Enterprise analytics is not just a Power BI report. Data sources, ETL processes, data warehouse, semantic model, business rules, security, reporting, and operational monitoring must all be addressed together.
We develop Power BI reports, semantic models, DAX calculations, and management dashboards; we improve your existing reporting structures.
We combine ERP, POS, CRM, Excel and other corporate data sources into a common data platform.
We support SSAS in refresh processes, data flows, performance, monitoring, and management of operational issues.
We analyze, control and sustainably maintain the BI infrastructure developed by another consultant or team.
We prepare your data models, business terminology, data quality, and security architecture for the use of AI-powered analytics.
We offer hands-on training in Power BI, DAX, data modeling, SSAS Tabular, and business intelligence.
As BI infrastructures grow over time, the information may remain with a few people. It becomes unclear what data flow feeds what calculations, how the calculations are performed, or where performance issues stem from.
We analyze the existing structure, identify critical dependencies, document them, and make the system sustainable.
Branch, store, product, channel, customer, inventory, campaign, and profitability analytics.
Sales, product, channel, branch, region, purchasing and financial analytics.
ERP is the common analysis of production, inventory, purchasing, sales, and financial data.
Location, field team, service level, operational and cost visibility.
By protecting customer privacy, we share sample problem–approach–output scenarios from the structures we develop and operate.
Merging sales, branch, product, channel, purchasing, and financial data on a common BI platform.
Job, SSAS service resources and report renewal processes are made traceable and manageable.
The merging of different brand and branch structures into a common reporting and comparison framework.
We don't just develop reports. We address data flows, data warehouse, semantic model, security, performance, reporting, and production operations together.
Our goal is to create data platforms that are understandable, sustainable, and manageable within the organization.
To get healthy results from Microsoft Copilot, Fabric, and enterprise AI solutions, your data models, KPI definitions, relationships, and security policies must be properly created.
If you want to set up a new BI platform, improve your existing system, or take over from another consultant, let's evaluate your current situation together.