Eliminate the gap between your applications and analytics (Part 2 of 2)
In Part one of this series we explored the value of combining Dynamics data with other data sources - activity analysis, closed-loop reporting, generating more profitable customers, and creating consolidated dashboards of KPIs.
Traditionally, blending data has required ETL, which can stall analytics indefinitely. To query or visualize data, BI tools must connect to a data warehouse. And ETL often loads data into many silos, forcing data analysts to either analyze sources discretely or combine them manually -- a tedious and time-consuming task.