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.
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.
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.
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.
data modeL 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).
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.
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.
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.
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.
I have been reading quite a lot recently about the applicability of Agile methodologies for Data Warehousing amongst other initiatives and it appears to me that often the topic of source data analysis is under-represented in the literature and blogs so I thought I would discuss the subject of application metadata in an Agile data […]