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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

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

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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

Microsoft Power BI

Looker Studio vs Power BI – Comparing Features, Costs, and Use Cases

As the volume of business data continues to grow, organizations are increasingly investing in Business Intelligence (BI) tools that transform scattered information into clear reports and analyses that support data-driven decision-making. Choosing the right platform directly impacts analyst productivity, reporting quality, and the long-term scalability of a company’s data environment.

2026-07-07

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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

Microsoft Power BI

Salesforce and Power BI integration: better data analysis, real-time reporting, and smarter business decisions.

Many companies using Salesforce accumulate vast amounts of data related to customers, sales opportunities, sales activities, and marketing campaigns. However, simply having access to data does not guarantee the ability to analyze it effectively. In practice, organizations often face challenges related to reporting, analyzing sales trends, or combining information from different business systems.

2026-06-23

Microsoft Power BI

Databricks and Power BI – a complete guide

Modern organizations generate vast amounts of data from ERP systems, CRM platforms, e-commerce platforms, production applications, and marketing tools. However, simply collecting data is not enough to make sound business decisions. The key lies in effective processing, integration, and presenting it in the form of clear reports.

2026-06-16

Blog

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

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

Looker Studio vs Power BI – Comparing Features, Costs, and Use Cases

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

Salesforce and Power BI integration: better data analysis, real-time reporting, and smarter business decisions.

Databricks and Power BI – a complete guide

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