Tuesday, December 22, 2009

Multi-Domain MDM: Kid in a candy store ?


Market is maturing from Customer Data Integration(CDI) to more holistic view of Master Data Management. Multi-domain MDM seems to be the buzz of the moment, even though when companies do not seem to have mastered the art of single domain MDM.
It is one of those conformist truisms which people will never dare contradict to your face. Go to any Business Intelligence, Master Data Management or Data Governance conference, website, blog or individual and they will all sing from the same hymn sheet here. Multi-domain is the MDM panacea.     - Duncan Slater, Accenture Information Management Services
 I could not agree more with Duncan's article on Enterprise MDM and Apple Pie. Organizations need to think through the people, process and technology aspects of MDM. It goes back to the piece I wrote about Data Governance. It is an industry which is being driven by vendors rather than the companies which need the solution. Vendors are selling big dreams for big revenue, and clients are like kid in a candy store.

The client needs to step back and evaluate their needs before they go shopping for buy-one-solve-all problems system.

Saturday, December 19, 2009

Thursday, December 17, 2009

Gartner MDM Summit - Siperian Perspective

The hot topic at the summit was multi domain MDM.

Interesting notes from the conference:
• Gartner expects the market for MDM to grow from $1.1 billion (in license revenue) in 2008 to $3 billion in 2013.
• North America is still the largest market for MDM (over 50%) followed by Europe (35%).
• IBM, SAP and Oracle control 40% of the MDM market, while specialists like Siperian control 30%.
• Analysts are saying that there’s a “land grab” on for multidomain MDM, but most vendors have yet to span master data province.

The future looks exciting.

In reference to:
- Master Data Management (MDM) Solutions - Customer Data Integration (CDI) Hub by Siperian

Friday, December 11, 2009

Data Governance – The Rock on Which MDM is Built

Andy argues that data warehousing and ERP were failed attempts to get "one version of the truth". In MDM emphasis is on business ownership of data i.e. Data governance. Well written. Having dedicated resources to take ownership from business and clear definitions of "customer" and "product" are crucial to success.

"Building a proper business case is a key element of an MDM initiative. It is only by analysing the costs of the current state of duplicate data and estimating what that is costing the business in lost orders, incorrect deliveries or invoices, misplaced inventory, inability to cross-sell or lower customer satisfaction and retention, that executives will stand up and take notice.

By building a business case around such hard data, it should be possible to get senior management attention. In some cases where this has happened, it has also been possible to gain the necessary senior level support for true data governance initiatives. Such activities, business-led rather than IT-led, involve identifying the key data and processes of a company and agreeing who should be ultimately responsible for defining business terms. Such groups also take ownership for resolving disagreements when they arise, e.g., over whose definition of “gross margin” should actually be used. Significant resources need to be assigned to such activities, not just as a one-off project basis but on a permanent basis.

The best run companies are putting in place such data governance initiatives and giving budget and power to the data governance groups that are needed to resolve definitions and resolve data quality.

An MDM project may still struggle even after data governance has been established, but if a strong data governance initiative can be built and sustained, then MDM projects have a least a chance of success."

Once data governance is resolved then also the success of an MDM team is dependent on a highly competent technical team. Companies like Infotrellis should be invited at this point to ensure successful implementation.

Companies should read this before coming up with their MDM strategy.

in reference to: BeyeNETWORK: Data Governance – The Rock on Which MDM is Built (view on Google Sidewiki)

About :

Andy Hayler - founder and CEO of The Information Difference, a boutique analyst and market research firm, advising corporations, venture capital firms and software companies. He is a regular keynote speaker at international conferences on master data management, data governance and data quality. He is also a respected restaurant critic and author (www.andyhayler.com). Andy has an award-winning blog www.andyonsoftware.com. He can be contacted at Andy.hayler@informationdifference.com.

Infotrellis - InfoTrellis provides strategic consulting to help clients define and achieve their Customer Data Integration (CDI) and Master Data Management (MDM) vision. It was founded by the team which architected and developed WebSphere Customer Center (WCC), formerly known as DWL Customer, the market leading CDI/MDM solution by IBM/DWL and in the process created the CDI/MDM space. Services provided by InfoTrellis team cover all aspects of a CDI/MDM solution lifecycle ranging from evaluating client's CDI/MDM needs, capturing detail business requirements, vendor selection, design & implementation, testing, deployment and training. info@infotrellis.com

Thursday, December 10, 2009

Data Federation Technology

This is actually one of the ways of implementing MDM(Master Data Management). The two ways:
i) Storing actual data
ii) Storing references to actual data(Data Federation)

There are pros/cons with both. So the implementation method chosen should be considered carefuly based on needs

in reference to:

"data federation technology"
- What is data federation technology? - Definition from Whatis.com (view on Google Sidewiki)

Outsourcing Your Data Warehouse

Steve makes a point. Keeping Data in house teaches a company about their data. The knowledge gained by their staff about the data while developing these applications is valuable and can assist business.

in reference to: Smart Data Collective | Outsourcing Your Data Warehouse

Master Data Management and Customer Data Integration for a Global Enterprise

I will add this to my list of reads.