Data analytics
Data analytics in D365 represents the integrated suite of business intelligence tools, semantic data models, and big data processing frameworks used to synthesize massive corporate transactional records into actionable strategic insights. By querying relational cloud tables across financial, human resource, and supply chain subledgers, it computes predictive trend metrics to optimize corporate velocity.
How does D365 run cloud data analytics across multi-company containers?
Incorporating a comprehensive corporate data analytics framework transforms transactional record logging from a passive compliance tracking chore into a proactive driver of organizational growth. Rather than forcing accounting desks or marketing teams to perform manual, retroactive spreadsheet matches across disconnected tools, the data platform aggregates transaction actuals automatically.
The system maps multi-channel retail checkouts, wholesale procurement lines, and customer engagement tables into a single analytical tier behind the scenes. This unified visualization allows cost controllers to calculate exact customer lifetime value (CLV) scores and cost-per-acquisition metrics dynamically, providing corporate leadership with an unalterable single source of truth to guide future campaign budgets.
Extracting strategic intelligence from massive, unstructured cloud data repositories requires an advanced semantic presentation tier. To convert these extensive cloud data stores into clean, interactive multi-dimensional visual maps, linking your data pipelines to Microsoft Power BI dashboards is the recommended best practice.
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Who are we?
We're DeliveredSoft, an Microsoft Dynamics 365 Partner based in Europe. With experts in Poland, Denmark and Spain, we build custom solutions using Microsoft Dynamics 365 for clients across a range of industries.