client login
Home   /   Services   /   Deploy   /   Self Service Data Discovery

Self Service Data Discovery

graphic_deploy

Deploy

Self Service Data Discovery

“We are rapidly heading towards a world of analytics everywhere. Gartner predicts that analytics/BI will reach 50 percent of potential users by 2014. By 2020, that figure will be 75” – Gartner Newsroom


The IT driven static reporting model is no longer sufficient. The dynamic nature of the current business environment requires delegated decision making, made possible from the ability to access data and prepare analysis quickly and accurately. The decision makers can no longer afford to receive latent, static and limited reports from IT to support through analysis. While end users are driving the transition to the self-service BI model, IT teams are welcoming it.

IT leadership within many organizations are partnering with their business counterparts to usher in BI Self-Service for a few reasons. Primarily, it is nearly impossible to provide static reports that can satisfy all users and their questions due to the sheer volume of BI users. As more BI users become tech savvy, they adept at data analysis and know nuances of the data better than anyone. The transition allows IT teams to focus on providing tools supporting advanced analytics, and not on producing reports without true value.


Analyze the Easy Way: Drag-and-Drop

With SAP Business Planning and Consolidation (BPC), as well as SAP Analytics Cloud (SAC), business users can visually analyze data in a drag-and-drop environment. The drag-and-drop nature removes the reliance on technical IT resources. SAP BPC excels when compared to competitors due to its native highly refined MS Excel integration.

SAP SAC offers the ability to access self-service iterative data discovery. Traditionally, consumers of data received a static report which they used to hopefully answer a business question, and then produced analysis to support a decision. Iterative data discovery is primarily visualization based, where the user explores the data via interaction with dynamic charting.