Is your organization considering implementing Microsoft Fabric and wondering whether it requires parallel use of Microsoft Azure? This is one of the most common questions that arises during the data architecture planning phase in companies. From a business perspective, it is crucial to understand: In this article, we analyze these topics in a practical way, […]
The growing number of systems such as ERP, financial systems, CRM, marketing tools, or Excel files makes data management increasingly complex. As a result, business teams make decisions based on incomplete or inconsistent information, which directly impacts operational efficiency and financial performance. From a Data Engineer’s perspective, the key challenge is designing an environment that: […]
Is Microsoft Fabric similar to Alteryx? This question appears more and more often in organizations developing their capabilities in Business Intelligence and modern data analytics. At first glance, both tools may seem alike: they enable working with data, transforming it, and analyzing it. However, in practice, their roles within a company’s data architecture differ significantly. […]
Organizations collect vast amounts of data from various systems from ERP and financial‑accounting tools to Excel sheets and marketing platforms. However, access to data alone does not automatically generate business value. What matters is the ability to analyze it properly, enabling companies to identify changes over time and make better business decisions. One of the […]
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 […]
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, […]
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 […]