The differences between Salesforce Data Models, Schema Builder and Safyr
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, Personal Data, ERP and CRM – How I learned to stop worrying and love metadata
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.
How to find where Personal Data is stored in JD Edwards for GDPR
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.
Finding Personal Data in an SAP system for GDPR compliance
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.
The Business Value of Metadata for Data Governance
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.
Is it necessary to discover Microsoft Dynamics AX metadata?
Do you really need to discover Microsoft Dynamics AX metadata?
The answer is a definite “Yes”, because as one of the world’s most implemented ERP/CRM packaged solutions for large and medium sized enterprises it suffers from the same metadata challenge as SAP, Oracle, and increasingly Salesforce systems. (According to Panorama Consulting Solutions’ most recent survey,
Data discovery – the step before extraction
What comes before data extraction? In any data intensive project be it a data warehouse, data migration, master data there is a data discovery phase which has to be completed before any movement of data can be performed.
Where’s the data? Avoiding data integration errors
Top 3 Data Integration mistakes
I saw a fascinating post by David Linthicum on the Informatica Blog recently in which he discussed the Top 3 Data Integration mistakes which companies make and how to avoid them.
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