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Microsoft Power BI w zakupach i procurement .
News

Microsoft Power BI in Purchasing and Procurement – How to Analyze Suppliers, Prices, Lead Times, and Procurement Risk

Purchasing is increasingly moving beyond the traditional role of placing orders and negotiating discounts. In modern organizations, procurement has become a strategic function that directly impacts margins, operational continuity, production flow, customer service quality, and the resilience of the entire supply chain. Deloitte’s Global CPO Survey 2025 highlights the growing role of procurement in managing risk, costs, and strategic business decisions. Microsoft Power BI helps organizations structure and analyze procurement data from ERP systems, warehouse platforms, financial systems, production systems, quotation spreadsheets, and supplier databases. As a result, companies can answer key business questions faster: Which suppliers do we buy from the most? Where are prices increasing? Which suppliers are delaying deliveries? Which categories generate the highest risk? Are negotiated procurement terms actually improving financial performance?

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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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Microsoft Power BI

All tools in Microsoft Fabric

Microsoft Fabric was created to integrate the entire data ecosystem into a single platform. It is a comprehensive SaaS (Software as a Service) analytics solution that enables organizations to execute the full data lifecycle — from data integration, through transformation and processing, to reporting and real-time analytics.

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Google Sheets Integration
From the BI industry

Power BI Google Sheets Integration

Is your organization’s data scattered across multiple tools, with reporting requiring manual consolidation from various sources? This is a common scenario in many companies, especially where operational teams rely on Google Sheets as a quick and flexible data tool.

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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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sharepoint power bi
Microsoft Power BI

SharePoint and Power BI – Effective Data Integration in an Organization

Are the data in your organization scattered across various systems such as ERP, Excel, marketing tools, or SharePoint? If so, there is a high risk that reporting does not reflect the full picture of the business situation. A lack of data integration often leads to inconsistencies, errors, and longer decision‑making times.

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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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