How well do you know your JD Edwards data?

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Getting to know your JD Edwards data

Trying to get a comprehensive and accurate picture of your JD Edwards data is a bit like attempting to complete a jigsaw puzzle without being able to turn over the pieces to see their individual colors and how they relate to each other. It takes ages and the results are probably wrong!

This blog covers the 3 challenges you face when trying to get to know and utilize your JD Edwards data. It will also show you how you can use Safyr to overcome those challenges and get more from your JD Edwards data.

  1. Where can you find out where the JD Edwards data you need is located?
  2. How do you find the data that really matters for your project?
  3. How do you use that information in other tools to support your project?

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Using metadata discovery to break down JD Edwards data silos

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Amongst all the ERP and CRM packaged applications we support for metadata discovery it might on the surface seem surprising that the level of interest for Safyr with Oracle’s JD Edwards EnterpriseOne system is close behind SAP and Salesforce.

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How to find Personal Data in JD Edwards for GDPR Compliance

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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.

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Tested: 5 ERP and CRM packages evaluated for GDPR personal data

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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.

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Metadata

Where’s the data? Avoiding data integration errors

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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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Download sample data models for SAP, Salesforce and Oracle packages

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Of all the blogs we’ve written here at Silwood, by far the most popular are the ones that are about specific Data Models for SAP, Salesforce and Oracle packages (JD Edwards, E-Business Suite, Siebel and PeopleSoft).

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Why do Salesforce applications need Safyr to help the understanding of their metadata?

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We’ve been surprised (pleasantly I might add) at the response we have received to the introduction of Safyr’s capability to reverse engineer metadata from Salesforce systems.

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Analytics and Profiling are two types of Data Discovery

“So what your product, Safyr, does is Data Discovery – Right?”

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Well…er…Yes, and No.   We get this comment lots of times.  It’s sometimes hard to explain the difference.  Strictly speaking, we do ‘metadata discovery’. I like analogies.

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Trying to find your way around the data model for an ERP or CRM application without some form of accurate guide is a bit like trying to navigate from one part of London to another using the Underground without a map which has details of the stations, lines and intersections.

The role of application metadata in a Master Data implementation

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We would like to congratulate IBM, Informatica, SAP and Oracle on their continued strong showing in the latest Gartner Magic Quadrant for Master Data Management (MDM) of Customer Data Solutions.

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Salesforce Opportunity data model in CA ERwin format

Application data model examples

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We’ve had quite a bit of interest in our application data model examples from ERPs over the last few months.  A number of people have said that they don’t have a modelling tool easily accessible and therefore can’t see what the diagrams look like, which is a fair point.

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