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Power BI w zarządzaniu kapitałem obrotowym.

Blog

Power BI for Working Capital Management – How to Bring Receivables, Inventory, and Payables Into a Single Liquidity View

A company can be profitable, meet its sales targets, and still require increasing amounts of financing for day-to-day operations. The reason is often not a lack of profit, but capital tied up in receivables and inventory or an unfavorable relationship between customer and supplier payment terms. For this reason, liquidity management should not be limited to monitoring the bank account balance. A much more complete picture comes from analyzing working capital and the cash conversion cycle. In PwC’s study of listed companies in the Middle East, working capital efficiency improved by 5.6% in 2024, while the authors estimated that USD 54.7 billion in potential cash remained tied up on the balance sheets of the companies analyzed. Power BI can move this type of analysis from periodic financial reporting into day-to-day management.

2026-10-13

From the BI industry

Power BI for Pricing and Discount Management – How to Detect Price Leakage and Protect Margins

A company can meet its sales targets, acquire new customers, and increase revenue while gradually giving away a larger share of its margin. The reason is not always rising purchasing or manufacturing costs. Quite often, the problem lies in pricing: excessive discounts, individual commercial terms, uncontrolled deviations from the price list, or promotions whose actual impact is never analyzed afterward. Across a large number of transactions, even small pricing differences can have a significant financial impact over the course of a year. McKinsey has pointed out that in distribution, a 1% improvement in average realized price can have a disproportionately large impact on EBITDA because much of the additional revenue flows directly to the bottom line. Power BI makes it possible to see where the company is actually enforcing its pricing strategy and where margin is disappearing between the list price and the final invoice price.

2026-10-06

Blog

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

Blog

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

Events

Meet EBIS at FabCon Europe 2026 in Barcelona

From September 28 to October 1, 2026, Barcelona will become one of the most important destinations for the European Microsoft Data community. During this time, CCIB will host the European Microsoft Fabric + SQL Community Conference.

This year, EBIS will be a sponsor and exhibitor at the event. We invite you to visit our booth and meet our team in person.

2026-09-01

Blog

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

Blog

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

Microsoft Power BI

Dynamics 365 and Power BI: How to Use Data to Make Better Business Decisions

Data plays a crucial role in managing a modern enterprise. Every day, organizations process information from multiple business areas, including sales, finance, customer service, logistics, and project management. However, simply having access to data is not enough to effectively support business growth. The ability to quickly analyze data and transform it into actionable business insights is equally important.

2026-07-27

Microsoft Power BI

Snowflake Power BI: How to Build a Modern Analytics Environment

The growing number of business systems means that companies now collect vast amounts of data from multiple sources. Sales, financial, operational, and marketing information flows into organizations from ERP systems, CRM platforms, e-commerce solutions, accounting applications, and cloud services.

2026-07-15

Blog

Power BI for Working Capital Management – How to Bring Receivables, Inventory, and Payables Into a Single Liquidity View

Power BI for Pricing and Discount Management – How to Detect Price Leakage and Protect Margins

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

Meet EBIS at FabCon Europe 2026 in Barcelona

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

Dynamics 365 and Power BI: How to Use Data to Make Better Business Decisions

Snowflake Power BI: How to Build a Modern Analytics Environment

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