As you may know, Safyr® extracts metadata from a range of application packages including PeopleSoft which has many related modules including PeopleSoft Pension Processing.
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).
This is the latest in our occasional series of data models which we have produced using Safyr®. These give some insight into those common business areas in SAP and ORACLE applications for which an understanding of how the underlying metadata is structured are often required for Information Management projects.
PeopleSoft Financials data model
Here is another in our occasional series of data models of those common business areas in SAP and ORACLE applications for which data models are often required for Information Management projects.
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.
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 warehouse world.
“Garbage out, garbage in”
I know, I know I have got that the wrong way round. Well, actually I did it on purpose to illustrate a problem with BI/Data Warehousing projects and incidentally many other Information Management initiatives. That problem is the challenge of source data analysis – particularly with SAP, Oracle and Salesforce packages.