How DecisionPoint works

Connect to any amount of data

Work directly against your existing data sources

Connect directly to your existing Data Warehouses, Data Marts, Operational Systems, OLAP cubes, cloud data or local data (e.g. Excel spreadsheets), with no intermediate steps, no need to change or manipulate the underlying data structures and no need to shoehorn your data into a proprietary database. Simply re-use your existing queries – even hook into existing SAP BusinessObjects content – to get up and running straight away.

Share data sets for consistent decision making

Re-use the same data set across multiple dashboards to ensure your business users make consistent decisions based on a shared single version of the truth. Enrich your data with:

  • Custom columns to add objects that aren't in the query or need to be calculated at display time (e.g. ratios and percentages for key performance indicators)
  • Presentation formats which are applied consistently across multiple dashboards
  • Hierarchies to support drill paths

Merge multiple data sources to give business users the big picture

If your business users need a view across multiple data sources (e.g. because their actuals are in your operational system and their budgets are in Excel), DecisionPoint helps you merge these sources to create a consolidated view, so decision-makers always have all the information they need available in their dashboard.

Refresh data in real-time or against a schedule

  • Refresh data every time a dashboard is opened, (e.g. to track today's on-time delivery rates in your supply chain)
  • Manual refresh triggered by the user , e.g. by pressing a button in their dashboard
  • Cache data on the server for a period of time (e.g. 1 hour) after the first user refreshes
  • Schedule a periodic refresh (e.g. daily, weekly) and cache on the server for less volatile data
  • Automatic, periodic refresh (e.g. every 5 minutes) which can be useful for wall-mounted operational dashboards

Balance fast response times and large data volumes

To balance great response times with the ability to work with large data volumes, DecisionPoint uses Advanced Cooperative Processing (ACP). ACP pushes as much data storage and processing as possible down to the client device – after all, desktop PCs and tablets are powerful devices. For regular data volumes, the entire results set can be downloaded to the client, so everything happens locally and your users enjoy blisteringly fast response times. With larger data volumes, drilling and filtering can be delegated to the server. So, as a business user drills through their data DecisionPoint fetches additional subsets of data from where it is cached on the server to ensure people always see the right information at the right level of detail.

Works hand-in-glove with Big Data databases

With high–performance, Big Data databases DecisionPoint can delegate drill and filtering directly to the source, bypassing its own server cache. This allows users to roam over enormous data sets while still enjoying great performance. Uniquely, thanks to ACP, DecisionPoint dynamically generates the queries needed to retrieve each subset of data on the fly. So, you can use all the power of your Big Data database without having to create and maintain a mountain of queries – now that's a huge time–saver.

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