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.
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.
In the context of Power BI HubSpot integration, it is important to understand that a CRM system is not an analytical environment — it is an operational one. This means its primary purpose is to support the daily work of sales and marketing teams, not to deliver comprehensive management-level analytics.
Just a few years ago, reporting in many organizations ended with the analysis of historical data. We reviewed last month’s sales results, the previous quarter’s margin, or the level of operating costs. The problem is that such an approach answers only one question: what happened?
In many organizations, Power BI still primarily serves as a tool for historical reporting, showing what has already happened. However, this type of data analysis is increasingly insufficient in environments where business decisions need to be made quickly, based on current and forecasted information.
