AWS Glue, Python, Apache Airflow, Talend, and Azure Data Factory Business Intelligence: Tableau, Microsoft SQL Server, Power BI, Metabase, MicroStrategy, Excel, Qlik Sense, and Redash Data Ingestion: Kafka, Amazon Kinesis, and Microsoft Azure Data Processing: Microsoft SQL Server, Apache Spark, and Databricks ERP Systems: Oracle Enterprise Resource Planning Cloud, Microsoft Dynamics 365, and SAP S/4 HANA Cloud Partners: Azure, AWS, and Google Cloud Platform How can Managed Analytics Services Simplify Analytics of Enterprise eCommerce Solutions? Managed Analytics are indispensable for eCommerce analytics solution companies. They transform raw data into practical insights ready for implementation. With the assistance of analytics experts, you can obtain the most out of existing business data, and make precise decisions with the help of data-driven tactics. How do Managed Analytics work? The key steps of managed analytics include: Data Collection: Collects data from diverse sources such as databases, files, or APIs. Storage and Cleaning: Stores collected data in a centralized system such as a data warehouse to ensure accuracy and consistency. Analysis and Modelling: Uses advanced analytics tools and algorithms to examine patterns and trends and generate insights to make informed decisions. Visualization and Reporting: Presents insights in understandable formats including visuals, dashboards, and automated reports, making it easy to comprehend information and take necessary action. Continuous Improvement: Monitors the performance of the organization, optimizes processes, and enhances efficiency through regular improvements. How do Managed Analytics Services help Manage eCommerce Analytics? Data Governance: Data governance sets the guidelines and standards to handle eCommerce data to ensure its reliability, accuracy, security, and consistency. It safeguards eCommerce data such as customer information, transaction records, and confidential information to maintain privacy. Big Data Implementation: With Big Data, you can easily manage large amounts of data generated in eCommerce including customer interactions, transactions, and much more. It also tracks patterns and trends to offer predictive analysis. Data Architecture: A robust data architecture organizes and structures eCommerce data, optimizing data flow. It also makes it easy to integrate data from different sources and access it. Data Lake: Data lakes serve as central repositories to store structured and unstructured eCommerce data, making it easy to store, process, and analyze all

Yashica Chopra
January 20, 2024
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6 Top UK Real Estate Analytics Firms Advancing into the Data Age

The real estate sector in the United Kingdom is going through a transformational phase in recent times. Here, we’ll discuss the top real estate analytics consulting firms in UK and their role in promoting technological adoption in the industry. The real estate market constantly faces challenges, be it inflation or socioeconomic conditions. According to CBRE, the UK real estate market had been an uphill task as the interest rates hit a fifteen-year high. The asset values declined, making it hard for investors to buy a property and maintain it. With the inflation falling in at the end of 2023, real estate companies in the UK are hopeful. Moreover, with the elections scheduled, many investors and brokers feel things will get better in the second half of 2024. The report shows that commercial real estate will be more attractive this year since the yields are likely to stabilise. In such conditions, it’s even more crucial for real estate agencies to stay one step ahead of the market changes to provide investors with worthy properties. Competition is also high, with around 146,100 private real estate companies in the UK. These businesses had a yearly turnover of 72.81 GBP in 2023. If the conditions become favorable, the market share will increase by a greater margin. The agency can achieve its goals by investing in real estate business intelligence to derive actionable and real-time property analytics for effective decision-making. From identifying potential properties for sale to being the first broker to reach out to clients, real estate analytics services can help you streamline and accelerate your goals. Let’s find out more about consulting firms offering real estate analytics in the UK. What is a Real Estate Consulting Firm? A real estate consulting firm offers managed analytics for real estate agencies and brokers. The consulting firms have diverse responsibilities and help with digital transformation, data governance, data warehousing and engineering, business intelligence, etc., to unlock the power of real estate data. The service providers provide the necessary know-how, technology, tools, and expertise for strategic planning, implementation, and maintenance of data analytical tools. The primary purpose of a real estate analytics firm is to promote data-driven decision-making in real estate agencies, business owners, and investors. Conducting market surveys, identifying patterns and trends, managing portfolios, lease advisory, due diligence, etc., are some services offered by these firms. In short, partnering with a real estate analytics consulting company is the best way to digitise the business and gain a competitive edge. Top Real Estate Analytics Consulting Firms in UK DataToBiz DataToBiz is among the top real estate analytics consulting firms in the UK, offering end-to-end services to residential and commercial agencies, brokers, and corporate companies in the industry. It provides managed data warehousing for property development solutions to stay updated about the properties in the regions the business operates. The company uses business intelligence tools like Power BI to build customised dashboards for property management, investor analysis, market forecasting, etc. DataToBiz also builds tailor-made apps for property portfolio analytics. It enables real estate agencies to effectively use the right BI solutions for property investment and decision-making. The company is a certified partner of Microsoft, Google, and AWS. It follows a client-centric model to accelerate success and help clients achieve their goals. It has worked with over 300 firms from various markets and has more than 97% project satisfaction rate. DataToBiz combines technology, domain experience, and local expertise to empower real estate companies to build sustainable businesses and proactively handle market volatility. Deloitte Deloitte is a popular multinational company with a presence in many countries. Deloitte Real Estate combines property services with financial reporting and business advisory solutions to provide complete support to real estate agencies and corporate companies. It uses years of expertise to build and implement property financial reporting using BI tools and derive real-time construction project analytics. It helps address the various challenges faced when handling high-capital projects. The company also has a team to specifically handle real estate and tax concerns for private individuals/ residential clients. Deloitte gives importance to sustainability and climate concerns. It uses generative AI design to enhance urban development and planning without adversely affecting nature. As a real estate market intelligence service provider, the company understands the importance of data and its role in helping agencies, brokers, and investors make the right decision in a quick time. Deloitte has a solution called Real Estate Climate Value at Risk (RECVR) in partnership with Longevity to enable decision-making based on climate-risk information. This is a great tool for corporate businesses to choose commercial property. KPMG KPMG has completed over 150 years in the UK and is a well-known company offering auditing and tax services for businesses from various industries, including real estate. It provides customised services to effectively manage tax, assurance, and deal advisory, along with ESG (environment, sustainability, and governance) solutions. The company handles global asset management analytics for real estate agencies and corporate businesses with offices around the world. It supports businesses in adopting the latest technology to grab market opportunities and attract more clients. KPMG also provides consulting services for strategic formation and technology implementation in the industry. It assists businesses manage risks and challenges like taxation, regulation, sociopolitical influences, etc., to minimise losses. The company’s real estate BI solutions are aimed at providing the much-required foundation for agencies and businesses to navigate the changing market landscape and uncertainties. KPMG has been contributing to support Britain and its businesses to promote faster growth and development. Bain & Company Bain & Company is a global consultancy with a presence in 65 cities across 40 countries. The company offers tailored and integrated experiences to businesses to help them achieve better and quicker outcomes. It has a platinum rating from EcoVadis and is among the top 1% of companies that focus on high environmental, social, and ethical performance. The company has worked on over 580 service cases in the real estate industry by offering property data insights, building the necessary tools, and providing due diligence based on the client’s requirements. Bain & Company works with agencies, property owners, REITs, and others to assist them in handling various requirements and challenges. It provides several services,