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.
Safyr and Salesforce data models
We often asked by customers about the differences between the static Salesforce data models provided by Salesforce, their Schema Builder and our product Safyr®.
GDPR – what’s all the fuss about?
If you are involved with data management or data governance, I am guessing you have read, or at least heard about the new European Union General Data Protection Regulations (GDPR). GDPR comes into force in May, 2018.
Introduction to the GDPR personal data challenge
Working out where computer systems store Personal Data (PD) data that needs to be reviewed in the context of compliance with the General Data Protection Regulation (GDPR) is a challenge in any environment.
Introduction to the gdpr challenge
Working out which Tables store personal data that needs to be reviewed for the General Data Protection Regulation (GDPR) is a challenge in any environment, but particularly so where the system is one or more of the big Application Packages. Typically these are systems from SAP, Oracle, Salesforce and Microsoft.
Guest blog post by Donna Burbank, Managing Director of Global Data Strategy, Ltd.
Data Governance has seen a rise in popularity in recent years, as more and more organizations see the value of data in driving business success.