New functionality in dab:Exporter Version 3 – Target format Microsoft SQL Server™
Over the last couple of years we have noticed the development in data analytics that the need for flexibility got more and more important. This is reflected in several areas:
- Data analytics are no longer used exclusively by Internal Audit, as more and more business units are using it as well. One of the requirements for that is an integrated data pool that can be accessed company-wide, which works as a common base for all data analytic efforts.
- Instead of having a data analytic tool installed locally, more and more client/server solutions, CCM- or GRC-tools are in place because of the bigger amounts of data and the teamwork that is necessary when it comes to data analytics. These more advanced tools offer a bundle of advanced options, like for example Dashboarding or Exception Management components.
- In addition to “traditional” data analytic solutions like ACL™, other “data-related” software like Process-Mining tools is entering the market. However these tools require the data to be structured in a certain way, best case in a database.
We prepared for this trend by adding in version 3 of our data extraction solution dab:Exporter the new target format Microsoft SQL Server™.
Data can be extracted from SAP® and put directly in a Microsoft SQL Database in a high-performance way. This allows you to create a database in every sense of the word: You can build data repositories which act as base company-wide and for different data-related solutions like CCM, GRC, Dashboarding, Exception Management or Process-Mining tools. The following video visualizes the concept and benefits that come with new target format. It contains a spoken comment as well as subtitles, so feel free to use the menu of the video player to turn on what suits you best.
In case you missed the dab:Exporter Version 3 Feature Highlights, we already introduced them here last week: Feature Highlights dab:Exporter Version 3.
For any comments on this article, feel free to write us at info@dab-gmbh.de. To contact the author you can also use LinkedIn or XING (you may have to login first before you can access these links).
LinkedIn: http://de.linkedin.com/pub/stefan-wenig/54/1b8/b30