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Category: Data and Application integration

9th November 2016

Is it necessary to discover Microsoft Dynamics AX metadata?

Categories: Data, Data and Application integration, Data Discovery, Data Model Enterprise Information Management, Enterprise Metadata Management, Microsoft Dynamics AX

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, […]

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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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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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24th February 2015

Modelling Salesforce application tables with Safyr and Microsoft Visio – a worked example

Categories: Data, Data and Application integration, Data Discovery, Data Model Enterprise Information Management, Enterprise Metadata Management, Metadata discovery, MIcrosoft Visio, Safyr, Salesforce

This is the latest in an occasional series of data models based upon the packaged application we support with our Safyr product. It is an example of modelling Salesforce application tables with Safyr. Many of our customers and partners are increasingly using Salesforce as an enterprise system of record and of course with the addition […]

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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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22nd October 2014

Applications, applications everywhere? And never the data to find?

Categories: Data, Data and Application integration, Data Model, Data Model Enterprise Information Management, Enterprise Application, Enterprise Information Management, Enterprise Metadata Management, Safyr

We’ve been providing a solution to get metadata out of ERP and CRM applications for quite a few years now and a common question over that period has been some variation of:  “It’s great what you do for SAP (PeopleSoft, Siebel, etc…) – now tell me, can you do the same for our other packaged […]

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30th April 2014

Coming soon….Safyr for Salesforce

Categories: Data, Data and Application integration, Data Model Enterprise Information Management, Enterprise Application, Enterprise Information Management, Enterprise Metadata Management, Metadata discovery, Safyr, Salesforce

We’re going to be adding Safyr® for Salesforce capability to our product in the next release (due June 2014) so I wanted to give a taste of what this will deliver. Salesforce is much smaller than SAP or the Oracle apps in terms of the number of tables, but can still be challenging to understand […]

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13th February 2014

Are complex ERP data models holding organisations back or helping them move forward?

Categories: Business Process, Data, Data and Application integration, Data Model Enterprise Information Management, Enterprise Metadata Management, Metadata discovery

According to a recent report by leading analyst firm Gartner, heavily customised ERP (Enterprise Resource Planning) systems will have achieved the status of ‘legacy ERP,’ by 2016. In addition they suggest that as more agile, flexible competitors enter the market and mature, CIO’s will need to plan on what to do with their ‘legacy ERPs’. […]

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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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5th July 2013

Data vs Process: “This house believes that there is no such thing as ‘Process’ in a computer system, there is only ‘Data’.”

Categories: Big Data, Business Process, Data, Data and Application integration, Data Warehouse, Enterprise Information Management, Enterprise Metadata Management, Master Data Management, Metadata discovery

  I realise this might be controversial but I do believe it.  IT professionals have long talked about Process Modelling as the way to understand what a complex system does, while Data Modelling tends to be seen as the ‘Cinderella’ of the modelling world. But Process is merely the moving around of data.  When all […]

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19th June 2013

The traditional view is that metadata is boring and complex and should be left to technicians – perhaps it is time to think differently!

Categories: Data and Application integration, Data Lineage, Data Warehouse, Enterprise Application, Enterprise Information Management, Enterprise Metadata Management, Master Data Management, Metadata discovery, Safyr

Metadata is boring and complex and should only be of interest to technical specialists and geeks! Well, that is a commonly held view; however in today’s environment where exploiting data, in the form of Data Warehouse, Business Intelligence and Analytics, Master Data Management, Big Data, Data Governance and even Enterprise Architecture initiatives, is becoming more critical […]

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19th August 2011

Big Process and Big Data

Categories: Big Data, Data and Application integration, Data Warehouse, Enterprise Application, Saphir

I’ve just been reading what Clay Richardson over at Forrester is saying around putting data and BI closer to the sharp end of business. http://searchbusinessanalytics.techtarget.com/news/2240037726/Process-intelligence-gains-momentum-at-the-intersection-of-BI-and-BPM?asrc=EM_NLN_14612906&track=NL-544&ad=844365 I am also aware of some of his other work where he talks about Process and Data folks not talking to each other and causing real problems for the business. […]

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5th August 2011

SAP data model design and HANA

Categories: Data and Application integration, Data Warehouse, SAP, Saphir

I just commented on a fascinating article http://www.sdn.sap.com/irj/scn/weblogs?blog=/pub/wlg/25147 by Jamie Oswald over on the SAP Community Network that relates to my earlier blog on BI and complex data environments. He amusingly points up the data model optimisation “battle lines” between the BI and developer communities. I quote… “Why are transactional data models really hard to […]

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