Sales performance can look very strong while a company’s profitability gradually declines. A major customer may generate high revenue but require non-standard service, frequent deliveries, and additional discounts. A product with a high gross margin may generate above-average warehousing, complaint handling, or transportation costs. Likewise, a rapidly growing sales channel may not necessarily remain the […]
The same customer may appear under three different names in a sales system, a product may have different identifiers in the warehouse and online store, and a supplier may have separate records across several subsidiaries. Management, however, needs a consistent view of the entire business. These discrepancies make it harder to assess profitability and plan […]
A company can have well-designed reports and still make decisions based on outdated information. This happens when sales, inventory, or order fulfillment data takes several hours – or until the next day – to reach the analytics environment. For executives reviewing monthly results, that delay may be acceptable. For someone managing a warehouse, deliveries, or […]
Microsoft Fabric and AI in Business Analytics: How to Prepare Data for Copilot and Predictive Models
AI can shorten the time required to prepare analyses, make it easier for managers to ask data-related questions, and help companies anticipate future events. However, these benefits will not materialize simply because an organization launches Copilot or “trains” its first model. Artificial intelligence requires consistent, up-to-date, and well-documented data, as well as an environment that […]
Data can either drive business growth or slow it down. When every department uses different KPI definitions, access is granted without clear rules, and errors only come to light during a board meeting, even the most advanced report will fail to inspire confidence. Data governance makes it possible to transform this chaos into a controlled […]
Artificial intelligence in business analytics does not start with prompts, predictive models, or impressive dashboards. It starts with data. If data is fragmented, inconsistent, poorly documented, or difficult for business users to understand, Copilot will deliver imprecise answers, and predictive models will produce outputs that are hard to trust. Microsoft Fabric addresses this challenge by […]
In many organizations today, data is collected faster than the business can analyze it. This is particularly true for manufacturing, retail, logistics, and service companies, where information comes from ERP, CRM, MES, e-commerce, financial applications, Excel files, quality systems, IoT sensors, or external databases. The problem, therefore, is not solely a lack of data but […]
In manufacturing facilities, data usually exists, but it rarely forms a single, coherent picture of the process. ERP shows the plan, orders, costs, and inventory levels; MES records production, cycle times, and downtime; and quality systems store inspection results, rejects, complaints, and non-conformities. The problem arises when each of these areas operates separately, and loss […]
In many organizations, cost and profitability analysis still takes place across several parallel processes. Finance works with data from ERP, management accounting, and budgets; operations analyzes volumes, lead times, resource utilization, complaints, and logistics; and sales looks at revenue, discounts, and margins from its own perspective. The problem arises when these areas do not converge […]
In many companies, “data” is everywhere, yet no one can say with complete certainty which reports are accurate, who is responsible for KPI definitions, or why the same indicator has three different values across three departments. This is not a technology problem—it is a problem of governance, quality, and accountability. The scale can be surprising: […]