It’s been a while since we did any new example data models, so today’s post is an attempt to rectify that with a model of the Bills of Materials tables in Microsoft Dynamics AX 2012, produced using Safyr®.
SAP data Since I first got to know the complexities of the SAP data landscape, which is more years ago than I care to mention, not a lot really changed on a year on year basis.
Data Catalogues Data catalogues have become a fast growing solution to a critical requirement of an enterprise information management strategy. This is the need to document and understand the types and uses of data across the enterprise application landscape.
Silwood Technology has launched five GDPR Starter Packs for major application packages, including SAP, JD Edwards, Microsoft Dynamics 2012, Oracle E-Business Suite and Siebel.
The screenshot below shows a list of tables from a typical JD Edwards system which has been extracted into Safyr®, in this case over 4,000 tables, which is around the number in most such systems.
This post explains how you can use Safyr® to start to build an inventory of personal data for GDPR from a Salesforce system and then to share that information; in this case in an Excel spreadsheet. The process would be similar for SAP, Oracle or Microsoft packages.
We have often been asked by customers who use SAP and SAP BW whether we could enhance our product Safyr® to show the SAP BW Extractors and the Tables they access.
Less than 1% of data could cost enterprises 4% of annual turnover in May 2018 Here at Silwood Technology, we’ve conducted research into five of the largest and most widely used application packages to understand the scale of the challenge encountered by our customers when locating personal data for GDPR compliance.
In the past we at Silwood have often referred to the ERP and CRM solutions which are the target for our metadata discovery product, Safyr®, as “Black Boxes” in terms of their underlying data models.