Małgorzata Dadok-Grabska, Autor w serwisie EBIS

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Power BI for Accounts Receivable Management: How to Analyze DSO, Overdue Invoices, and Liquidity Risk

Growing sales do not always mean more money in the bank. A company can fulfill new orders and report a profit while waiting increasingly longer to get paid. When payroll, taxes, and supplier payments come due before customer payments arrive, the business needs analysis that goes beyond a list of unpaid invoices. Power BI for accounts receivable management combines sales data, account balances, and customer payment behavior. This enables finance and sales teams to collaborate on a shared report, identify issues earlier, and determine which actions are most critical for maintaining liquidity.

2026-09-24

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Power BI for Maintenance Management: How to Monitor OEE, Equipment Failures, MTBF, MTTR, and Downtime Costs

Which machine needs an upgrade? Why are repair times increasing even though failures are becoming less frequent? Would additional spare parts inventory actually reduce losses? Answering these questions requires combining technical, production, and financial data. Power BI for maintenance management brings this information into a single reporting environment, making it possible to compare results and examine the events behind changes in key metrics.

2026-09-09

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How to Design a Data Model in Power BI for Fast, Scalable, and Reliable Reports

According to IBM, data quality remains one of the most important challenges for companies expanding their analytics capabilities. However, the problem is not limited to missing or inaccurate records. Equally important is how data is connected, organized, and described within the Power BI model. This layer determines report accuracy, KPI consistency, and the ability to scale the solution safely as data volumes and the number of users increase. So how should a data model in Microsoft Power BI be designed to effectively support a company’s day-to-day operations?

2026-08-25

Power BI w analizie rentowności klientów

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Power BI for Customer and Product Profitability Analysis: How to Identify Hidden Losses in Your Business

The sales director opens the monthly report and sees a reason to celebrate: a key customer has increased its order volume by 18%, while one product has generated record revenue. A few days later, however, the finance department reports that the company’s operating profit has declined. The problem lies beyond the scope of a standard sales report. The customer regularly receives discounts, places small and urgent orders, requires custom deliveries, frequently uses support services, and pays invoices late. The popular product, in turn, generates numerous returns, costly production changeovers, and expedited shipments. Sales are growing, but instead of contributing to profit, part of every transaction is covering costs that remain invisible at the invoice level. Power BI makes it possible to combine this information and show where the company is actually making money and where it is merely increasing revenue.

2026-08-11

Microsoft Power BI

Power BI in Customer Service and After-Sales Support: How to Monitor SLAs, Complaints, and Service Costs

Customers evaluate a company not only based on its products and prices, but also on how it responds to questions, problems, and complaints. According to Zendesk CX Trends 2026, as many as 88% of customers expect faster responses than they did a year earlier. These growing expectations mean that service quality directly affects customer loyalty, brand reputation, and future revenue. At the same time, data related to support tickets, sales, contracts, and costs is often stored across multiple systems. Power BI brings this information together in a single view. As a result, companies can monitor service quality, identify recurring problems, and make better-informed decisions.

2026-07-29

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Power BI in Logistics and Supply Chain Management: How to Monitor Inventory, Delays, and Transportation Costs

Imagine that a single day of delivery delays costs your company more than the monthly salaries of an entire team. Or that a warehouse full of goods does not represent security at all, but hundreds of thousands of dollars tied up in inventory. Logistics is more than an operational function—it can quietly generate profits or losses every day. The problem is that most companies see only individual pieces of the puzzle. Data on sales, inventory, orders, and transportation exists, but it rarely forms a consistent, comprehensive picture. Power BI enables organizations to view the supply chain as a single interconnected system. It reveals where costs are actually generated, where risks are emerging, and where money is being lost. As a result, business decisions are no longer limited to reacting to problems – they can help prevent them.

2026-07-15

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Power BI for Executives: 10 KPIs That Truly Support Strategic Decision-Making

Managing a company at the executive level requires access to data that not only describes the current situation, but above all supports decisions about the organization’s future. Key performance indicators should show whether the company is executing its strategy, growing profitably, maintaining liquidity, using resources effectively, and building a competitive advantage. In practice, many organizations still base executive reporting on recurring summaries created manually in spreadsheets. In such cases, the problem is not a lack of data but rather its fragmentation, delay, and the absence of a single version of the truth. Power BI enables combining information from financial, sales, operational, HR, CRM, ERP, and marketing systems into a single coherent analytical model. As a result, executives can analyze the company’s situation in near real time, monitor deviations from the plan, and respond more quickly to business risks and opportunities.

2026-06-25

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Power BI in Sales Management: How to Analyze Targets, Margin, Forecasts, and Sales Team Performance

Sales management can no longer rely solely on monthly performance summaries and a manager’s intuition. Companies need up-to-date information on target achievement, transaction profitability, sales pipeline quality, and sales team activity. Power BI makes it possible to combine data from CRM, ERP, spreadsheets, e-commerce platforms, and financial systems into one consistent view of sales performance. As a result, the executive team, sales director, regional managers, and sales representatives work with the same KPIs rather than comparing multiple versions of the reports. This is especially important in organizations where discounting, pricing, and promotional decisions must be made quickly yet remain based on reliable data. Microsoft Power BI does not replace a sales strategy; it enables consistent monitoring and further development of that strategy.

2026-06-11

Microsoft Power BI w zakupach i procurement .

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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?

2026-05-28

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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.

2026-05-14

Blog

Power BI for Accounts Receivable Management: How to Analyze DSO, Overdue Invoices, and Liquidity Risk

Power BI for Maintenance Management: How to Monitor OEE, Equipment Failures, MTBF, MTTR, and Downtime Costs

How to Design a Data Model in Power BI for Fast, Scalable, and Reliable Reports

Power BI for Customer and Product Profitability Analysis: How to Identify Hidden Losses in Your Business

Power BI in Customer Service and After-Sales Support: How to Monitor SLAs, Complaints, and Service Costs

Power BI in Logistics and Supply Chain Management: How to Monitor Inventory, Delays, and Transportation Costs

Power BI for Executives: 10 KPIs That Truly Support Strategic Decision-Making

Power BI in Sales Management: How to Analyze Targets, Margin, Forecasts, and Sales Team Performance

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

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

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