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.
Users of Excel who begin working with Power BI very often ask one question: is Power Pivot available in Power BI? The answer is: yes, but not in the same form we know from Excel. Moreover, many of the features used in Power Pivot form the foundation of data modeling in Power BI.
Modern organizations generate vast amounts of data from a variety of sources—web applications, e-commerce platforms, marketing tools, and IoT systems.
Microsoft Fabric was created to integrate the entire data ecosystem into a single platform. It is a comprehensive SaaS (Software as a Service) analytics solution that enables organizations to execute the full data lifecycle — from data integration, through transformation and processing, to reporting and real-time analytics.
Is your organization’s data scattered across multiple tools, with reporting requiring manual consolidation from various sources? This is a common scenario in many companies, especially where operational teams rely on Google Sheets as a quick and flexible data tool.
Are the data in your organization scattered across various systems such as ERP, Excel, marketing tools, or SharePoint? If so, there is a high risk that reporting does not reflect the full picture of the business situation. A lack of data integration often leads to inconsistencies, errors, and longer decision‑making times.
Does your organization use Oracle systems, but still lack a unified view of information in reports? In many companies, data is scattered across ERP, financial, and operational systems, making effective analysis and decision‑making difficult.
Many organizations work with business data that contains a location component — customer addresses, cities, regions, postal codes or coordinates. Yet these data points are often analyzed only in tables and charts, without considering the spatial context.
Data from an ERP system such as Business Central reflects operations but does not always support managerial decision‑making. Standard reports focus on transactions rather than KPI analysis or trends. To transform ERP data into real business decision support, it is necessary to model and visualize the data in a BI tool while incorporating the company’s business logic.
The flexible infrastructure of the AWS environment enables resource scaling, yet data availability alone does not guarantee effective use in decision‑making processes. This is where the need for a thoughtful integration of AWS and Power BI as a complete analytical layer emerges.
