Have you ever wondered how Power BI works and why so many companies choose to implement it? If you work with data analysis in Excel, prepare reports, or build dashboards for management, you know how time-consuming and error-prone manual data processing can be. That’s exactly where Microsoft Power BI comes in—a tool that has revolutionized the way businesses analyze, visualize, and share data.
In the age of information overload, presenting data in its raw form is no longer effective. For data to fulfill its function—to support decisions, persuade, and inspire—it must be placed in context and transformed into a story. Data storytelling is all about: creating engaging stories from data that give meaning to numbers and lead the audience to conclusions. As an advanced Business Intelligence tool, Power BI enables data visualization and provides space to create narratives that support strategic decisions in organizations.
If you’re using Power BI Premium, this news could be critical to the uptime of your analytics systems. Microsoft has announced the official retirement of the Power BI Premium (P-SKU) license, meaning users will no longer be able to purchase or extend it. This is a big change that affects both current users and companies considering implementing Power BI in the near future.
Have you ever wondered what Business Intelligence is used for and why it’s so often mentioned in the context of modern business management? You may have come across the term during an ERP system implementation, while analyzing sales data, or when someone on your team brought up Power BI. In this article, I’ll walk you step by step through what Business Intelligence is, how it works, and – most importantly – how it can benefit your company.
Power BI is one of the most powerful tools for business data analysis and visualization, developed by Microsoft. It allows you to connect data from various sources (such as ERP, CRM, Excel, or social media), transform it into digestible reports, and make fact-based — not gut-based — business decisions.
Effective project management requires access to reliable data, quick decision-making, and ongoing progress monitoring. While popular project management tools such as Microsoft Project, Asana, Trello, Jira, and Monday.com offer rich operational features, they often lack advanced analytics capabilities. This is where Power BI comes in – a Business Intelligence tool that enables you to create interactive reports, dashboards and real-time analytics. In this article, we will show you why it is worth integrating Power BI with project management tools, what benefits such integration brings, and what analytical scenarios can be implemented in practice.
Does your organization still rely on manual data collection, updating reports, and analyzing metrics in spreadsheets? If so, you are wasting time, reducing the accuracy of your analysis, and delaying key business decisions.
In an era of growing regulatory pressure and expectations from investors and consumers, sustainable development is becoming one of the pillars of business activity. ESG, or environmental, social and governance criteria, are no longer just part of voluntary CSR activities, but are increasingly monitored by supervisory authorities, auditors, and the public. With the introduction of regulations such as the CSRD (Corporate Sustainability Reporting Directive), companies must present measurable data on their impact on the environment and society. However, not only is ‘end-of-year’ reporting key, but also ongoing progress tracking, early detection of irregularities and decision-making based on current data. In this context, Microsoft Power BI becomes a tool that enables the effective integration of data from multiple sources, its transformation and presentation in the form of intuitive visualisations.
Proper data organization in Power BI has a significant impact on report quality, performance, and ease of interpretation. One of the most commonly recommended data models—by BI experts and business users alike—is the Star schema in Power BI. What makes this model so effective? How does it influence daily reporting tasks? And when is it worth implementing in your organization?
Modern companies can access vast amounts of text data from various sources: social media, product reviews, contact forms and opinions posted on industry portals. One of the most valuable, yet most challenging to analyse, information resources is text-based customer reviews. Companies increasingly turn to sentiment analysis to transform this data into valuable insights. Power BI, integrated with Microsoft’s artificial intelligence tools, allows you to carry out the complete sentiment analysis process and visualise the results in an understandable way to business decision makers. What is sentiment analysis, and how can Microsoft Power BI support this process? You will find answers to these and other questions in the article.
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