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.
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.
Power BI is one of the most powerful Business Intelligence tools available on the market. It enables the integration of data from various sources, its analysis, and presentation in the form of interactive reports and dashboards. However, like any advanced tool, it requires proper preparation, knowledge, and experience to unlock its full potential.
The Internet of Things (IoT) is changing how companies collect, process and use operational data. Intelligent devices, sensors, and machines continuously generate vast information volumes that can become a competitive advantage when properly analysed. Power BI, as one of the leading tools for visualising and analysing data, plays a key role in realising the potential of IoT data in real time. By integrating Power BI with IoT, organisations can gain complete insight into processes, optimise operations and make decisions based on up-to-date information from the field.
Apps in Power BI are a convenient way to organize and share reports within a company. Instead of distributing individual dashboards or reports, you can bundle them into a single package and share them with the right users. This ensures that data professionals have quick access to key information, while administrators can easily manage permissions and updates.
Effective human resource management requires access to reliable data and tools that enable real-time analysis. Power BI is a solution that allows HR professionals to monitor employment and employee turnover rates, helping them make strategic decisions based on data. In this article, we will look at how to use Power BI for HR analysis and the benefits it brings to organisations.
