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Category: Oracle

20th February 2018

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

Categories: GDPR, JD Edwards, Microsoft Dynamics AX, Oracle, SAP, Siebel

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. It is vital to […]

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18th October 2016

Data discovery – the step before extraction

Categories: Data Discovery, Data Management, Data Model Enterprise Information Management, Data Warehouse, Enterprise Application, Enterprise Metadata Management, Metadata discovery, Oracle, Salesforce, SAP

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.  This is what used to be called source data analysis and is in modern parlance more likely […]

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7th September 2016

Where’s the data? Avoiding data integration errors

Categories: Data, Data and Application integration, Data Discovery, Data Model Enterprise Information Management, Enterprise Information Management, JD Edwards, Metadata, Metadata discovery, Oracle, PeopleSoft, Safyr, Salesforce, SAP

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. One of these is essentially being unable to answer the question ‘Where’s the data and what does it mean?’ For the sake […]

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29th June 2016

Download sample data models for SAP, Salesforce and Oracle packages

Categories: Data, Data Discovery, Data Model Enterprise Information Management, Enterprise Application, Enterprise Metadata Management, JD Edwards, Metadata, Oracle, PeopleSoft, Safyr, Salesforce, SAP, Siebel

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 done a number of these over the last year or two. For example we wrote about […]

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1st July 2015

Ever wondered how you could create an Oracle eBusiness Suite General Ledger Data Model?

Categories: Data, Data Management, Data Model Enterprise Information Management, Enterprise Application, Enterprise Information Management, Enterprise Metadata Management, Metadata, Metadata discovery, Oracle, Safyr

This is the latest in an occasional series of data models which will give some insight into those common business areas in SAP and ORACLE applications for which data models are often required for Information Management projects. It’s a group of tables in the form of a data model from an Oracle Enterprise Business Suite system showing a […]

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11th May 2015

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

Categories: Data, Data and Application integration, Data Discovery, Data Governance, Data Management, Data Model, Enterprise Information Management, JD Edwards, Metadata, Oracle, PeopleSoft, Safyr, Salesforce, SAP

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. It is rapidly becoming our second most popular ‘package’, SAP of course being number one. Why should this be?   All the other environments we support (SAP, JD Edwards, Oracle […]

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18th December 2014

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

Categories: Data and Application integration, Data Discovery, Data Model Enterprise Information Management, Enterprise Application, Enterprise Metadata Management, JD Edwards, Metadata discovery, Oracle, PeopleSoft, Salesforce, SAP, Siebel

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.  Imagine I’ve moved to a new town and I want to know the location of the nearest Supermarket, Post Office, ATM, etc.   What do I do? I can ask […]

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10th December 2014

The role of application metadata in a Master Data implementation

Categories: Data Governance, Data Model Enterprise Information Management, Enterprise Application, JD Edwards, Master Data Management, Metadata discovery, Oracle, PeopleSoft, Salesforce, SAP

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 am not going to spend time restating the benefits that organisations can reap from a properly implemented Master Data strategy in terms of increased revenues […]

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26th November 2014

Application metadata in an Agile Data Warehouse world

Categories: Agile, Data, Data Model, Data Warehouse, Enterprise Metadata Management, JD Edwards, Oracle, PeopleSoft, Salesforce, SAP, Siebel

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 […]

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9th December 2013

Perhaps it is time to start acknowledging the challenge of source data analysis?

Categories: Business Process, Data and Application integration, Data Model Enterprise Information Management, Data Warehouse, Enterprise Information Management, JD Edwards, Oracle, PeopleSoft, Safyr, SAP, SAP HANA, Siebel

“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. […]

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