Business Intelligence

How Large Language Models Aid Your Business Intelligence Investments?

It is time to automate your BI systems and make them more accessible to non-technical users across the organization. Here, we’ll discuss how large language models (LLMs) can aid your business intelligence (BI) investments and increase ROI. Business intelligence helps enterprises transform their raw data into actionable insights through a series of tools, technologies, strategies, and processes. It helps employees and executives make data-driven decisions and gain a competitive edge. According to Business Research Insights, the global BI market is $30.72 billion in 2025 and expected to reach $50.66 billion by 2034 at a CAGR (compound annual growth rate) of 5.72%. More statistics show that 67% of organizations will have adopted business intelligence by 2025, while 91% of enterprises have plans to increase their BI investments. These reports clearly indicate that business intelligence is becoming a part of most organizations. Now, traditional BI includes various manual processes that are time-consuming and stressful. Data analysts and BI experts must provide insights requested by employees from across the organization, handling all the necessary work. However, thanks to artificial intelligence, you can automate and streamline various BI processes to save time and increase efficiency. For example, using LLMs for Power BI can empower the platform and your employees to deliver better outcomes. In this blog, we’ll read about how large language models (LLMs) can be integrated with your BI systems and what benefits you can achieve from this integration. What are Large Language Models (LLMs)? Large language models (LLMs) are a type of AI and ML program that are trained on large datasets to recognize and generate text based on user input. The LLMs use a type of machine learning called deep learning to understand unstructured data (words, text, characters, sentences, etc.) and recognize patterns, distinctions, etc., without human intervention. The models are further trained and fine-tuned to suit the specific requirements of different businesses. This is done by training the LLMs on proprietary data to ensure the results are more relevant, accurate, and aligned with the outcomes you want. Typically, large language model development is done for various reasons or tasks. You can hire an LLM development company to build, deploy, customize, and integrate the model as per your requirements. Some use cases of LLMs are as follows: GPT-3, GPT-4, BERT, LLaMA, etc., are some examples of large language models. GenerativeAI vs. LLMs Though the terms generative AI and LLMs are used in similar contexts and even interchangeably at times, they are not the same. As the name suggests, generative AI generates content (text, audio, video, images, etc.). LLMs are limited to the text generation process of GenAI model development, though here ‘text’ can also include programming code, biological sequences, etc. Simply put, LLMs are a type of generative AI, but not every genAI model is an LLM. From BI to AI: Using LLMs in Business Intelligence LLMs have diverse use cases already, depending on how you want to integrate them into your existing systems. Empowering business intelligence is one of the important applications of large language models in today’s world, where data and insights play a crucial role in business growth and expansion. LLM consulting companies offer tailored solutions to fine-tune the models with business data and integrate them with your existing BI platforms like Power BI. This makes the BI platform more powerful, scalable, and flexible. It provides insights quickly and reduces technical complexity for the end users. For example, using an AI chatbot in BI (Power BI has an AI chatbot capability through its Copilot integration) changes how employees interact with the platform. Instead of sending queries in SQL and using highly technical processes, employees can input their queries in English or other human languages. LLM integration enables the BI platform to read and understand the input, providing relevant insights. Even the insights can be simplified and summarized for employees to easily grasp the key points and make a decision quickly. Similarly, there are many applications of large language models (LLMs) in business intelligence development. Application of LLM in BI Development LLMs nowadays have a vital role in an organization’s Power BI journey. They can offer robust data analytics, business intelligence, and reporting capabilities, which can be refined for greater accuracy and relevance as you continue to use the systems for data-driven decision-making. LLMs can be used in BI development in the following ways: Sentiment and Customer Behavior Analysis Customer behavior and feedback are critical for any business to ensure that its products and services are aligned with the market demands. Traditionally, enterprises used manual interpretation methods, which had a greater risk of error or misunderstanding. However, with large language model consulting for business intelligence, you can not only automate processes to save time but also minimize human error. This allows you to make swift decisions and keep your customers happy and satisfied with your offerings. Data Preparation and Modeling Large language models are good at data preparation and modelling, especially when dealing with massive datasets. Since both these steps are crucial in the business intelligence process, they can be streamlined and automated to optimize resources, save time, and reduce workload on employees. Moreover, LLMs are trained to study datasets to identify patterns, trends, and correlations that humans may not see immediately due to the extensive range of data that has to be analyzed. This makes it easier to identify variables, trace relationships, etc. Interactive and Conversational BI Business intelligence tools like Power BI have interactive dashboards that create graphical data visualizations in real-time. However, understanding complex reports requires technical knowledge. Enabling Power BI dashboard integration with LLM-powered chatbots bridges the gap. You can convert the dashboard into a conversational interface where the chatbot summarizes or simplifies the reports for non-technical users. This reduces the risk of misinterpretation and makes BI reports accessible to more employees across the organization. The chatbots are trained to understand the context and semantics when providing information to the users. Scaling Insights Seamlessly Businesses don’t have the same needs throughout. As your transactions

Business Intelligence Approaches to Microsoft Fabric Cost Optimization

Microsoft Fabric is a powerful end-to-end analytics platform and a unified interface for real-time reporting. It is best suited for large businesses with extensive datasets. Here, we’ll discuss the different business intelligence approaches to Fabric cost optimization. In today’s tech-based world, there’s a platform, a suite of solutions, or a software package for just about every requirement. Businesses can utilize the tools as needed, although it is essential to understand which ones to select, how to integrate them into existing systems for enhanced efficiency, and how to optimize costs to minimize overhead. After all, you cannot keep paying several dollars every month to access hundreds of tools only to use a handful of them when necessary. But how do you optimize the costs of using a software product or a service? One way is through business intelligence. Business intelligence is a set of processes and technologies that collect and analyse data to provide meaningful insights. By using BI cost optimization processes, you can accurately identify where and how to save costs without compromising efficiency. Can the same be done for Fabric cost optimization? Is it possible to optimize the costs spent on Microsoft Fabric? Yes, absolutely! In fact, you can use Microsoft Power BI to derive business intelligence reports for optimizing Fabric costs. That’s because Power BI is one of the leading BI tools in the market and is used by 97% of Fortune 500 firms. Let’s find out more in this blog. What is Microsoft Fabric? Microsoft Fabric is an end-to-end analytics platform offered as a SaaS (software as a service) solution for large-scale enterprises. It unifies various processes, such as data movement, data processing, data ingestion, and data transformation, as well as routing events in real-time and building reports for end users. It comes with AI capabilities for automation and real-time insights. Transforming raw data into insights is even simpler with Fabric. Being a Microsoft product, it can be integrated with several other tools and technologies within its large ecosystem and with third-party vendors’ offerings. Compared to other platforms, Microsoft Fabric offers more functionalities, is more powerful, and can support more integrations. This also means it comes at a price. Does that mean you have to spend a lot of money on it? Not if you make Fabric cost optimization a priority. Optimization is not optional. It is mandatory and a continuous process requiring expertise, skills, and knowledge to keep the infrastructure efficient, agile, flexible, scalable, and within your budget. All you have to do is partner with a certified BI company to set up the system and optimize it to reduce the costs. BI Approaches to Optimize Costs in Microsoft Fabric analytics platform is a combination of numerous tools and technologies, such as data warehousing, data science, data engineering, data factory, business intelligence, and Power BI. You may wonder how then can Power BI be used to optimize its cost. That’s because it is a great business intelligence and data visualization tool whose core functionality is to analyze data and create interactive reports. Hence, you use it to analyse the data and patterns of Fabric to derive dynamic insights and identify areas for effective Microsoft Fabric cost optimization. Moreover, Fabric has been developed for large-scale use, which makes it vital to optimize the setup. Otherwise, you could end up spending a lot more than necessary without earning the expected ROI. Here are a few important approaches to managing Fabric costs in your enterprise. Business Intelligence Approaches to MS Fabric Cost Optimization. Scaling Resources Strategically Microsoft Fabric has many elements that require computational power. That’s how each tool, platform, application, or framework runs. The more such elements you use regularly, the more capacity and resources you need to maintain the infrastructure. This leads to high costs over time. With Power BI consulting services, you can identify which of these elements are actually necessary for your operations and how to run them effectively. For example, virtual clusters are great for parallel workloads. But if you don’t monitor them, you will spend than expected! Analysing Workload Patterns The workload on your infrastructure is not the same 24*7. Some hours might see an extra load, while the systems might be idle for some durations. With business intelligence, you can study the workload patterns to analyse these trends and get a clear idea of the situation. Then, you can adjust the processes and schedule some during freer hours or automate scaling when demands increase. Moreover, scaling can be done in two ways: vertical scaling or upgrading gives more power, which is suited for predictable workloads, and horizontal scaling or adding instances, which is better for distributed tasks. Both are equally beneficial when you make the right choice. Choosing Between Spot and Reserved Instances BI cost optimization analysis helps choose between spot instances and reserved instances to complete the tasks successfully. Typically, spot instances are better suited for batch-wise jobs or tasks that have interruptions. Since they provide high savings, you can use spot instances for such jobs. These can include testing environments and development activities. Reserved instances are for those tasks that cannot be interrupted or divided into batches. If you opt for long-term usage in the billing, you can get good discounts on reserved instances and run stable workloads. Most businesses use a combination of both for optimized results. Storage Space You may not immediately notice storage costs piling up, but they do and can hurt your finances. Clean up the storage space regularly by sorting data into different categories, sending important stuff to backup centers, etc. For effective cloud cost optimization, divide data into segments like hot, cool, and archive. Any data that hasn’t been used in the last 90 days can be moved into the archive. Data used daily or more than twice a week can be segmented as hot data. While hot data should be easily accessible, archive data doesn’t have to be. Additionally, clean up old and unused data assets and duplicate data pipelines. Automate Cost Management With

11 Signs Your Business Is Ready for a Power BI Overhaul

A slow and inaccurate Power BI environment can cost your business time, money, and a lack of trustworthy data. This guide walks you through clear signs that it’s time for a Power BI overhaul, from dashboard delays to poor scalability. You’ll also learn practical steps to fix these issues without losing your existing reports or data connections. “Without analytics, companies are blind and deaf, wandering out onto the Web like deer on a freeway.” – Geoffrey Moore. Power BI is the top analytics platform in 2025 and is used by every Power BI company that delivers data-driven insights. It’s used by 97% of Fortune 500 companies. It holds over 30% of the BI market, and serves 30+ million monthly users worldwide. In April 2025 alone, its website had 11.63 million visits, which serves as evidence of its wide adoption and strong customer loyalty. These numbers indicate why staying ahead with Power BI is critical. If your dashboards take too long to load or your reports aren’t helping to make decisions, it’s time to audit your setup. Many businesses face the same struggle: too much data, slow dashboards, and reports that don’t bring change. With the help of global Power BI consulting experts, companies are leveraging features such as Copilot AI, real-time integrations, and enhanced governance tools, making outdated setups ineffective. In this guide, we’ll show you warning signs that your data systems need a major Power BI overhaul, along with steps to transform them into a reliable growth driver. Signs Your Business Needs a Power BI Overhaul If you notice one or two issues, a quick fix can help. However, as more issues arise, plan a comprehensive review to determine how each issue affects report accuracy and decision-making. Slow reports and Refreshes If your Power BI dashboards take time to load and data refreshes fail frequently, it’s a red flag. This means models or data volumes have outgrown your system. For example, if getting a routine report takes longer than a few minutes, you’ll fall behind. What to do: Manual data work If your teams are spending hours copying and pasting data from Excel just to update Power BI dashboards, it indicates something is wrong with Power BI optimization. Manually pulling data is time-consuming and error-prone, and it makes your Power BI dashboards slow. What to do: Outdated Data If different departments show different numbers for the same metric, that’s a sign that something is broken. Having multiple versions of the truth can lead to wrong decisions because teams use different sources of data. For example, one marketing group might use a CSV while sales uses a cloud service, leading to disparity in numbers and driving confusion. What to do: Data and dashboard sprawl Is your Power BI dashboard cluttered with workspaces and dashboards that look almost the same? If yes, you need to declutter them. Having different numbers, reports, and datasets causes confusion and impacts Power BI performance. What to do: Poor governance and data security Lack of governance and security protocols can expose your business to risk. If you don’t know who has access to which data, or if sensitive fields are left unprotected, it could lead to security breaches. Review permissions and access to ensure sensitive data isn’t exposed unintentionally. What to do: Dependency on key-person Do you have only one person in your team who understands your reports or data model? What if that person leaves? You may lose all important knowledge and insights. What to do: Rigid dashboards Inflexible dashboards are another problem. If users complain they can’t change what they see, your Power BI reporting is outdated. Modern Power BI allows users to extract and interpret data in their own views. It’s important to have customizable dashboards that allow users to view and manage data as per their needs. What to do: Only reactive insights If your reports only show what happened yesterday or last quarter, you need a Power BI overhaul. Excellent Power BI dashboards should help you act before problems escalate. Data analytics should trigger alerts, share predictive insights, and notify of anomalies or opportunities. What to do: Scope creep and misalignment Do your Power BI projects deal with ever-changing requirements? If stakeholders constantly request new features or pivot goals, it becomes hard to keep projects on track. This scope creep often leads to missed deadlines and budget overflow. Without clear priorities and agreement up front, Power BI developers end up reworking dashboards, wasting time and effort. What to do: Outdated data models If your Power BI datasets are poorly structured, it results in performance and trust issues. For instance, ignoring good modeling practices can cause bottlenecks in scalability, governance, and data integrity. Large flat tables or full database schemas in Power BI make analytics slow and confusing. What to do: Low adoption and shadow IT If people skip your Power BI dashboards and go back to Excel, they are not open to change. When leaders feel the BI team can’t deliver fast enough, departments start creating their own reports. This DIY approach to analytics results in scattered data sources, mismatched numbers, and wasted effort. If you don’t fix these issues, people won’t rely on Power BI for decisions. You’ll be stuck with scattered, unconnected reports forever. What to do: Scalable Tech Stack for CTOs A scalable data infrastructure is a layered ecosystem. Below, we’ve described tools and technologies you can use as your tech stack for building scalable data pipelines for AI. Ingestion & integration Brings data from apps, IoT, and third parties into your system without bottlenecks. Storage & management Keeps raw and processed data in scalable, secure storage that grows with your business. Processing & transformation Turns raw data into structured, analytics-ready formats at scale. Serving & analytics Pushes insights to dashboards, apps, or APIs so teams can act in real time. Governance & observability Tracks lineage, ensures quality, and enforces security to maintain data reliability. Cloud & infrastructure Your infrastructure should scale on demand, stay resilient under

Power BI Governance: Secure Data Framework for a Smarter Future

If you are scaling Power BI environments across teams, Power BI governance and deployment approaches play a critical role. Without it, systems can get trapped in security gaps and costly data breaches. However, by following a structured governance plan before expanding, you’ll be able to scale Power BI to protect data and ensure reliable reporting. “If you want people to make the right decisions with data, you have to get in their head in a way they understand”, said Miro Kazakoff, Senior Lecturer, MIT Sloan. But before anyone can make smart decisions, we must protect the data they rely on. Here’s why governance in Power BI is so important. In 2023, there were 7.6 trillion intrusion attempts, up 20% from 2022. Of these, 11.3 billion were malicious, meaning they aimed to cause harm or steal data, 6% more than in 2022. While not every attempt targeted Power BI directly, these numbers show the sheer scale of threats connected systems face. In Power BI environments, users publish, share, and export sensitive reports. One weak link, such as an unprotected workspace, a wrongly shared link, or missing access controls, can allow attackers in. That’s why strong governance isn’t just a compliance checkbox. It keeps your data safe while you scale reporting across teams. In this blog, we’ll talk about Power BI governance and all that you need to do to implement governance protocols to safeguard your Power BI governance dashboards. What is Power BI Governance? According to the Data Governance Institute, “Data governance is a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods.” In simpler terms, it’s about setting clear rules to manage, access, and use data. Power BI governance applies these same principles; it includes policies, processes, and tools that ensure responsible and effective use of Power BI within an organization. Key Aspects of Power BI Governance Power BI governance isn’t just about rules. It’s about creating a framework that keeps your data accurate, secure, and usable. Below, we’ve described key aspects that you must focus on to maintain a reliable and efficient reporting environment. Why is Power BI Governance Important? Here’s why having Power BI Governance standards is important for organizations: Elements To Consider When Creating a Power BI Governance Strategy Governance structure & ownership Security & access control Workspace & content management Data quality & standards Compliance & privacy Performance optimization Monitoring & auditing Training & adoption Power BI Governance Tools You Need You need a combination of Power BI governance tools to manage and control data effectively, which is crucial for implementing Power BI governance. Below are the tools you should use: Official Power BI Tools: Data catalog and metadata management Security and access control Monitoring and auditing Dataflows and Datamarts Important Data Governance Metrics Below, we’ve mentioned the key data governance metrics that you should monitor in the Power BI governance report. Conclusion Power BI governance makes it easy to build a reliable and scalable analytics environment that supports business decisions. Without clear policies and role definitions, even the best visualizations can turn into data chaos. That’s why many organizations partner with business analytics companies or invest in Power BI consulting services to design governance frameworks that fit their needs. A skilled Power BI company helps you set up security and standardize datasets, ensuring your reporting ecosystem runs smoothly. Whether you need ongoing Power BI consulting or a one-time governance overhaul, experts will help you make the most out of your data without losing control. FAQs I’m planning to scale Power BI across departments. What governance risks should I know? When scaling Power BI, the biggest risks include: To mitigate these, implement centralized workspace approval, dataset certification, and automated monitoring before scaling. How do I control data access and security while expanding Power BI usage? Follow the measures below to control data access and security while expanding: Do I need a centralized Power BI team to manage governance effectively? Yes, a centralized Power BI consulting team is helpful, especially at enterprise scale. It helps to: What are the must-have policies before enabling organization-wide Power BI adoption? Can Power BI governance help improve collaboration without creating a data mess internally in my organization? Effective Power BI governance enables teams to create shared datasets, allowing you to pull data from the same source to create reports. You can also control versions through deployment pipelines to manage Dev/Test/Prod environments. This makes it easy to collaborate without duplication or metric conflicts. Fact checked by –Akansha Rani ~ Content Management Executive

Power BI for Marketing: Top Consulting Firms & Agencies to Know

Power BI is a business intelligence tool by Microsoft that provides real-time insights to promote data-driven decision making across an enterprise. Here, we’ll discuss the top eleven companies offering custom services to implement Power BI for marketing. Microsoft Power BI is a business intelligence and analytics platform that converts data into actionable insights and presents them in visualization reports. Power BI is not used as a standalone tool, but is integrated with a data warehouse or other third-party tools to deliver analytics insights through interactive dashboards. Reports show that 97% of Fortune 500 firms use Power BI in their business operations, and the platform has a 30% share in the analytics and business intelligence market. Statista says the business intelligence software market will reach $29.51 billion by 2025 and grow at a CAGR (compound annual growth rate) of 4.34% to reach $36.49 billion by 2030. Various organizations use Power BI for marketing, finance, sales, inventory, customer management, and other requirements. In fact, it is a cost-effective solution to derive meaningful and data-driven insights for marketers to make informed decisions about promotional campaigns, customer segmentation, and more. Power BI is a vital tool for marketing analytics. According to The Business Research Company, the marketing analytics market will grow from $5.35 billion in 2024 to $6.23 billion in 2025 at a CAGR of 16.4%. It is projected to reach $11.61 billion by 2029 at a CAGR of 16.8%. A business can create an internal team to implement Power BI for marketing or partner with a service provider to benefit from their tailored solutions. In this blog, we’ll look at the top Power BI consulting companies for marketing and the various services they offer to clients from around the world. Top 11 Power BI Companies for Marketing DataToBiz DataToBiz is an award-winning AI and BI company offering tailored Power BI business intelligence marketing solutions to clients from around the globe. As a certified partner of Microsoft (Gold), AWS, and Google Cloud, the company ensures scalable, flexible, and cost-effective Power BI consulting services for startups, SMBs, MSMEs, and large enterprises. It is an ISO-certified company and gives the utmost priority to data compliance and security. Moreover, DataToBiz can set up a customized and interactive Power BI dashboard in mere hours instead of making clients wait for weeks and months. Businesses can use the marketing dashboards to track and measure KPIs and make data-driven decisions in real-time. Gain access to certified Power BI developers with years of experience and choose from the various services (on-premises, cloud-based, and embedded) offered by the company. PKC Consulting PKC Consulting offers people-focused solutions and follows a client-first approach to deliver innovative solutions for business management. It helps clients implement Power BI dashboards for comprehensive data integration and to derive real-time analytics. The company’s marketing performance dashboard on Power BI helps businesses track promotional campaigns, sales, market trends, customer behaviour, and much more to make quick decisions based on data-driven insights. The Power BI marketing reports are interactive and can be used to personalize the marketing campaigns based on purchase behaviour. PKC Consulting offers end-to-end services, including data aggregation, custom dashboard development, training, optimization, etc., to increase ROI and enhance business value. Spec India Spec India offers end-to-end business intelligence consulting services through custom Power BI dashboards for clients from numerous industries. It has a vast project portfolio and showcases many Power BI marketing use cases to help businesses build and implement interactive reporting and data visualization dashboards. The company optimizes data strategy for clients to empower them to make informed decisions by unlocking the full potential of their datasets. Spec India handles various Power BI services, including migration, custom development, consulting, and dedicated teams to manage the analytical model remotely. It also offers advanced analytics through AI capabilities and industry-specific experience for businesses across the globe. Rushkar Rushkar is an IT company offering a range of services, including Power BI marketing dashboard development for businesses to convert their raw data into actionable insights. The company has a team of over 50 certified Power BI experts to work with diverse organizations and help them track various metrics through interactive dashboards. It handles all processes from start to finish to create a streamlined workflow. This enables businesses to automate analytics and derive insights in real-time. Rushkar also integrates Power BI with other Microsoft products to create a unified and cohesive data architecture in the enterprise. SG Analytics SG Analytics offers data, analytics, and AI consulting services to clients worldwide and is known to help businesses transform complex systems into clear and effective workflows. The company’s marketing KPI dashboard using Power BI empowers organizations to redefine their marketing strategies using reliable insights to increase sales and attract more customers. The company’s solutions include an optional layer of data aggregation to optimize data storage and retrieval by quickly accessing the required datasets. SG Analytics takes care of all steps in the Power BI implementation process to provide the promised results to clients. ScaleupAlly ScaleupAlly is a top-tier Power BI consulting service provider that offers customized solutions tailored to the specific needs of clients from diverse regions and industries. It provides data analytics services to help businesses convert raw data into actionable insights and access them through data visualization dashboards. The company’s services to implement Power BI for digital marketing allow organizations to use advanced analytics to track performance, measure ROI, and make real-time changes to marketing campaigns to achieve the desired results. ScaleupAlly assists clients in refining their sales and marketing strategies to successfully grow in competitive markets. Vision Infotech Vision Infotech is an IT service provider offering a range of solutions, including Power BI for sales and marketing requirements. The company’s Power BI consultants are highly experienced and skilled in building custom dashboards that align with the clients’ requirements. It helps businesses overcome various challenges and provides effective solutions to achieve their goals. Vision Infotech also offers comprehensive training and support services for organizations to empower their employees in using the

Why Your Next Boardroom Pitch Needs a Power BI Dashboard?

Microsoft Power BI is one of the leading business intelligence tools in the market. Here, we’ll discuss the role of Power BI dashboards in presenting your ideas at the next boardroom meeting and how they empower the entire team of C-level executives within an organization. Microsoft Power BI is a go-to tool for various executives, middle managers, leaders, and decision-makers. Being among the top business intelligence tools, the platform is used across the enterprise at different levels, departments, and verticals. Statistics show that Power BI has over 30% market share in the analytics and BI platform usage segment. The USA contributes the most to the web version traffic, while Brazil and India are in second and third place. Around 72% of Power BI’s web traffic comes directly, indicating a strong brand presence and value in the global market. When you pitch an idea in a boardroom, pairing it with real-time insights and data visualization reports enhances the pitch and helps share your vision clearly with others. The Power BI executive dashboard is a great way to convince the investors, follow executives, and other stakeholders using data-driven reports. In this blog, we’ll read more about why a Power BI dashboard is a must for executives and top-level decision makers. We will also look at the main metrics or KPIs (key performance indicators) you should track via the Power BI dashboard. What is a Power BI Dashboard for Executives? A Power BI dashboard built for executives is a powerful tool with high customization to provide actionable insights and graphical reports on the micro and macro levels. It helps monitor crucial metrics like revenue, customers, market trends, employee performance, new profit, etc. This information allows C-level executives to make informed decisions about various aspects of the business. The data visualization dashboard simplifies the process of creating PPTs. You don’t have to manually create charts, graphs, tables, or maps. The dashboard is customized by the Power BI company to automatically convert the insights into easy-to-read reports with various graphics. Moreover, you can customize the visualizations in real-time and generate more reports in a few clicks. With a Power BI dashboard, executives can run advanced analytics to get meaningful and relevant insights into their queries and use this information to make proactive decisions. From product launches to research and development, talent management, sales management, and customer management, just about every aspect of the business can be analysed and improved using Power BI dashboards. Don’t just pitch an idea. Present your concept with clear and data-driven visualization reports to support your claims. Top Power BI Dashboards Used by Executives Whether you are a growing business or a leading multinational organization, the top-level executives have similar requirements in Power BI dashboards. These are a must-have for any business. Reasons to Use Power BI Dashboard in the Boardroom Power BI dashboard benefits are varied, as they help reduce inefficiency and mitigate risks while offering cost-effective means to strengthen the business processes and achieve your objectives. Power BI has become popular because of its versatility and ability to assist employees across the enterprise. It is a worthy solution for executives to use during boardroom discussions. Support Your Ideas and Pitches The one-size-fits-all model is no longer effective in our ever-changing business world. Executives and leaders often have to deal with issues like a lack of data, data overload, outdated reports, time constraints, truncated silos, etc., which makes it hard to use the business data to support their ideas and decisions. With Power BI, you can create custom data visualizations for executives based on insights derived from analyzing various datasets in real-time. The cloud-based version can quickly respond to queries and provide insights directly into the dashboard. Proactive Actions Businesses have to be agile, flexible, and scalable in multiple ways to make the most of market opportunities and avoid pitfalls. Sales and market forecasting, correctly interpreting the trends in historical data, predictive future outcomes, etc., are necessary steps to act before competitors. Even when it comes to resolving internal challenges, you should anticipate the problems and sort them out in the initial stages. Power BI dashboards give access to vital information that promotes proactive actions. You can come up with innovative ideas to tackle recurring concerns and strengthen your business. Resource Optimization Allocating and distributing resources is one of the major decisions the top executives have to make. How do you objectively decide where and how the funds, equipment, and talent should be channelled to achieve your goals? Using Power BI for business decisions helps in having a comprehensive view of the progress and requirements in each area. You can know whether resources are being underutilized in one department and how they can be diverted to create better opportunities for others. This results in effectively optimizing existing resources and making the most of them. Collaboration and Team Work The Power BI dashboard can be shared with various employees with varying access levels. The team members can read the insights, add suggestions, and interact with others through the same interface. This makes Power BI a great collaboration platform for executives to discuss important details, compare the insights derived by different departments, and work together to prevent miscommunication or delays. You can always have data and insights at your fingertips and access them from various devices, especially if you use the cloud-based version. Tangible Metrics and Monitoring As C-level executives, it’s vital to regularly ensure that the processes, ideas, and operations are aligned with your organization’s vision, mission, and objectives. For this, you can track the KPIs using Power BI dashboards and monitor the developments in real-time. Power BI consulting companies create custom dashboards to measure various metrics and share automated insights. This allows you to make timely adjustments or decisions to get things back on track if they don’t go according to plan. It is also helpful in identifying challenges and ways to overcome them. Understanding People People are an integral part of any enterprise. Be it employees, vendors,

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

14 Proven Fixes for Slow Power BI Dashboards (By a Developer)

While Microsoft Power BI is an effective tool for business intelligence and data visualization, it can cause a few concerns. Here, we’ll discuss the reasons for slow Power BI dashboards and proven ways to fix the issues as provided by a certified developer. Microsoft Power BI is a business intelligence and data visualization platform with a global client base. Statistics show that around 54,978 companies use Power BI. It enjoys 13.28% of the global market share in the data visualization market, with Tableau, D3js, and Heap Analytics as its competitors. Many startups, SMBs, and multinational organizations use Power BI for various purposes. From the sales teams to finance departments, everyone in the enterprise uses the platform to analyze business data and generate reports to make data-driven decisions. The visualizations on the dashboards are attractive, interactive, and informative. However, some businesses have issues with slow Power BI dashboards. The reports are not generated in real-time, or take too many resources to deliver the output. This leads to questions like, Why is my Power BI dashboard loading so slowly? How can I fix this issue? And so on! Is there an answer to these questions? Absolutely! Slow dashboards can be due to various reasons. It can be resolved by identifying the core problem. Sometimes, it’s a combination of reasons. In such instances, you will get better results by hiring a Power BI consulting company to resolve the issue. Here, we’ll look at the causes of slow Power BI dashboards as well as how to improve report performance in Power BI by making a few strategic and technical changes to the process. Potential Causes for a Slow Power BI Dashboard Power BI performance depends on various factors like the existing IT infrastructure, internet network, hardware, third-party software, employee efficiency, and much more. That’s why it’s recommended to work with a Power BI service provider to perform an audit of your systems and create a comprehensive plan to revamp the entire data architecture and infrastructure if required. Even if it sounds like an expensive and complex project, it ensures seamless performance and fast results. It also provides high ROI and makes it a worthy investment. A few common reasons for slow Power BI dashboards are as follows: Outdated Architecture Data architecture refers to the blueprint of how you manage your business data. It includes data collection, cleaning, storing, transformation, etc., as well as how the data is used to derive meaningful insights. Having a robust data architecture will ensure seamless data flow within the organizations. However, when you use outdated department silos and older software with Power BI, the platform cannot work effectively. For example, connecting Power BI with SQL Server databases might be easy but the results will be greater if you connect it to Amazon Redshift or Azure. This requires technical expertise. Mismatch of Technologies Though many third-party tools can be integrated using APIs or other means, it is important to choose the ones that are more compatible with each other and don’t cause glitches. Moreover, using older technology with the latest ones can reduce overall efficiency. Power BI can have a few issues working with the distributed nature of the cloud. So, dealing with large datasets can be a concern if the connections are not set up properly. This slows the Power BI dashboard and limits real-time decision-making. You can improve Power BI speed by choosing supporting tools and technologies with care. Data Complexity and Volume There’s no lack of data in today’s times. If anything, it’s the opposite. Businesses often have too much data, with more being generated every hour. However, not all of it is useful. Additionally, creating data relationships can be complex and confusing. When such highly complex datasets are connected to Power BI, the tool can take extra time to analyze the data and provide an output. It results in computational overheads while reducing responsiveness. Knowing how to store complex data and use it for analytics can resolve the issue. Poor Data Modeling and Management Data modeling is the creation of a visual representation of data and its relationship within the database. It streamlines the ETL (extract, transform, load) process by reducing uncertainties. However, if your data modeling and management processes are not clearly defined or optimized, you will end up with poor data quality and glitches, which ultimately slow down the entire system. Power BI dashboards will be less efficient in analyzing the data to deliver insights. On the other hand, robust data modeling makes it easier to automate the process using AI tools and speeds up the Power BI dashboards. Excess Visualization in Reports Data visualization is the graphical representation of data and insights using charts, graphs, diagrams, infographics, and animations. These reports are interactive and unique, and make it easy to understand complex insights. Power BI dashboards are used to create dynamic visualizations. However, you should be careful not to overdo this. Adding multiple visuals to the same page can overload it and slow down the dashboard. This results in lower efficiency and delayed insights. Think about whether you really need a dozen visuals on the same page or if you can use only a few to share the same information. Power BI dashboard optimization includes personalization of the visuals to balance efficiency and speed with user-friendliness. Overloaded Report Architecture (DAX calculations) DAX stands for Data Analysis Expressions and is used for queries and calculations. It is different from SQL, which works seamlessly with Power BI. Translating DAX to SQL queries can result in slow processing and inefficiencies. When the data operations become more complex, it further affects the platform and causes a lag. Optimizing the report architecture instead of overloading it is a comprehensive solution to overcome the challenge. This can be done by certified Power BI experts. Hire reputed Power BI services to rewrite the formulas, remove unwanted high-cardinality fields, and optimize the process. 14 Proven Fixes for Slow Power BI Dashboards Power BI optimization can speed up slow dashboards. This

Power BI in Ecommerce – Top 11 Companies Shaping Analytics

The Ecommerce sector can vastly benefit from using business data to derive actionable insights and make data-driven decisions through real-time dashboards. Here, we’ll discuss the top 11 Power BI companies in the Ecommerce industry and their services. Ecommerce is among the fastest-growing industries in the global market. With millions of people buying products online, there is high demand and supply for a plethora of goods. Be it medicines, apparel, electronics, or groceries, numerous products can be purchased online directly from the manufacturer, distributor, or online retailer. Statistics show that 2.77 billion people are estimated to shop digitally. This represents 33% of the global population. With over 28 million Ecommerce stores in the market, there is high competition between businesses to capture more customers and retain them. In such instances, data analytics and business intelligence help businesses get a clear understanding of the market trends, sales, customer behavior, competitors, etc. By implementing platforms like Microsoft Power BI, Ecommerce businesses can make quick and effective data-driven decisions to stay ahead of competitors and achieve their targets. In this blog, we’ll read more about the role of Power BI in Ecommerce and the top eleven companies that offer the required services to benefit from the platform’s solutions. How is Power BI Used in Ecommerce? Power BI is a business intelligence and data visualization platform developed by Microsoft. It can be integrated with diverse data sources to collect business data and analyze it to provide in-depth insights and reports through the dashboards. Employees from different departments use the insights and visualization reports for real-time decision-making. By using Power BI in Ecommerce, a business of any size can streamline its operations and enhance customer experience. While businesses can implement Power BI on their own, partnering with a service provider will ensure accurate and seamless results. Moreover, the company offers long-term support and maintenance services to troubleshoot and upgrade the platform whenever necessary. Here are a few ways to use Power BI services to boost Ecommerce business. Customer Segmentation Customers are vital in Ecommerce. How a business reaches out to its target audiences, how it promotes the products, customer behavior, purchase patterns, demographics, etc., determines its success. With Power BI, the business can analyze customer data to derive in-depth insights. Based on these, the business can sort and filter customers into different segments and send customized target promotions accordingly. Inventory Management How many products should the business stock? Which item is in more demand? When will customers buy a certain product more? Power BI can be used to derive such insights. This helps maintain inventory levels and handle fluctuating demands without worrying about low stock. Similarly, the business can avoid overstocking a product. Supply Chain Management After inventory, supply chain management and logistics are other crucial aspects of an Ecommerce business. With help from Power BI companies, businesses can streamline all parts of the supply chain, reduce risk, and make alternate arrangements in advance to prevent delays and disruptions. Sales and Revenue Analysis The sales data gives plenty of insights into Ecommerce businesses. It can be used to measure progress, identify weak areas, understand growth opportunities, etc., for different products, regions, durations, and so on. With real-time Power BI dashboards, the sales team can get instant inputs and take corrective steps before it is too late. This also enhances customer experience. Marketing and Promotions Power BI can also be used to analyze data from websites, ads, social media platforms, and marketing campaigns to provide a clear picture through the dashboard. With this information at their fingertips, Ecommerce businesses can track metrics like click-through rates, conversion rates, acquisition costs, and many more to increase ROI from marketing. Predictive Analytics Predictive analytics are a type of advanced analytics that process historical data to predict future trends for the business. By using Power BI to forecast sales and understand market fluctuations, the Ecommerce business can be ready to tackle seasonal fluctuations and changes in customer behavior. Real-Time Reporting Ecommerce analytics through Power BI dashboards can be used for real-time reporting. Employees can send a query and get an instant outcome to make a decision or complete the task. Whenever businesses have to make quick decisions, they can use real-time reporting and stay at the top of the game instead of relying on outdated and old reports. Power BI in Ecommerce – Top 11 Industry Players DataToBiz DataToBiz is an end-to-end AI company offering tailored services to implement solutions for Power BI in Ecommerce. As a certified Microsoft Gold Partner and Microsoft Power BI Showcase Partner, the company has the required expertise and experience to build, deploy, integrate, and customize Power BI dashboards as per clients’ requirements. It works with startups, SMBs, MSMEs, and large enterprises from across the globe. The company has in-depth knowledge of various industry standards and knows how to help businesses align their process with their mission and achieve the desired goals. As one of the leading business intelligence companies, DataToBiz has worked on several data visualization Power BI projects. The professionals build custom dashboards and provide the necessary support to ensure seamless integration with third-party tools. Ecommerce businesses can use real-time visualization reports to track their sales, marketing campaigns, customer experience, targets, etc., and make data-driven decisions. ScienceSoft ScienceSoft is a global IT consulting and software development company offering retail analytics solutions through Power BI dashboards. The company’s services are customized to meet the varied requirements of clients and help them implement advanced solutions with ease. It assists retail and Ecommerce businesses in converting raw data into valuable insights to make real-time decisions and capture more audiences. The company also works with businesses from several sectors by offering industry-specific services. It has been a Microsoft Solutions Partner for years and has ISO 9001 and ISO 27001 certifications to ensure quality solutions. The company has won The Americas’ Fastest-Growing Companies by the Financial Times thrice in a row. ScienceSoft has experienced Power BI developers who create diverse dashboards for KPIs and set up the

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