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błędy w raportach Power BI.
Blog

Errors in Power BI Reports That Undermine Data Reliability – 10 Issues Worth Addressing

Power BI can serve as a hub for management, sales, financial, and operational reporting. It can also become a source of uncertainty if users are unsure whether the figures presented are up to date, complete, and correctly interpreted. According to Gartner, poor data quality costs organizations at least $12.9 million annually, which is why the reliability of reporting is directly linked to business risk. An inaccurate dashboard can lead to overestimated sales forecasts, misguided purchasing decisions, poor profitability assessments, or delayed responses to margin declines.

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Power BI dla CFO.
Blog

Power BI for CFOs – which metrics really support financial decisions, and which just take up space on the dashboard

Today’s CFO doesn’t need more reports. They need more clarity. In many companies, financial dashboards have grown so large that, instead of supporting decision-making, they make it difficult to identify what is truly important. A single screen displays dozens of charts, tables with detailed data, and numerous metrics that do not lead to any specific action. Meanwhile, the CFO’s role is not to track everything, but to quickly identify priorities: whether the company is maintaining liquidity, whether the results are strong, where risks are rising, and which areas require action. That is precisely why a well-designed Power BI dashboard should function as a management dashboard, not as a data warehouse. The better organized the logic of the metrics, the greater the value of the reporting.

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Power BI w sprzedaży B2B.
Blog

Power BI in B2B sales – how to analyze the pipeline, conversion rates, and sales rep performance without report chaos?

In B2B sales, the problem is rarely a lack of data. More often than not, companies are drowning in an excess of it: separate CRM systems, separate Excel spreadsheets, separate sales notes, and on top of that, several different versions of the same report. The result is predictable: management sees a different pipeline value than the sales director, and salespeople don’t know which definition is used to evaluate their performance. This is a very costly mess, especially since, according to Salesforce, salespeople spend only 28% of their week selling, and just 35% of sales professionals fully trust the accuracy of their organization’s data. In such an environment, Power BI shouldn’t be just another place to look at charts, but a shared decision-making system.

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Analityka w controllingu z Power BI
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Analityka w controllingu z Power BI: jak uspójnić budżet, wykonanie i prognozy, żeby szybciej reagować na odchylenia

Controlling przestaje dziś pełnić wyłącznie funkcję sprawozdawczą. Od działów finansowych i controllingowych oczekuje się nie tylko raportowania tego, co już się wydarzyło, ale przede wszystkim szybkiego wychwytywania odchyleń, oceny ich wpływu na wynik i wskazywania działań korygujących. Problem w tym, że w wielu organizacjach budżet, wykonanie i prognozy nadal funkcjonują w osobnych arkuszach, systemach albo raportach, które trudno ze sobą porównać. W efekcie zarząd dostaje informacje z opóźnieniem, a menedżerowie operacyjni często reagują dopiero wtedy, gdy skala problemu jest już duża. Power BI porządkuje ten obszar, ponieważ pozwala połączyć dane finansowe i operacyjne w jeden spójny model zarządczy. Dzięki temu controlling może działać nie reaktywnie, lecz predykcyjnie. Przyjrzyjmy się bliżej możliwościom.

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analityka projektów inwestycyjnych.
Blog

Investment Project Analysis: How to Assess Profitability, Risks, and Timelines in Reports Using Power BI

Today, investment projects are among the most complex areas of management within organizations. Their success is no longer determined solely by whether the project was completed on time and within budget, but above all by whether it actually delivered the expected business value. PMI emphasizes that a modern assessment of project success should combine the execution perspective with the business impact perspective, rather than being limited solely to the classic “iron triangle.” In a 2024 PMI study, 48% of projects were rated as successful, 40% as yielding mixed results, and 12% as failures, which shows how many organizations still struggle to translate capital expenditures into measurable outcomes. At the same time, projects that combined strong execution with genuinely useful outcomes achieved the highest perceived effectiveness. This is precisely why investment project analytics must encompass not only cost but also value, risk, progress, variances, and decision-making scenarios. Power BI is particularly useful in this area because it allows you to combine financial, scheduling, and operational data into a single, cohesive reporting environment.

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Power BI adoption in organization.
Blog

Reports that users will like: how to increase Power BI adoption in your organization?

Power BI adoption rarely fails because the tool itself “doesn’t work.” Most often, the problem lies elsewhere: reports do not fit into the daily work rhythm of users. They are too complex, the data is often inconsistent or outdated, and the report can take too long to load—as a result, people return to Excel. This is important because BARC research shows that on average only about 25% of employees actively use BI tools, and in large organizations even about 16%. The good news, however, is that adoption is “designable.” If we approach reporting as a product (with UX, audience segmentation, usage measurement, and iteration), Power BI becomes an everyday work tool rather than a monthly “PDF for a meeting.” How to make such a change? We’ll give you some tips!

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Microsoft Power BI w działach operacyjnych.
Blog

Analytics for the operations department: how to measure process efficiency

Operational efficiency most often “slips away” quietly: queues grow, exceptions increase, and rework begins to eat up the team’s time. In such conditions, Power BI should not be just a tool for monthly reporting, but an operations control center—a place where you can see deviations, their causes, and priorities for today and the coming days. The key change is that the report should not only answer the question “how much have we done,” but also show “where the process is slowing down, why, and what needs to be changed.” A well-implemented data analysis system, such as Microsoft Power BI, allows you to translate the discussion about “feelings” into data: stage times, exceptions, process stability, team workload, and the risk of SLA violations. What’s more, when data is fed in regularly, the operational dashboard becomes a tool for everyday work: for change leaders, coordinators, operations managers, and those responsible for process improvement. And that means a real impact on unit costs, quality, and predictability of delivery. Let’s take a closer look at this topic.

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Executive dashboard.
Microsoft Power BI

Power BI and management reporting: how to design an executive dashboard that truly supports decision-making

Today’s management teams have less and less time for analysis and more and more decisions to make. When data comes from multiple sources and has different definitions, meetings quickly turn into explanations of discrepancies rather than determining actions. A well-designed executive dashboard in Power BI provides a single view of key KPIs, plan, and trend context, and indicates where action is needed. Later in this article, we show you how to design it to truly streamline your processes.

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power Bi w HR.
Microsoft Power BI

Power BI in HR: analytics of turnover, absenteeism, and labor costs

In many companies, HR and finance departments look at people from two perspectives: HR looks for causes and patterns (why people leave, where absenteeism is growing, what is happening with engagement), while payroll keeps an eye on costs (how much it really costs and how it affects the bottom line). Power BI allows you to combine these worlds into a single, consistent data model and turn scattered HR and payroll reports into decision-making dashboards. This is particularly important because turnover is rarely “just an HR problem” – the cost of replacing an employee is estimated at between 50% and 200% of their annual salary, depending on their role and seniority. In turn, sick leave in Poland is on a scale that cannot be ignored: in 2024, 27.4 million medical certificates were registered, totaling 290 million days of absence. When we compare this data with the cost of man-hours, overtime, and replacements, we get a picture that is ideal for weekly or monthly management – not “after the fact” at the end of the quarter.

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CustomerJourney marketing power bi
Blog

Power BI in marketing analysis – how to measure campaign effectiveness and the customer journey

In a world where marketing campaigns run simultaneously across Google, social media, email marketing, CRM, and e-commerce, “marketer’s intuition” is no longer enough. Companies need a consistent, numerical picture of what really works: which campaigns generate sales, how customers navigate the purchase path, and where we lose the most potential in the process. Power BI, properly connected to data from marketing and sales tools, allows you to turn chaotic partial reports into a single, transparent system for measuring campaign effectiveness and analyzing the customer journey—from the first click to a loyal customer.

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