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architektura bezpieczeństwa w Power BI.
Microsoft Power BI

Data security in Power BI – best practices and tools

In the era of digital transformation, data has become one of the most valuable assets of an organization. As its value grows, so does the risk associated with unauthorized access, loss, or mishandling of information. According to IBM’s Cost of a Data Breach 2024 report, the average cost of a single data breach incident is already over $4.45 million, with the professional services, financial, and technology sectors being particularly vulnerable. Therefore, data security in analytical tools such as Microsoft Power BI is becoming a priority not only for IT departments, but also for business leaders. Power BI offers an advanced set of features that enable not only data analysis, but also effective protection at every stage of the lifecycle – from acquisition, through processing, to sharing and publishing reports.

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Blog

Power BI and business process automation – integration with Power Automate and Teams

In the era of digital transformation, companies are increasingly looking for ways to not only analyze data, but also automate actions based on it. Reports and dashboards are no longer just a source of information—they are becoming a starting point for decision-making and implementing processes in real time. Fortunately, the Microsoft 365 ecosystem now enables full synergy between analytics, automation, and teamwork. By integrating Power BI, Power Automate, and Microsoft Teams, organizations can build intelligent workflows that connect data, processes, and people. In practice, this means shorter response times, fewer errors, and full visibility into business processes. What else? More about this later in the article.

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Power BI a sztuczna inteligencja.
Microsoft Power BI

Power BI and artificial intelligence – practical applications of AI in reports and forecasts

Power BI, one of the most popular data analysis tools, has been helping companies transform raw information into clear reports and interactive dashboards for years. However, the development of artificial intelligence (AI) has taken its capabilities to a whole new level. Thanks to integration with machine learning models and advanced predictive algorithms, users can now not only analyze historical data, but also forecast future trends and automate decision-making processes. This means that Power BI is no longer just a reporting tool – it has become a center for intelligent business analytics.

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power bi copilot a zarządzanie projektami.
Blog

Power BI Copilot and project management

Modern project management requires not only excellent team organisation, but above all, quick and accurate data-driven decision-making. Business Intelligence tools that integrate data from various sources and present it in clear, concise reports are becoming increasingly important. Microsoft Power BI has been a leader in this field for years, and the introduction of Power BI Copilot—a feature based on artificial intelligence—opens a new chapter in project data analysis. Copilot enables managers and project teams to use data intuitively, automatically generate visualizations and reports, and supports management processes through real-time analysis. Let’s take a closer look at its capabilities.

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Jak mierzyć efektywność sprzedaży z pomocą Power BI.
Blog

How to measure sales effectiveness with Power BI?

Sales effectiveness is one of the key areas of analysis in any organization. Companies that can accurately measure and interpret sales data gain a competitive advantage, respond more quickly to market changes, and manage resources more effectively. Traditional reports in Excel or ERP systems are increasingly proving insufficient. That is why companies are turning to Business Intelligence tools, with Microsoft Power BI leading the way. This solution not only allows you to visualize data, but also to monitor key sales performance indicators (KPIs) in real time.

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Modelowanie danych dla e-commerce w Power BI.
Blog

Data modeling for e-commerce in Power BI – examples and tips

E-commerce generates huge amounts of data: from transactions and customer information, through marketing campaigns, to logistics and order and return processing. The challenge is not only to collect this data, but also to model and analyze it appropriately. This is where Power BI comes in – a tool that allows you to transform scattered information into coherent and readable analytics that support business decisions. In this article, we will present best practices for data modeling in e-commerce, show examples of applications, and suggest how to avoid common mistakes.

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Integracja Power BI z narzędziami do zarządzania projektami.
From the BI industry

Integration of Power BI with project management tools

In many organizations, project data is scattered—some of it is in tools such as Microsoft Project or Planner, some in Jira or Trello, and some in Excel spreadsheets or SharePoint. This dispersion makes it difficult to get a complete picture of the project situation and hinders quick decision-making. As a result, the risk of errors, delays, and budget overruns increases. The solution is to integrate project management tools with Power BI. This advanced analytics platform allows you to collect data in one place and present it in a clear, interactive form. In this article, we demonstrate what such integration entails, the systems it works best with, and the benefits it brings to project teams and management.

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monitorowanie wskaźników ESG w Power BI.
Microsoft Power BI

Monitoring ESG indicators in Power BI

Increasingly, companies are facing expectations from investors, customers, and regulators regarding transparency in environmental, social, and corporate governance activities—i.e., ESG (Environmental, Social, Governance) indicators. Sustainable development is no longer just a matter of image, but is becoming a key element of business strategy. In this context, data analytics plays a fundamental role. Power BI, as an advanced Business Intelligence tool, not only allows for reporting ESG indicators but also enables real-time monitoring, identifying threats and opportunities for improvement. In this article, we present how to utilise Power BI to track and manage ESG indicators effectively.

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Power BI a analiza kosztów.
From the BI industry

Power BI and cost analysis – how to optimize operating expenses?

Every organization must monitor costs and actively optimize them in times of growing pressure to be efficient. Traditional spreadsheet-based reporting often proves too slow and inflexible to support dynamic business decisions. This is where Power BI comes in—a Business Intelligence platform that enables real-time cost analysis, identification of areas of excessive spending, and modeling of savings scenarios. In this article, we look at how Microsoft Power BI supports organizations in controlling and optimizing operating costs.

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storytelling w analizie danych.
From the BI industry

Power BI and storytelling – how to build a narrative around 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.

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