Page 25 – DataToBiz

Kavika Roy
April 12, 2023
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Ankush Sharma on How AI is Revolutionizing Hiring – CEO Blindspots Podcast

🎧 Episode Overview In the latest episode of CEO Blindspots with Birgit Kamps, Ankush Sharma, the CEO of DataToBiz, shared his experience of developing and using HireLakeAI to successfully recruit and hire a talented team of professionals who contributed to the company’s recognition as one of the “Top 1000 fastest-growing firms”. Ankush explained how AI can streamline the recruitment process and help in selecting the most suitable candidates for each job role. Join Ankush Sharma as he shares the origin story of HireLakeAI and the efforts he and his co-founder, Parindsheel S Dhillon, put in during its initial phase. Discover how the COVID-19 pandemic impacted recruiting and HireLakeAI emerged as an innovative solution. Tune in to the podcast! 💎 Key Takeaways 💬 Key Quotes “The DNA of a company is the reflection of the DNA of its founders.” “We do not believe in the culture of, hiring and firing.” 💡 To Sum Up! Join us in this episode as we explore how solving an internal challenge led to the creation of a game-changing solution for revolutionizing the hiring process. Discover the story behind HireLakeAI and the innovative ways it’s transforming the hiring culture.

Yashica Chopra
April 12, 2023
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How to Set Up Power BI Sales Dashboard – Effortlessly Visualize Sales Data

A sales analytical dashboard will empower you to gain an edge over competitors and increase profits for your business. Here, we’ll discuss the steps to create a sales dashboard in Power BI. The sales team has to don many hats. From creating marketing strategies to directly interacting with end users, the sales department is burdened with a heavy workload. Sales analytics helps the teams stay up to date and be proactive in handling leads to increase revenue. Investing in business intelligence tools provides the department with the necessary technical support to be one step ahead of competitors. According to Finances Online, 90% of sales and marketing teams mention that BI tools increase their work efficiency Similarly, a business intelligence sales dashboard is the best tool to empower sales reps and help them make the right decisions. Microsoft Power BI is among the most used business intelligence tools in the global market. Setting up a Power BI sales dashboard and customizing it for the business will ensure that the department can monitor leads, customers, revenue, expenses, profits, and all other KPIs (key performance indicators) in real-time. You can achieve this by partnering with offshore BI service providers. In this blog, we’ll discuss the steps to set up a Sales Power BI Dashboard for the team. We will also look at the reasons to hire offshore Power BI experts instead of building an expensive in-house team from scratch. What is Microsoft Power BI? Power BI is a suite of applications developed by Microsoft to process large amounts of data and analyze it in real time. The insights are presented on the interactive dashboards through data visualization. The graphical reports are easy to read and used for day-to-day decision-making. Power BI is a cloud-based business intelligence tool that can be adopted in different departments of an enterprise. What Goes into a Sales Dashboard? A sales dashboard is an interface that provides actionable insights by processing data from CRM systems. Building a BI sales dashboard can be complex. You should correctly identify the KPIs to track and goals to achieve. Before you decide to set up a weekly sales dashboard, you need to consider the following: A few important metrics or KPIs to include in your sales dashboard are: The effectiveness of reports depends on how accurate your KPIs are and how well you customize the Power BI sales dashboard to align with your business goals. How to Set Up Power BI Sales Dashboard? Setting up a Power BI sales dashboard involves eight steps. The process can be simple or lengthy, depending on the data volume, sources, dashboard layout, and KPIs. 1. Create Your Power BI Account The first step is to create a Power BI account. You can start for free by clicking on the Try Free option on the Microsoft Power BI website. Provide your official email ID or Microsoft 365 login details if you already have an account. Complete your profile and follow the instructions on the screen to set up your profile. 2. Import Data from Sources The next step is to import the data required to create dashboards. You can upload Excel or CSV files (exported from other platforms or apps). Microsoft Power BI accepts different types of input files. You can also integrate Power BI with databases like Salesforce, Dynamics, SharePoint, Azure, etc. Power Bi is compatible with several CRM systems and third-party databases. You can set up API integrations for real-time data flow between the platforms. In fact, you can get data from multiple sources simultaneously. 3. Import Datasets with Report Once you complete the data importing step, you should import Power BI datasets to create the dashboards. Power BI adds a dataset and reports when you import data to the platform. The reports are automatically generated using PowerView sheets. 4. Select Tables to Generate Reports The tables in the imported data can be automatically converted to visualization reports. Go to Navigator View and click on the Edit option. Go to Query editor to add and filter the data in tables to create the reports. 5. Define Relationships Between Data Sources By defining the relationships between different tables, you can create custom visualization to accurately monitor every one of the sales KPIs. You can create a Power BI revenue dashboard by following the same steps. Select Foreign Keys to establish the relationships between two or more tables (data sources). Take time to correctly assign the keys and define relationships and click Ok when done. You can go back to the Report View through the tab on the top left. 6. Customize Visualization Elements So, how do you want to display sales data? The choice is yours. You can customize the interface to suit the sales teams’ requirements. Microsoft Power BI offers great visualization to present reports in graphical formats. You can choose the types of graphs, charts, etc., you want to see on the sales dashboard. Drag and drop the necessary elements onto the dashboard. You can also move them around and adjust their size, positions, filters, etc. 7. Dashboard Embedding For third-party integrations, enter the login details to your database account. Follow the instructions on the screen to configure the database. The reports are ready to be embedded in other platforms. 8. Create Power BI Application This step is optional. You can register an application with Microsoft Power BI to get the application ID and code generated to create the app. Why Hiring Business Intelligence Consulting Companies is a Smart Move Setting up the Power BI sales dashboards requires expertise. The talent gap is a real issue in many enterprises. You can hire new talent, train existing employees, or opt for offshore partners to handle the project. By hiring a BI consulting company, you get the following benefits: Greater Industry Experience BI service providers work with different businesses and have deeper knowledge about the process of setting up Power BI dashboards for sales. For example, DataToBiz has clients from various industries, ranging from manufacturing to healthcare, IT, retail, supply chain, eCommerce, etc., and works with MSMEs,

Pawan Chabra
April 12, 2023
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Complete Guide to Power BI Sales Dashboard – Gain Better Sales Insights

Sales analytics is an essential component of any successful business strategy, as it allows organizations to track and analyze their sales performance data to identify areas for improvement and growth. However, many sales teams still rely on traditional methods to track their performance, such as spreadsheets and manual data entry. This often leads to incomplete or inaccurate data management and analysis. Without a data visualization solution to display their sales data in an intuitive and easy-to-understand format, sales teams can miss out on critical insights that could improve their performance. By implementing a data visualization solution, organizations can empower their sales teams to make data-driven decisions that will drive revenue growth and improve overall performance. Power BI is a business analytics service by Microsoft that provides interactive visualizations and business intelligence capabilities with an interface simple enough for end-users to create their reports and dashboards. With Power BI, businesses can analyze data from a variety of sources and gain valuable insights to make informed decisions. What are Power BI Sales Dashboards? Sales dashboards are one of the most important applications of Power BI for businesses. These dashboards enable companies to track their sales performance in real-time, identify trends, and make data-driven decisions to improve sales effectiveness. In today’s data-driven business environment, BI sales dashboards are an essential tool for businesses to stay competitive and profitable. Why use Power BI Sales Dashboard to Gain Better Sales Insights? Sales dashboards are an essential tool for businesses to gain more control over their sales performance. Here are some of the reasons why businesses should use Power BI sales dashboard to gain better sales insights: Real-Time Data Analysis With Power BI, businesses can track their sales performance in real-time and gain insights into their sales trends, customer behavior, and product performance. Real-time data analysis enables businesses to make quick decisions and respond to changes in the market promptly. Customizable Dashboards Power BI provides customizable dashboards that enable businesses to create tailored visualizations of their sales data. You can choose from a wide range of charts, graphs, and tables to create visualizations that are easy to understand and provide valuable insights into their sales performance. Integrations With Various Data Sources Power BI integrates with a wide range of data sources, including Excel, SQL Server, and Salesforce, among others. This integration enables businesses to collect their sales data from different sources and analyze it in one place, providing a comprehensive view of their sales performance. Data Visualization Power BI provides rich data visualization capabilities that enable businesses to create interactive visualizations of their sales data. These visualizations are easy to understand and provide valuable insights into sales performance, enabling businesses to identify trends and make data-driven decisions. Collaboration Power BI enables businesses to collaborate and share their sales dashboards with team members. This collaboration enables businesses to work together to analyze their sales data, identify trends, and make data-driven decisions. How to use Power BI Sales Dashboard to Gain Better Sales Insights? You should follow a structured approach towards achieving the best results from the Power BI Sales Dashboard. Here is how you can use it effectively: Step 1: Connect to Your Data Source The first step to using the Power BI sales dashboard to generate better sales insights is to connect to your data source. Power BI can connect to a wide range of data sources, including Excel spreadsheets, SQL Server databases, and cloud-based data sources such as Salesforce. To connect to a data source in Power BI, follow these steps: Step 2: Create a New Report The next step is to create a new report in Power BI. A report in Power BI is a collection of visualizations that you can use to analyze your data and gain insights. To create a new report, follow these steps: Step 3: Build the Dashboard After creating your report, the next step is to build your sales dashboard. A dashboard in Power BI is a collection of visualizations and other elements that you can use to monitor your sales performance and gain insights. Follow these steps to build a dashboard in Power BI: Step 4: Add the KPIs to the Dashboard Key Performance Indicators (KPIs) are specific metrics that you can use to measure the performance of your sales team and business. Adding KPIs to your sales dashboard can help you quickly identify areas of strength and weakness in your sales performance. To add KPIs to your dashboard, follow these steps: Step 5: Add Filters and Interactivity Adding filters and interactivity to your sales dashboard can help you gain deeper insights into your sales performance. Filters allow you to focus on specific data points or periods, while interactivity allows you to drill down into specific data points to gain more detailed insights. You can add filters and interactivity to your sales dashboard as follows: Step 6: Publish and Share the Dashboard Once you have built your sales dashboard in Power BI, you can publish it to the Power BI service and share it with others in your organization. To publish and share your dashboard, follow these steps: Expert view: Following these steps can be a bit overwhelming for a business. It is suggested to opt for a BI consultant to accelerate the transformation journey. Tips for Using Power BI Sales Dashboard Effectively When using the Power BI sales dashboard, it’s important to keep in mind some tips that can help you use it effectively: Keep the Dashboard Simple Avoid cluttering the dashboard with too many visualizations and KPIs. Instead, focus on the most critical KPIs that will help you gain insights into your sales performance. This will ensure that the dashboard is easy to understand and provides clear insights. Use Easy-To-Understand Visualizations Choose visualizations that are easy to read and understand, such as bar charts, line charts, and tables. Use colors and labels effectively to highlight important data points. Regularly Update the Dashboard Keep your sales dashboard up-to-date by regularly updating it with the latest

Parindsheel Dhillon
April 12, 2023
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3 Benefits of OEE in Manufacturing: Take Your Business to the Next Level

As a production company, maximizing your equipment’s productivity and tracking production in manufacturing is crucial to maintaining profitability and staying competitive in the fast-paced industry. One way to achieve this is by tracking your Overall Equipment Efficiency (OEE) and leveraging the insights gained to optimize your operations through data-driven decisions. In this blog post, we’ll explore what OEE is, why it matters, and how you can start tracking it today using automated systems and data analytics. What is OEE? OEE or Overall Equipment Efficiency tracking is a data-driven approach used to measure the effectiveness of your equipment in producing goods or services. It considers three key factors: availability, performance, and quality. These factors are then multiplied together to get an overall OEE score, which ranges from 0 to 100%. What Are the Factors Affecting Equipment Effectiveness? Availability Availability refers to the percentage of time your equipment is available for production. If your equipment is frequently down for maintenance or repairs, your availability score will be lower, leading to equipment downtime reduction. Performance Performance measures how well your equipment performs when it’s running. This includes factors such as speed, setup time, and changeover time, which are key factors for production efficiency. Quality Quality refers to the percentage of products or services that meet your quality standards, which are critical for maintaining customer satisfaction. If you produce a high percentage of defective products, your quality score will be lower. What is an Ideal OEE Score? Here are 4 OEE (Overall Equipment Effectiveness) benchmarks commonly used in manufacturing: Benefits of OEE in Manufacturing Tracking your OEE provides several benefits to your manufacturing unit. Some of them are: 1. Identifying Inefficiencies By tracking your OEE, you can identify areas of your production process that are causing bottlenecks or downtime, leading to improved production capacity. This also allows you to make data-driven decisions on how to optimize your operations and improve productivity. 2. Increased Profitability Improving your OEE score directly correlates to increased productivity, which leads to higher profitability, a key advantage in a fast-paced business environment. By maximizing your equipment’s efficiency, you can produce more goods or services in less time, reducing costs and increasing revenue. 3. Improving Quality By measuring quality as a factor in your OEE score, you can identify areas where your products are not meeting your quality standards. This allows you to take corrective actions to improve product quality and customer satisfaction. How to Start Tracking OEE? To start tracking OEE, you can use automated systems such as sensors or software to gather data on your equipment’s availability, performance, and quality. This will allow you to calculate your OEE score using the following formula: OEE = Availability x Performance x Quality You can then use this score to identify areas of improvement in your production process and take action to optimize your operations through data analytics. OEE tracking is a simple yet powerful way to improve the efficiency and profitability of your production company. By production tracking, identifying inefficiencies, increasing manufacturing capacity, increasing productivity, improving quality, and proper industrial production capacity utilization you can stay competitive in the manufacturing industry and gain a competitive advantage in this fast-paced business environment. Power BI for Overall Equipment Efficiency Power BI is a powerful data analytics tool that can help manufacturing units track their Overall Equipment Efficiency (OEE) by providing real-time insights into their product management performance metrics. Here are some ways Power BI can help with OEE tracking: 1. Data Visualization Power BI can help production companies track OEE by providing real-time data visualization dashboards that can show the performance of each machine or equipment. This allows production managers to identify areas of inefficiency in their production process and take corrective actions quickly. 2. Integration Power BI can integrate with different data sources like Microsoft Excel or SQL Server to collect and analyze data from different production systems. This makes it easier for production managers to get a complete view of their production process and identify the root cause of any issues. 3. Customizable Reports Power BI allows production companies to create customized reports showing different KPIs (key performance indicators) related to OEE trackings, such as machine utilization, downtime, and production yield. This helps production managers to identify opportunities for improving production efficiency and profitability. 4. Machine Learning Power BI can be used to implement machine learning algorithms to predict potential issues with the equipment or machines. This allows production companies to take preventive measures to avoid downtime and improve overall production efficiency. 5. Mobile App Power BI can be accessed through a mobile app, which allows production managers to monitor the production process from anywhere and anytime. This provides real-time visibility into production operations and helps managers make informed decisions quickly. Best Practices to Improve OEE in Manufacturing These are some of the best practices that should be implemented to improve OEE: Rowing in a Digital Partner Successfully implementing OEE can be a challenge for some enterprises, hindering their ability to improve it. Assigning a digital or project partner can help overcome challenges and offer complete accountability for OEE implementation. With a consultant/partner in place, issues can be resolved, leading to successful implementation and sustainable changes. Real-Time Data Monitoring and Analytics Today, manufacturers should avoid using outdated manual data collection methods and managing paperwork or Excel files. Instead, they should adopt real-time monitoring to identify performance issues and analyze data for identifying trends and areas for improvement. This enables them to promptly address issues before they escalate into major problems. Implement Continuous Improvement Programs Continuously review and improve processes to identify and eliminate waste, reduce downtime, and improve overall equipment performance. Encourage employees to participate in improvement initiatives and provide them with the necessary training and resources to make changes. Implementing Root Cause Analysis Root Cause Analysis (RCA) is recommended as it is a methodical problem-solving process that identifies the fundamental cause of a problem. By addressing the root cause instead of symptoms, the recurrence of any equipment problem can

Kavika Roy
March 31, 2023
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DataToBiz Celebrates 5 Years of Empowering Enterprises Through Data-driven Insights

DataToBiz, a global entity empowering enterprises with data-driven solutions for 5 years and counting! Their team of experts has unleashed the power of data to fuel growth across industries and tech hubs. “Data transformation is the alchemy that turns data to gold, and we are data alchemists for 5 years now,” says Ankush Sharma, Co-founder, and CEO, DataToBiz. DataToBiz, a leading global data science, and digital transformation firm headquartered in Chandigarh, India is proud to announce its 5th anniversary in the industry. Over the past five years, DataToBiz has fueled businesses by unlocking real business value from their raw data, leveraging cutting-edge technologies into business systems, and providing data analytics expertise and innovative solutions. A go-to choice for enterprise success Since its establishment in 2018, DataToBiz has become a trusted partner for enterprises across various industries, offering solutions that help turn their data into actionable insights. For the past few years, they have stood as Clutch’s leader under the “Top artificial intelligence company in India”. The solid team of experts, data scientists, engineers, and functional consultants have helped clients process their raw data, streamline their day-to-day operations, automate their workflows, empower marketing tactics, and improve their customer engagement, among other digital transformation deliverables. Collaborations beyond borders Over the years, DataToBiz showcased continued growth at an accelerated pace in major tech regions of North America, Europe, the Middle East, APAC, and South Africa. With an exponential growth of 57% YOY for the last year, they now hold multiple partnerships in several arrays within the same regions. DataToBiz at its core has a solid team of experienced consultants across multiple domains along with cutting-edge technology experts, ensuring 360 degrees of business growth by providing both consultation and implementation on business intelligence, data warehousing, artificial intelligence and automation, data analytics, NLP, and offshore team augmentation, etc. Along with the business expansion over major tech hubs, DataToBiz stands as a trustworthy partner for its customers and clients over the period of 5 years. They ensure serving the existing clients with end-to-end solutions and successfully addressing the dire needs of digital transformation from their partners. Innovative offerings Apart from driving digital innovation through custom implementation, DataToBiz in-houses two live AI-based product lines including PrepAI, the most advanced AI-powered question-generation platform, and HirelakeAI, an AI-based intelligent hiring solution, along with other smart automated solutions under development. “The enthusiasm within us of completing 5 years is real, and we want to thank our clients, partners, and employees for their continuous trust and support” adds P.S Dhillon, Co-founder, and COO, DataToBiz. “We look forward to upcoming decades of driving innovation, delivering value, and making an impact with the power of data.” Originally Published on Digital Journal

Yashica Chopra
March 24, 2023
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14 Vital KPIs for Sales Analytics Dashboard: Unlock Sales Insights

Key Performance Indicators (KPIs) keep the sales team aligned and work towards a common goal to make the brand successful and profitable in the market. We’ll discuss the essential KPIs in sales and some examples to understand the need for a sales analyticsal dashboard within an enterprise. The sales team has a crucial role in bringing quality leads and increasing conversions. Every sales department has a list of KPIs to track and analyze their processes. However, setting the wrong KPIs or choosing too many (or too less) can lead to decreased revenue and loss. Statistics reveal that a whopping 81% of sales and marketing teams don’t take time to review their process. Furthermore, 65% of sales managers don’t have the necessary resources to increase sales. Another report shows that many sales leaders believe that half the people they contact are not the right audience for the product or service. In such instances, it becomes vital to understand the need for accurate and measurable key performance indicators in sales. Choosing the right KPIs in sales can help the team overcome various challenges and reach out to exact target markets. This is possible by hiring experienced business intelligence service providers to handle the process from start to finish. In this blog, we’ll read more about which KPIs to include in your sales KPI dashboards and why. Key Takeaways What are Sales Performance Metrics? Sales key performance indicators and metrics are factors that help you track and evaluate the performance of your sales team. KPIs provide a direction for the sales team to plan and implement their strategies to attract new customers and increase sales. KPI in sales can be considered a goal, target, objective, or priority. When you fix the right KPIs for your business, you will find it easy to align long-term goals with training opportunities, set up the sales pipeline (and eliminate roadblocks), maximize profits, and optimize the sales process end-to-end. The sales KPIs also help define the daily sales tactics and best practices. What is a Sales Performance Dashboard? Sales KPIs and metrics have to be measured continuously to ensure that the sales strategies are in sync with the goals. This is done by creating a dashboard using business intelligence tools like Power BI or Tableau. The data visualization application is integrated with the existing software in your business to streamline data flow. Business intelligence consultants will create and customize the sales KPI dashboard based on your organization’s niche, sales volume, target audience, goals, and KPIs. The sales team can directly access the dashboard to get real-time insights in graphical formats and make day-to-day decisions. The sales performance dashboard is an interactive tool that gives insights about leads, revenues, targets, achievements, etc., for various durations. It helps your sales teams improve performance and stay one step ahead of competitors. KPIs for Sales Analytics Dashboard Some sales teams have less than five KPIs, while some may have close to twenty. You have to determine the most effective performance indicators for your business and monitor them. It’s not uncommon for sales teams to change their KPIs if they don’t get the expected results over time. A sales analytical dashboard will make things easy and help you identify the issue in the earlier stages. Taking corrective action immediately will minimize losses and amplify ROI. So, what are the leading KPIs for sales? Check out the list below: 1. Lead Generation Percentage You need to know how many leads the sales team is generating. A lack of leads implies a lukewarm or cold performance. It can also mean that the target audiences are entirely wrong and have nothing to do with the product or service you offer. 2. Qualified Leads The next important KPI is the number of qualified leads. Not every lead generated by the team will deliver value to your business. However, if a majority of the leads don’t qualify, it indicates an issue with the sales strategy. 3. Email Open Rate This KPI is particularly important if you use an email marketing strategy to reach out to the target audience. You would want more receivers to open the emails and click on the links (action buttons) and engage with your business. 4. Lead Response Time Lead response time provides insights about whether the sales rep is following leads and sending timely updates, if the established process is delivering results, and which areas are causing friction and increasing the time taken to qualify leads. 5. Brand Mentions Brand mentions are another important KPI that helps in determining your presence on the internet. Of course, it is essential to see if the mentions are positive or negative. A higher percentage of positive brand mentions indicates that more people are discussing your products and services. This data helps in fine-tuning targeted marketing strategies for each channel. 6. Conversion Rate for Visitors to Leads The visitor-to-lead conversion rate is measured for the business website. It helps track the CRO (conversion rate optimization) of the website. This data can be used for SEO and to create effective marketing emails. 7. Competitor Pricing Your business has to constantly deal with competitors. Their pricing could affect your sales and vice versa. This KPI helps your sales team to track the competitors’ prices and justify your prices. For example, if your prices are higher than the market average, you should provide a good reason to justify the premium costs. 8. Average Conversion Time The average conversion time KPI measures the duration of converting a lead to a customer. It involves the entire lead nurturing process and the customer’s journey through the sales funnel. Lesser conversion time is a sign of an effective sales strategy. 9. Average Closed-Lost Time It is equally important to track the time taken to do away with unqualified leads. This percentage has to be low. If you take more time to lose a lead, it means that you are spending more money on something that won’t give you returns. Leads that go nowhere should be filtered in the early stages. 10. Customer Retention Customer retention is the most important KPI to measure for

Pawan Chabra
March 17, 2023
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15 Best Data Engineering Companies in 2025 – Latest Picks

Too much data, not enough clarity? These top data engineering companies are making sense of the chaos—here’s who’s leading in 2025! Businesses are generating a massive amount of data globally. According to estimates, Internet users generate about 2.5 quintillion bytes of data each day on average. It is expected that global data generation will reach 463 exabytes per day by 2025. Companies have realized the importance of data management and almost 97.2% of companies are investing in big data and AI. However, with the rise of unstructured data sources and the increasing importance of data lakes, it has become critical for businesses to rely on data engineering companies for effective storage, processing, and deriving insights from the available data. The big data and data engineering services market(Azure, AWS, Big Data, GCP) is expected to grow at a rate of 24.13% in the forecast period of 2024 to 2029. The increase in the number of interconnected devices and awareness among companies to improve the level of data management processes is making it increasingly important to select the right data engineering company. Companies need modern data engineering solutions to handle the rising amount of data being generated from various sources. A data engineering company helps design and build systems that can handle data collection, storage, and analysis at scale. Data Engineering Companies in 2025 – Top Picks DataToBiz DataToBiz specializes in simplifying complex data engineering hurdles businesses face, offering innovative big data engineering solutions for businesses of all sizes(startups, mid-sized, or large-scale organizations). From digital transformation strategies, managed analytics, data warehousing, predictive analytics, and on-project staff augmentation services, DataToBiz caters to various industries, including FinTech, ecommerce, manufacturing, retail, e-commerce, IT, and healthcare. With a notable global presence, DataToBiz works with clients in the US, UK, Middle East, India, and Australia, providing expert guidance in data engineering and analytics. Being the official partner of Google, AWS, and Microsoft, and continuously listed as a top Artificial Intelligence company over Clutch, DataToBiz helps businesses implement efficient data management systems and processes, enabling them to harness the full potential of their data assets. Hummingbird Hummingbird was started in 2015 and it today boasts offices in New York, San Francisco and Denver. A data engineering and analytics firm, Hummingbird provides customized solutions to its clients. It has experience working with startups and even Fortune 500 companies. It has worked in industries like financial services, entertainment, and retail. The data engineering team at Hummingbird follows an on-site and remote working model based on the requirements of the client. It has real-world experience in building data management solutions and deploying them at scale for a variety of its clients. Mindtree Mindtree is another global technology consulting and services firm that works in the field of data engineering. The strong global workforce of Mindtree enables several businesses to harness digital and cloud technologies to achieve business objectives. Partnered with over 275 of the world’s most pioneering companies, it brings forth extensive domain knowledge, relevant experience and expertise to deliver data engineering solutions as per the requirements of the client. Part of the Larsen & Toubro Group, Mindtree is known for providing high-quality services and consistent results. For companies looking at reimagining business models and maximizing data management capabilities with data engineering, Mindtree can prove to be the right partner. Databricks Databricks is known for providing solutions to the world’s toughest problems in the field of data management. As a leader in unified data analytics, it is a one-stop shop for data engineering and analytics requirements. With built-in data quality testing and support, the data engineering function at Databricks follows best practices for design and development. Databricks is known for orchestrating reliable production workflows and focuses on getting the maximum value from data. With simplified data ingestion and automated ETL processing, the next-gen data processing engine provides a strong foundation for performance, reliability and governance. Atos Atos is a global leader in digital and IT technologies with a presence in over 71 countries and revenue of over 11 billion euros. It is a popular name in the European market, especially in the area of cybersecurity, and cloud & performance computing. Known for providing end-to-end solutions, it can provide cutting-edge data engineering design and frameworks that can redefine the data management strategy of any organization. Atos is a SE (Societas Europaea) company that is listed on the Euronext Paris and is also a part of the CAC 40 ESG and Next 20 Paris Stock indexes. In other words, if you are looking for a global leader that has a large employee base of over 1 lakh people, Atos can be a good choice. Deloitte Deloitte is a global consulting firm that is committed to helping its clients become leaders wherever they choose to compete. Part of the Deloitte Touche Tohmatsu Limited network, it provides high-quality data analytics and engineering services to its clients. It works with a philosophy of building a stronger world with stronger clients. As a result, it brings together people from diverse backgrounds to deliver futuristic data engineering solutions and models to its clients. Deloitte has a wide global reach among several developed and developing markets. It also has a strong reach in the area of big data and artificial intelligence. For businesses looking at a global partner that is strong on the consulting side, Deloitte can be a good choice. Mphasis Mphasis, headquartered in Bangalore, India, is a well-established IT solutions provider with a significant focus on data engineering. They offer a broad spectrum of data services, including data integration, data warehousing, big data solutions, and cloud-based data engineering. Mphasis caters to a wide range of clients, from Fortune 500 companies to smaller businesses, across various industries like banking, financial services, insurance, and healthcare. They publicly list clients such as DXC Technology and have a strong presence in the financial sector. Capgemini Capgemini is another global name that is known for providing high-quality data engineering and analytics services for building an inclusive and sustainable future. Harnessing the

Shashank Dharasurkar
March 07, 2023
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Unlocking the Future: 9 Mind-Blowing AI Trends to Look Out For

Hey Alexa, “What are the top Artificial Intelligence trends this year? If you ask Alexa or Siri, you will probably hear that the most trending topics are Language modeling, Conversational AI, Computer Vision in Business, and the list. But have you noticed that your assistant is also an example of Language Modeling and Conversational AI? Yes! You are using this advanced technology in your daily life every day without even being aware of it. With the speed at which AI is disrupting industries and even our daily lives, it’s no wonder that experts are calling AI the future of technology. Let’s find out more about current AI trends and how they are affecting the world. Where Is Artificial Intelligence Used Today? Artificial Intelligence is changing the shape of the technology field. It’s now available in various sectors like transportation, manufacturing, health, and finance to automate all the possible systems to increase efficiency and performance. For instance, you can use mobile phones to diagnose diseases. The architecture provides a high-performance system with accuracy and efficiency. Another great example of AI is transportation. A system like Google Maps can analyze the traffic movement speed with accuracy. This program provides records at any time and on-the-spot road incidents. The analysis result includes construction work, heavy traffic, and even accidents. In the manufacturing industry, system maintenance with predictive and preventive mechanisms helps the management teams to avoid downtime. Also, AI systems in quality control help increase work production. The finance sector also leverages ML capability for fraud detection. AI and ML also play a vital role in the smart payment process, insurance, and investment recommendation. PrepAI is another example where AI is getting used in the education sector. PrepAI was originally developed and maintained by the DataToBiz company, which also uses the AI model for different AI services. On this platform, people like teachers or instructors can use the AI model to create various types of exam test papers. How Will Artificial Intelligence Change The World? From smartphones to chatbots, we are already using AI in our daily life. AI is evolving day by day. It observes our routine including our likes or dislikes and our purchases. Then AI specialists, or we can say AI developers, research all that data to train machines on how to learn from it and predict what we want. Following are some predictions done by the USC researchers based on their analysis. Healthcare The research analysis suggests that AI programs with computer vision will allow doctors and well-equipped hospitals to analyze data. Based on that analysis, doctors can customize health care according to individual patient’s genes. AI will be able to diagnose major diseases like brain tumors and will suggest which cancer treatment will be suitable before it worsens. Several types of research are underway to develop AI-powered applications. Those applications are aimed to help doctors diagnose and treat patients with better medical care. You can expect a different future in healthcare as it will adopt robots to interact with the patient. They will check the patient’s health condition and assess the need for a doctor’s appointment. AI will make our life simple with our clinical and healthcare history. Retail According to research, the adoption of ai-powered business intelligence in the decision-making process will make a huge impact on business growth and performance. In the future, AI-powered drones will deliver packages up to 5 pounds in less than 30 minutes. Amazon has already started working on this project with proper safety and reliability measurements for package delivery. There is no fixed date for this delivery to get on the road, but you can expect the autonomous delivery of goods with drones in the next decade. Apart from autonomous delivery, future retail with AI will get individualized with virtual racks. The racks will get customized according to previous history and purchases made by customer choice. Entertainment In the future, users will be able to order a movie that will be completely customized according to their desire. Even working independently, AI will assist humans in their own creative patterns like helping writers to avoid writer’s block by providing suggestions. Furthermore, in the present era, Artificial intelligence is still in action in the form of Google Assistant, Siri, and Cortana. They are able to handle most home devices connected to the internet over voice commands. How Big Is The Artificial Intelligence Market? The growth of AI in every possible application and its easy development dragged government interest toward it. Now the government is also taking a step ahead to invest in AI and its all related technologies. According to Verified Market Research, the global market size of artificial intelligence was worth US$51.08 Billion back in 2020. It is projected to reach up to US$641.30 billion by the year 2028 with growth at a CAGR (Compound Annual Growth Rate) of 36.1% from 2021 to 2028. Apart from that, many sectors like aerospace, healthcare, and manufacturing are adopting AI. Thanks to its in-depth learning and Artificial Neural Network (ANN) mechanism. Also, the capability of big data interpretation and analysis boosted the demand for AI industry solutions. The advanced AI development companies in cloud computing infrastructure and improved dynamic AI solutions have made the potential growth of the AI market. AI is getting used mostly to automate dangerous tasks in the manufacturing industry. Modern AI companies need people with certain skills to adopt, manage, and train AI systems. Top Artificial Intelligence Trends 1. DALL-E Earlier this year, Silicon Valley-based research lab OpenAI unveiled DALL-E, which surprised the internet. In terms of artificial intelligence, this tool is getting considered one of the most advanced systems on the market for creating images. The system works as you can create hyperrealistic photographs or artwork by typing a description. DALL-E is currently unavailable to the public. Researchers, academics, journalists, and artist testers are the only ones who can access to use this system. The company has recently announced that it will invite more people to the event. As

Yashica Chopra
March 03, 2023
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Best Business Intelligence Consulting Firms in the UK (2025 Edition)

Tired of making business calls on gut feeling? BI helps you turn data points into intelligent decisions. Here are the top Business Intelligence consulting firms in the UK to get you started. Business intelligence is the collection of tools, applications, strategies, and approaches to gather, process, and analyze data to derive insights. BI converts raw data into actionable insights that are further used to make business decisions. Many top-level executives agree that business intelligence is important for strategic decision-making. However, the adoption rate seems to be progressing slowly. A few reasons for this are the lack of infrastructure to handle advanced applications, the gap between existing and required talent, and the cost of implementing BI. That said, these challenges are easy to overcome. Leading enterprises partner with top business intelligence consulting firms instead of starting the project from scratch. This allows enterprises to work with expert BI professionals without worrying about the cost. In this blog, we’ll know more about business intelligence and will review the compiled list of business intelligence consulting firms in the UK. Is Business Intelligence in Demand in the UK? The business intelligence market in the UK is expected to grow at a CAGR (compound annual growth rate) of 9.2% by 2028. BI tools are used to help enterprises make data-driven decisions and rely on real-time insights to survive market competition. Microsoft, IBM, SAP, Oracle, and Tableau are the top five BI tools used in the United Kingdom. The UK government has signed a three-year MoU (Memorandum of Understanding) with Microsoft to revamp the internal processes in public sector organizations and move the systems to the cloud. Many UK-based businesses use BI tools in sales and marketing to increase their revenue and enhance customer satisfaction. What Are Business Intelligence Solutions? A BI solution combines technology and strategy to gather, analyze, and interpret data from multiple sources (internal and external) to provide accurate information and reports about the past, present, and future of an enterprise. Historical and real-time data is collected and analyzed to understand past trends, current market conditions, and future opportunities & threats. Descriptive and predictive analytics are a part of business intelligence solutions. Business intelligence capabilities allow organizations to: Business intelligence solutions can be adopted across different verticals in an enterprise. It helps businesses use historical and current data to understand trends and patterns. BI reports are used by HRs, finance teams, sales & marketing teams, customer service departments, top management, etc., to make day-to-day and long-term decisions. A few examples of BI solutions are: What Does a Business Intelligence Consultant Do? The role of a BI consultant changes from one organization to another. For example, BI experts from business intelligence companies offer end-to-end services to help clients adopt business intelligence tools and processes in an enterprise. They are responsible for the following: In-house BI professionals have a narrow scope of responsibilities and focus more on generating reports based on the derived insights. Top Business Intelligence Consulting Firms in the UK 1. DataToBiz DataToBiz is one of the top global business intelligence companies with clients from the UK, Canada, Australia, India, the US, and the Middle East. The company helps startups, SMBs, MSMEs, and large enterprises unlock the potential of data and use analytics for making faster, better, and more efficient decisions. The company has developed products like PrepAI, HireLakeAI, SensiblyAI, etc., to offer AI-driven customized solutions for businesses from various industries. DataToBiz has experience in offering complete solutions to enterprises belonging to EdTech, FinTech, human resources, manufacturing, supply chain & logistics, travel, healthcare, surveillance, banking & insurance, media & entertainment, hospitality, and more. It offers personalized solutions for: DataToBiz has flexible pricing and aims to help businesses reduce their cost of investment without compromising quality or productivity. The company has a team of experienced BI professionals who can handle projects of varying sizes and complexities. Innovative and out-of-the-box strategies are the highlight of DataToBiz. 2. Accenture Accenture is one of the best business intelligence consulting firms with a global presence. The company believes in accelerating change to equip businesses with the necessary tools and processes to have an edge over competitors in the market. It works with clients from banking, aerospace, automotive, travel, retail, industrial, insurance, communications, etc. The company has an ecosystem with 249 partners. It has 9000+ clients from 120 countries around the world. The company has won many awards over the years for its contribution to the industry and is at 33 among the overall Fortune World’s Most Admired companies. Accenture provides services such as: The company offers customized services but is more popular for working with large and multinational enterprises. It has premium pricing beyond the budget for small and medium-sized businesses with limited finances. 3. Cordence Worldwide Cordence is among the biggest business intelligence companies, with more than 50 offices in 22 countries. The company has 17 years of experience in offering world-class expertise to help clients create solutions and synergies required for their success. It focuses on delivering tangible results that can be measured by businesses. The company helps businesses from different industries like energy & chemicals, automotive, consumer packaged goods, public services, life sciences, travel & mobility, managed services, etc. It is a mother firm consisting of independent companies that offer an array of solutions to businesses in their respective regions. Cordence Worldwide offers the following services: The company believes in accountability to clients and emphasizes the importance of cultural aspects in understanding and business and making it successful. It has an agile consulting model that delivers the promised results to each client. North Highland member firm offers services in the UK. 4. BearingPoint BearingPoint transforms businesses for a better future. It is one of the well-known business analytics companies with European roots and a global client base. It has three major business units- consulting, capital, and products to help enterprises from 70 countries around the world. The firm has worked on 1298 projects. From offering advisory services to providing IP-driven digital assets, BearingPoint delivers measurable and sustainable results to every client. It is focused on creating

Yashica Chopra
February 22, 2023
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UK’s Best 6 Data Analytics Companies 2025: A Must-Know List

Data analytics allows a business to drive insights from large datasets and use them to make better and faster decisions. The best data consultancy service providers offer customized solutions to develop a data-driven model within the enterprise. Here’s the list of top data analytics companies in UK. Internet users produce more than 2.5 quintillion bytes of data every day. Statista predicts that global data creation will cross 180 zettabytes by 2025. The easy availability of data allows businesses to collect, store, and analyze it to derive insights. SMBs and large enterprises around the world are trying to utilize the data by investing in data-driven models. According to Allstate, 86% of the organizations that use data-driven models have experienced better results. More than 80% of businesses agree that data is crucial for effective decision-making. The UK caters to 9.6% of revenue generated by the Indian data analytical market through outsourcing services. Another report suggests that the UK and other European countries will show mid-level growth in the big data analytics market between 2020 and 2025. However, building a data-driven model in an enterprise requires expertise and access to the latest technology. Many businesses are turning to data analytics consultancies to help revamp their traditional processes and convert them into data-driven models. But what exactly is data analytics, and what are the top big data consultancies in the UK market? Let’s find out. What is Data Analytics? Data analytics is the process of analyzing large datasets to identify trends, determine patterns, and present the results in graphical formats to enable better decision-making. The core purpose of data analytics is to use data to derive meaningful and actionable insights. The insights are used to solve problems, understand market trends, and be proactive in making the most of business opportunities. Mathematics, statistics, and computer science are combined in data analytics. Business intelligence tools like Microsoft Power BI, Tableau, etc., are used to derive insights by processing large datasets. These tools also provide data visualizations by converting the insights into graphical representations. Data mining, data warehousing, data modeling, statistical analysis, etc., are a part of data analytics. Businesses need to hire a team of data analysts to work on the data-driven model and help the top management make decisions using real-time insights. However, developing the data-driven model involves other experts like data scientists, artificial intelligence engineers, and machine learning developers. Instead of hiring a team of experts, enterprises partner with data engineering consulting firms. The consultancy provides end-to-end services and takes responsibility for strategizing, planning, developing, implementing, customizing, and maintaining the client’s data-driven model. The UK market has several service providers offering big data consulting services to MSMEs, SMBs, and large enterprises. We compiled a list of the data analytics companies in the UK. Check out their profiles below. UK’s Best Data Analytics Companies 2025 1. DataToBiz DataToBiz is one of the trusted data analytics companies in the UK, offering end-to-end data engineering services to small, medium, and large-scale enterprises. The company works with clients at varying stages of data awareness and offers suitable solutions to unlock and leverage the power of data. It is a certified partner of Microsoft, Google, and AWS. Along with the UK, DataToBiz has a presence in different parts of the globe- the US, Australia, India, and the Middle East. They serve clients from several industries, ranging from EdTech to FinTech, logistics, supply chain, surveillance, retail, eCommerce, healthcare, hospitality, travel, media, entertainment, and many more. The company offers services such as: DataToBiz follows a tried and tested five-step process to help businesses achieve their goals. Aditya Birla Group, McDonald’s, ICICI Bank, GMR, TransSight, Mankind, etc., are some top clients of the company. They are also awarded numerous titles for providing accurate and advanced data engineering services in the global market. 2. Sigma Data Systems Sigma Data Systems believes in providing crucial data services to next-gen businesses. It offers data science consulting services to facilitate digital transformation through business intelligence, data analytics, and data visualization. The company has a large team of dedicated AI & ML engineers, data analysts, data scientists, software developers, etc., to offer offshore services to clients from different industries. Sigma’s mission is to help organizations draw and progress on their growth path by using the right tools and insights to make the right decisions at the right time. Sigma Data Systems offers the following services: The company works with businesses from different continents and has many clients from the UK. It also offers testing and DevOps services. 3. Unicsoft Unicsoft specializes in software development, artificial intelligence, and blockchain. It has a global team of big data consultants handling the digital transformation of various businesses from the UK, US, Europe, Australia, etc. The company works with small, medium, and large enterprises to set up data pipelines and enable the conversion of raw data to actionable insights. Unicsoft has experience in industries ranging from healthcare to Fintech, supply chain manufacturing, marketing, and automotive. It provides services for: Unicsoft works with brands like Infosoft, Whimsy Games, Cybescope, Sinofy, etc. It has ISO 9001:2015 and 27001:2013 certifications. The company is technically accredited by AWS for training and certification expertise. 4. SoluLab SoluLab offers data strategy consulting services and specializes in Metaverse, AI & ML, blockchain, IoT, and mobility solutions. It has partnered with Fortune 500 companies to provide customized solutions for digital transformation. The company has successfully worked on 1500+ projects for more than 500 clients. It has offices in four countries but works with business organizations from around the globe. The company has partner certifications from Microsoft (Silver), Roku, Vue.js, Google Developer, and Hyperledger. SoluLab offers services for: The company has won many awards over the years for being one of the top app developers in the market. DLCC blockchain solution, Versafit, Plotos, and Sportverse are some products offered by SoluLab. 5. Classic Informatics Classic Informatics offers data science consultancy in the UK and enables digital transformation through end-to-end product engineering and custom software development. It provides remote and on-demand teams to work with clients and revamp their internal systems and processes. The company works with startups, digital agencies, enterprises, and