business intelligence Archives

Parindsheel Dhillon
July 14, 2025
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Optimize Logistics with Business Intelligence in Supply Chain

Supply chain management is essential for a manufacturing business to thrive in volatile market conditions. Here, we’ll discuss the role of business intelligence in supply chain and why you should adopt BI solutions to streamline your enterprise. The supply chain is a crucial part of manufacturing, retail, and eCommerce businesses. It involves various steps, processes, and parties. It is an interconnected journey from sourcing raw materials to delivering the final products to customers. While most industries have some form of supply chain, it is prominent in manufacturing, industrial, automotive, and consumer goods etc. The changing market conditions and global scenarios have made enterprises invest in new tools and technologies to manage their supply chains effectively. Digital transformation and Industry 4.0 have put supply chain analytics at the forefront. According to IDC, 55% of G2000 OEMs will redesign their supply chains using AI by 2026. As per a report by Research Nester, the supply chain analytics market was $9.8 billion in 2024 and is predicted to reach $86.5 billion by 2037 at a CAGR (compound annual growth rate) of 18.5%. Business intelligence tools like Power BI and Tableau play a vital role in supply chain management and analytics. Many MSMEs and large enterprises are partnering with BI companies to streamline their supply chains and increase sustainability. In this blog, we’ll read in detail about the role, benefits, challenges, and tools used for business intelligence in the supply chain. What is Business Intelligence in Supply Chain Management? Business intelligence is a tech process where you collect, store, analyze, and interpret large amounts of data to derive meaningful insights and use them to make day-to-day decisions. BI can be implemented in any department and industry. It is instrumental in the supply chain for a variety of reasons. By implementing business intelligence in the supply chain, an enterprise can use data-driven insights for strategic and tactical planning in the short-term, mid-term, and long-term. Let’s take a look at this quick guide to supply chain analytics for dummies. Data Collection and Integration Data is the most vital asset of an enterprise. In today’s world, you should know how to manage your business data and use it to unlock your true potential. Business intelligence is about converting raw data into analytical insights and user-friendly reports. By using tools like Microsoft Power BI in the supply chain, you can collect data from numerous internal and external sources and use it for analytics. The collected data is stored in a central repository like a data warehouse or a data lake. It is integrated with BI tools to share the generated reports with employees. Data Analysis and Actionable Insights Advanced business intelligence tools are powered by artificial intelligence and machine learning algorithms to provide meaningful insights through predictive analytics for supply chain management. You can run different types of analytics (descriptive, predictive, prescriptive, cognitive, etc.) to get a clear picture of your business and ways to improve overall efficiency. For example, with predictive analytics insights, an enterprise can predict the future demand for a product and adjust production capacity, distribution, and sales to ensure the products are easily available in the market when the demand increases. Data Visualization Data visualization is the process of converting insights into graphical and easy-to-understand reports using interactive dashboards. These dashboards are customized for different metrics (KPIs) based on your requirements. The business intelligence company will set up the necessary connections and design visually appealing and useful dashboards for the departments in your enterprise. Employees can use the drag-and-drop features to generate reports instantly and make decisions based on data-driven insights. The visualizations can also be used to create presentations, etc. Real-Time Monitoring Business intelligence in the supply chain is also useful for real-time monitoring of various activities, tasks, and processes that ensure the production cycle and distribution are continuous. For real-time insights, the BI tools are connected to IoT (Internet of Things) devices, which collect data from equipment and workers and share it across the network. This allows factory managers and supervisors to stay alert about the sudden changes on the floor and make quick decisions to prevent accidents, reduce risk, or handle breakdowns. It is also useful to make alternative transportation and distribution arrangements to deliver the products to the sellers/ customers at the right time. Collaboration Business intelligence tools are not limited to deriving insights. These can also be used for collaboration and communication. For example, different parties of the supply chain – vendors, enterprise, logistics providers, warehouse managers, distributors, marketing teams, retailers, etc., can access the dashboards to use the insights for planning their stages of the process, send messages and updates to others, and coordinate easily with them. Instead of using independent data silos in each department (which usually have outdated information), they can rely on the central repository to access the latest data. It prevents confusion and streamlines the processes. Customer Satisfaction Supply chain analytics and modeling is also about end users, aka, customers. After all, the products have to reach them on time, offer good quality, and create an enriching experience. Business intelligence can use supply chain and customer data to find ways to improve customer satisfaction with your enterprise. For example, the insights may show that customers want the products to reach them quickly. You can use the reports to identify where delays occur and find a solution to resolve the issue. Similarly, you can change your vendors and work with environment-friendly suppliers to create a more sustainable supply chain. Greater Transparency With business intelligence, you can increase the visibility and transparency of your supply chain. That’s because the analytics provide a real-time and holistic view of the supply chain and its various components. You can get an overview as well as in-depth insights about each stage. At every given point in time, employees can track where the product is and what the subsequent stages are. This information can also be shared with customers. Apart from actively addressing issues and increasing performance, manufacturers can use business

Parindsheel Dhillon
May 12, 2025
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How to Make Your BI Dashboard Actionable – 8 Insider Tips

BI helps examine large datasets to understand trends, patterns, and correlations. It is useful in deriving accurate insights for various requirements. Here, we’ll discuss the top tips for creating tailored, actionable BI dashboards for data-driven decision-making. Business intelligence (BI) is a set of tools, technologies, and processes used to collect, clean, and convert raw data into actionable insights. The insights are used to develop business strategies, streamline operations, optimize resources, enhance customer service, and increase profits. The analytics derived by BI help a business unlock its full potential and gain a competitive edge in the global market. Statistics show that the BI market is estimated to increase by $18.56 billion at a CAGR (compound annual growth rate) of 10.7% between 2024 and 2029. It can be used in any industry and by a business of any size or volume. BI tools like Power BI can be hosted on-premises and on cloud platforms. They can be integrated with data sources, repositories like data warehouses and data lakes, and other third-party software. The dashboards that provide data visualization reports are the core of the Power BI adoption process. These dashboards enable users (employees, management, stakeholders, etc.) to access data in real-time, derive insights, generate reports, and collaborate with others from the same interface. However, for this to happen seamlessly across the enterprise, the dashboards have to be actionable and optimized. In this blog, we’ll share insider tips to make your Business Intelligence dashboards actionable and achieve the expected results from your Power BI journey. What Makes a BI Dashboard Actionable? Actionable BI dashboards are user-centric and provide clear insights relevant to each user/ employee’s job. Business intelligence dashboards can be built using tools like Microsoft Power BI, Tableau, etc. Power BI is among the top three dashboards used by organizations from different industries and regions. It can be personalized to create interactive dashboards that generate meaningful reports for employees in just a few clicks. While many enterprises use business intelligence, not everyone achieves the desired results. That’s because the dashboards have to be optimized to deliver actionable insights, preferably, in real-time. So what makes a dashboard actionable and efficient? It is an improved BI dashboard that focuses on finding solutions to the following questions: In short, an actionable dashboard is fully aligned with the business vision and objectives while providing customized and interactive solutions to employees who use it for daily activities. Integrating the dashboard directly into the workflow also makes it actionable, though the delivered insights have to be useful, meaningful, up-to-date, and accurate for employees to make data-driven decisions. Though the initial setup is a one-time process, BI dashboard best practices have to be monitored continuously to ensure the process is in sync with your organizational requirements. That’s why most businesses partner with Power BI service providers for integration and maintenance services. Insider Tips to Make BI Dashboards Actionable A well-designed dashboard is useful in tracking business intelligence KPIs, generating data visualizations, and sharing the latest insights with team members, stakeholders, and others. However, creating this dashboard requires technical expertise, planning, and a clear understanding of what your business wants. Clear Purpose and Objectives Be clear about the purpose of creating BI dashboards. Also, understand the difference between a dashboard and a report. A business intelligence dashboard provides a real-time view of critical metrics and KPIs. It allows you to interact with the interface by adjusting the filters or changing the visuals as required. This enables quick and real-time decision-making. A BI report is a document with in-depth analysis of a given situation that often uses historical context and helps identify trends, patterns, etc. It is generated as per a pre-determined schedule or whenever necessary and used for auditing, compliance, and more. Start by defining the exact purpose of building actionable BI dashboards. What do you want to track, monitor, or measure? What are the benchmarks against which you will measure your performance? What do you intend to achieve and by when? What are your goals and objectives for the short-term and long-term? Best Practices: Keep it Simple Power BI dashboard reports and interfaces should not be cluttered or filled with countless visuals. Packing too much information is easy, but it can be overwhelming for users and counterproductive when they have to make data-driven decisions. Cluttered dashboards make it hard to collaborate and communicate with others, as they can increase confusion or misunderstandings. At the same time, a simple dashboard doesn’t have to be static, boring, or unappealing. Achieve the right balance between simplicity and efficiency. Best Practices: Understand BI Dashboards Dashboard insights can be actionable when you understand what the interface can deliver and how the insights can be used. For example, strategic dashboards are used by C-level executives, analytical dashboards by most employees in the enterprise, tactical dashboards by mid-level managers, and operational dashboards by department heads or team leaders for highly specific data. Each of them serves a different purpose aligned with what the user wants. Best Practices: Choose the Best Visualizations Data visualizations come in various types. There are several varieties of charts, graphs, diagrams, maps, etc., like line charts, pie charts, bar graphs, tree graphs, heat maps, and many more. However, not every visual is suitable for every type of data or insight. Similarly, a single type of visualization cannot be used for every purpose or requirement. For example, a pie chart shows the % ratios between different elements, while a line chart can be used to compare the progress of the elements across a timeline or a measurement. The idea behind using visualization instead of text is to present more information in a simpler format. Best Practices: Web-Based Data Sharing In today’s world, data and insights should be accessible at the fingertips, no matter where your employees are. No doubt, Power BI Desktop is useful when working on-premises. However, the web version can be used on most devices and from any location as long as there’s an internet connection. Power BI Mobile works

Yashica Chopra
April 01, 2025
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Top 11 Power BI Companies Transforming Real Estate Analytics

Microsoft Power BI is an efficient tool to collect and analyze data and convert it into meaningful insights. Here, we’ll discuss the top eleven Power BI companies in real estate and the role of business intelligence in implementing the data-driven decision-making model. The real estate industry is volatile and constantly changing. Several factors like demographics, politics, income, inflation, etc., influence the industry. While real estate agents have been using personal experience and instinct to predict market trends and recommend properties, many firms are now investing in advanced technology like AI, ML, business intelligence, and data analytics to analyze historical and current data and make data-driven decisions. For example, statistics show that AI in the real estate market is expected to reach $1083.45 billion by 2030 at a CAGR (compound annual growth rate) of 35%. Since data analytics and business intelligence are important to revolutionize the real estate industry, several firms have adopted tools like Microsoft Power BI, Tableau, etc., to convert raw data into actionable insights and generate reports in real time. Power BI is a popular business intelligence platform that can be connected to multiple data sources and can generate graphical and interactive data visualization reports through the interface. A real estate agency can vastly benefit from using Power BI to streamline its data and derive real-time analytics to make effective decisions. A cost-effective way to adopt Power BI is to hire a service provider. So, what are the top Power BI companies specializing in real estate? Let’s find out in this blog! How Does Power BI Help Real Estate Businesses? The use of Power BI for real estate analytics makes it easier for brokers to get quick insights about market conditions, assess the value of a property, or help customers find the right property that meets their budget requirements and aligns with their other preferences. Power BI can help a real estate firm in many ways. The dashboards can be customized for each KPI (key performance indicator) and metric to give agents more control over the process and assist them in closing leads quickly. So, how do Power BI solutions improve property investment decisions? Here’s how: With Power BI, brokers can analyze the various conditions, compare current data with historical data, predict future trends, analyze competitors, and determine which locations are the best for attracting more buyers. Rental rates, the cost of fixing and selling, average property value, etc., can be determined and predicted based on various factors. Managing properties is also a part of the real estate activities. Tracking occupancy rates, monitoring the costs of maintenance, managing lease and rental agreements, etc., can be streamlined using business intelligence tools like Power BI. Firms can reduce the risk of complications by leasing the properties to reliable customers after analyzing their data. Every real estate business has targets to achieve to stay in the business. While there are traditional methods to track sales and marketing efforts, relying on technology will give faster and more accurate results. The agents can also understand why they couldn’t achieve the target or where things went wrong and find ways to rectify the problem. Power BI companies in real estate also help firms track their financial performance by measuring the expenses and revenue, determining the ROI, and so on. It can also help with budgeting, forecasting expenses and revenue, providing detailed investment analysis for customers, and helping them make financially sound decisions. Understanding customers and maintaining good relationships with them is a must for a business to be successful in real estate. Getting feedback from customers, using their inputs to suggest the right properties, and monitoring their interactions with agents will go a long way in establishing the firm as a reliable and customer-friendly real estate agency. Managing a real estate firm is not an easy task. It is a highly competitive sector where agents constantly compete to close a lead before others while ensuring customer satisfaction. With Power BI to derive insights, agents can identify the bottlenecks in their processes, measure the success of a marketing campaign, allocate resources based on returns generated, and so on. Another important use of real estate analytics solutions is to measure the performance of an agent. Is the broker efficient in identifying properties? Is the agent reaching the monthly/ quarterly targets? What do customers say about the agent? Answers to such questions can be accurately determined by analyzing the agent’s data using Power BI. Another important part of the industry is legal compliance. Every region has different laws and requirements a customer has to comply with when buying, selling, or renting a property. Agents can ensure regulatory compliance and reduce risks by using the insights derived through Power BI. If the analytics highlight a customer or property as high risk, the agents can find ways to minimize complications. 11 Top Power BI Companies in Real Estate DataToBiz DataToBiz is one of the leading Power BI companies in real estate and an end-to-end digital transformation service provider. The award-winning company has a presence in many continents and helps local businesses revamp their processes and adopt advanced technologies to achieve their goals. The company is a certified Gold partner of Microsoft and a certified partner of AWS and Google. Its cloud migration and transformation services are tailored for each client. The company works with small, medium, and large real estate firms to empower their data-driven decision-making models by unlocking the true potential of business data. DataToBiz has a team of experienced Power BI experts who create personalized dashboards, set up third-party integrations, and provide long-term support services. Businesses can use Power BI on-premises, via cloud, or on smartphones to derive real-time insights on the go for cost-effective pricing. The company’s real estate data visualization reports are user-friendly, interactive, and accurate. Global Data 365 Global Data 365 is a leading business intelligence company offering innovative Power BI solutions for businesses to transform their data into insights. With clients from over twenty-five countries, the company specializes in offering tailored

Yashica Chopra
December 20, 2022
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Top 10 Power BI Consulting Providers in 2025 – Expert Partners

Implementing Power BI in 2025 requires technical expertise to complete the integrations and customize dashboards for each department or stakeholder’s accessibility. We’ll discuss the top Power BI Consulting Providers offering these crucial services on a global level. Business intelligence is the process of using strategies and technologies to analyze data and derive actionable insights. It is a broad term that encompasses data collection, cleaning, formatting, analyzing, and visualization. The derived insights are presented to the end user in a graphical report. The report is used to make better decisions based on data rather than guesswork. Statistics show that self-servicing BI is vital for 60% of R&D requirements in an organization. Data visualization, data quality management, and self-service BI are the top three business intelligence trends in the market. The global BI market is estimated to touch $33.3 billion in 2025. With more businesses adopting BI and decision intelligence, it has become important to choose the right consulting partner to set up the tools and streamline analytics. But which tool and service provider to choose for your organization? Microsoft Power BI is among the top business intelligence tools in the international market. Power BI is a user-friendly interface that converts raw data into actionable insights and provides data visualizations in real-time. Many industries use Power BI in different verticals to make data-driven decisions. Microsoft Power BI consultants are in high demand as enterprises find it easy to hire an expert to implement the tool and integrate it with their existing systems. Power BI is available in three versions- Organizations use Power BI service to streamline data flow. Power BI experts understand the business processes and customize the dashboards for different departments. The list is curated and compiled keeping into account the services offered, operations, and critical industries. Let’s look at the top Power BI consulting firms that cater to businesses from various niches and offer customized services. Top Power BI Consulting Providers – Expert Partners in 2025 1. DataToBiz DataToBiz is a leading data analytics and Power BI consulting provider based in India. The company offers tailor-made Microsoft Power BI consulting services to SMBs, SMEs, and large enterprises. It has clients from several industries, such as manufacturing, information technology, banking and finance, transportation, security & surveillance, eCommerce, logistics, telecommunication, EdTech, hospitality, travel, healthcare, and more. It provides additional services like: DataToBiz works with organizations from different parts of the world, like the US, the Middle East, the UK, and Australia. The company’s data strategy and Power BI services in the UK are aimed to interconnect data and derive insights in real-time using embedded analytics. It has partnered with businesses in Australia to provide scalable and flexible data strategy consulting services to increase the efficiency of HR, R&D, finance, sales, and marketing departments. 2. PixelCrayons PixelCrayons is a Power BI consulting company with clients from countries different continents. The company has ISO 9001:2008 certification and provides data engineering services to a range of businesses. It is an Indian SaaS company that offers digital transformation, software engineering, and staff augmentation services to global enterprises. It deals with: Banking, logistics, IT, healthcare, eCommerce, travel, retail, and eLearning are some industries the company works with. PixelCrayons has more than 500 employees, including Power BI consultants. It was founded in 2008 and is among the well-known outsourcing companies in the market. 3. Binary Republik Binary Republik is an enterprise content management company that offers Power BI development services, along with the expertise to implement SharePoint, Office 365, and Dynamics 365. The company specializes in providing industry-best Microsoft services to manage data storage and flow within the enterprise. It has built its services around Microsoft’s offerings to help businesses integrate and customize the tools to suit their requirements. The company provides other services, such as: Binary Republik is known for working with a plethora of data sources. It creates an interactive Power BI setup for the clients to help them use data analytics and visualizations for decision-making. The company implements Power BI integration based on end-users (employees’) needs. It has clients from different industries like healthcare, agriculture, finance, pharma, manufacturing, logistics, nonprofit, and more. 4. ValueCoders ValueCoders offers software development, machine learning, and Power BI consulting services to businesses from around the globe. The company has more than 650 employees working on various projects. It is an IT outsourcing company with ISO 9001: 2015 and CMMI Level 3 certification. The teams work with SMEs, startups, and enterprises to provide a range of IT services. The company deals with: ValueCoders provides BI consultants on hire for the short term and long term. It has experience in several industries like healthcare, eCommerce, automotive, FinTech, education, logistics, media, etc. This Indian company has worked with businesses from 38+ countries, some of which belong to the Fortune 500 list. 5. Netguru Netguru is one of the fastest-growing digital consulting companies in the EU. It offers custom Power BI implementation services and builds digital products that help organizations gain a competitive edge in the global market. FinTech, retail, education, and healthcare are the main industries the company works with. It provides the following services: From ideation to evaluation, development, and management, Netguru promises end-to-end services to all its clients. The company aims to help businesses build new software that would help them achieve their goals using cutting-edge technologies. It is a certified B Corporation company that believes in inclusivity, diversity, and sustainability. 6. Phocas Software Phocas Software is a self-funded team of professionals who offer business planning and analytical services to a variety of organizations. It provides Microsoft Power BI consulting services to midmarket and enterprise customers from industries, like manufacturing, automotive, industrial, retail and wholesale, etc. It offers: Customized BI analytics and reporting are the primary services offered by Phocas Software. The company guarantees a 300% increase in reporting speed and a 40% decrease in administration costs. It helps manage data by simplifying the ERP systems and creating data visualizations to help managers easily understand the reports. The award-winning company is B Corporation certified and has an overall score of 82.4. 7. Ammaiya Ammaiya is a Power BI consulting firm that offers web development, digital marketing, CRM,

Parindsheel Dhillon
February 07, 2020
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Data Warehousing for Business Intelligence: Full Guide

Some would say data’s value is like that of petroleum or water, but in actuality, data is much more precious than water or petroleum because these are depleting or depreciating assets; on the contrary, data will be an appreciating resource continuously adding to its value in the near future. So, if the tech pundits and think tanks from the IT domain say that Big Data is going to get bigger and better with time, they surely have a reason to put up such a bold statement. Those premonitions or rumors that you have heard that data warehousing is going to be dead must kiss the dust as such is not what is going to happen even 30 to 40 years down the line. But just statements don’t make people believe in the larger scheme of things, so you need to read further to know whether DW-a-a-S or Data Warehousing-As-a-Service will see some bright days ahead or it will just settle for no good at all. Future of Data Warehousing for Business Intelligence Data warehousing will turn redundant when the old BI or Business Intelligence techniques cannot easily create valuable queries for a large pool of data, but the pressing question is that is it even possible. Numerous use cases when referred to do not give up a concrete viable solution using the old BI technique. To further demonstrate this claim, we need to look at one of the cases that happened with an employee who joined a Tier 1 Investment Bank in London as a Data Warehouse Architect. His job was to process the Query on a multi-terabyte Oracle Warehouse system querying micro-batch data loading and the end-user performance. But doing this using the old BI systems made life tough. Let’s look at the challenges he faced while using the old BI techniques. Key Challenges Querying Large Chunks of Data Using Old Business Intelligence Dashboard Maximizing Query Performance Data miners or analysts need a solution that can minimize the latency and maximize the query per second. With the old BI systems, the end-user query performance does not perform maximum outcomes. As a result, the analytical query demands have been turning high and unaccounted for. Maximization of Throughput ETL or Extraction of Data must be done in a faster and much more rigorous manner. Such a demand would maximize and utilize the complete potential of the machine. All these things would require high maintenance of the CPU and faster technology solution that can instantly capture queries and deliver efficient query optimization plans. It is quite unlike for an old BI system to perform up to the true potential of the requirement. Hence, the need for a much more scalable and agile data analytics system arises that can instantly resolve this problem. Maximum Utilization of Machine When you have to analyze and process a large chunk of data, it should begin with analyzing and processing 100% of the CPU capacity. The old BI systems do fail to utilize 100% of the machine performance. But the new systems are equipped to utilize the machine at its full potential. Therefore, you tend to get the full volume or true potential of the machine. ETL Process The old BI systems completely overrun the true potential of the machine. When the machines are forced to perform beyond their processing levels, they either give botched or inefficient results or at times, they completely heat up and fail to deliver any results at all. At such times, the need for a fully functional data warehousing architecture is required that can cope with the existing tech infrastructure and deliver the results that are expected of it. How to Overcome These Challenges? When experts and IT think tanks raise questions on the existence and sustainability of DWaaS (Data Warehousing as a Service) or Data Warehousing in the near future, here are a few key arguments to support that it will go strong without any signs of giving up anytime soon. As the Business Intelligence is transcending with an advanced time loop for managing key data analytics, the need for agile and advanced warehousing solutions has been felt more than ever. DWaaS or maintaining a Data warehousing architecture is so essential and it will remain that way 10 to 20 years down the line because; Agility is The Future Trend Agility will be the new language that most enterprises would love to speak in the upcoming feature and DW-a-a-S will empower businesses by helping them take a collaborative approach to problem-solving. With advanced DWaaS solutions, enterprises need not have to maintain separate departments, teams and setups for data mining and analysis. When the new data warehousing architecture will help adopt a new model that helps in cross functioning of different teams to support the continuous evolution and improvement, enterprises can better deal with data extraction in a much more fascinated and smart manner. The Dawn of Cloud Systems The needs of the enterprises will change from MYOS or Maintain-Your-Own-Server to cloud-based movement or shift. Cloud-based DW-a-a-S improve the sources from where the data can be gathered and analyzed for future business intelligence. There will be fewer chances of data duplicity when massive data movement is involved using the DWaaS. These trends completely paint a rosy picture of DWaaS as the game-changer in the near future when enterprises and businesses are in need of the right BI dashboard that can perform multiple business operations. Do We Still Need Data Warehouse? One question many people in the industry ask is where we still need a data warehouse. Is it relevant in today’s world? The short answer is yes. Though data warehouses are becoming older models, and some enterprises are replacing them with data lakes, the data warehouse is still a part of the business intelligence infrastructure. There are many reasons for this: Data warehouses can integrate data from multiple sources. A data lake can store them in one place but not integrate structured, unstructured, and semi-structured data the way a data warehouse