Microsoft Data Fabric is a data architecture concept that enables the integration, processing, and analysis of information within a single, cohesive environment. In the Data Fabric approach, data from various systems is logically connected, regardless of whether it resides on‑premises or in the cloud. The goal is to ensure consistency, scalability, and full control over […]
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 […]
Are the data from your ERP, finance, and operations systems truly consistent within your organization? Does the management report present the same values seen by the accounting and controlling departments? It is increasingly rare to work with a single source system. Each of these sources stores data in a different structure, follows distinct business rules, and […]
The growing volume of data, the need for near real-time reporting, and the expectation of full analytical availability make traditional on-premises solutions increasingly insufficient. The cloud enables: Choosing the right platform—such as Microsoft Fabric, Snowflake, Google BigQuery, or Amazon Redshift—should not be a purely technical decision made solely by the IT department. It is a […]
A few years ago, data analysis in companies was based on a few ERP reports and an Excel file. Today, the situation looks completely different. Organizations simultaneously use ERP and CRM systems, financial and accounting systems, marketing automation tools, e‑commerce platforms, Excel files, IoT data, cloud services, and SaaS applications. Each of these sources generates […]
As the number of data sources grows and expectations around reporting increase, organizations are increasingly facing the challenge of ensuring consistency and reliability of management information. Data coming from ERP systems, finance and accounting platforms, operational tools, or Excel spreadsheets often exists in isolation, making it difficult to deliver unified business analytics. In this context, […]
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: […]
Microsoft data mesh architecture is an approach to data architecture that enables the development of decentralized analytics by shifting data ownership to domain teams while maintaining shared technological and governance standards. This model emerged as a response to the limitations of centralized data warehouses, which in large organizations increasingly struggle to keep up with the […]
Is your organization increasingly struggling with a growing volume of data coming from multiple systems? In such a situation, structuring processes, automation, and ensuring data consistency become critical. Microsoft Fabric pipelines were created precisely to streamline data flows, reduce the time needed to prepare analyses, and minimize the risk of errors resulting from manual operations. […]
PowerShell is one of the most important administrative tools in the field of Data Engineering. Its script-based approach, support for automation, and full control over the environment allow teams to complete tasks more efficiently, reduce the risk of errors, and build repeatable operational processes. In the context of Microsoft Fabric, this becomes particularly important, as […]