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November 2004
Athena IT Solutions
 

Did you see the results of the recent IT Toolbox data warehousing/business intelligence survey? This month we discuss their findings on data warehouse and data mart consolidations.


Data Warehousing/Business Intelligence Survey ObservationsRick Sherman

by Rick Sherman, Athena IT Solutions

The 2004 ITtoolbox Data Warehousing/Business Intelligence Survey revealed that nearly half of large companies (those with more than 1000 employees) plan to consolidate their data warehouses or data marts.

Why are companies faced with consolidating the very databases that were often billed as the “single version of the truth?” What are the drivers for these consolidations?

Let’s first look at what companies are trying to consolidate. Large companies have a lot of data warehouses and data marts. Almost half (46%) of large companies had two or more data warehouses. Over half (52%) had more than five data marts with 30% having ten or more data marts.

My guess is that these numbers understate the amount of data silos throughout a company. IT departments respond to surveys like this, but IT is often unaware of all the data silos that exist. For example, a lot of operational reporting, as well as tons of spreadsheets that contain data that business users have pulled data into (or typed in) from who-knows-where fly under the IT radar. These shadow systems often are not reported in these surveys, so the extent of the data silos is even greater than these numbers imply.

What happened over the last decade to create these data silos?

 

TDWI courseSee us at TDWI for:
Establishing Information as a Corporate Asset Using a Data Integration Framework March 2005 abstract & registration

Monthly DM Review Column, The Data Integration Advisor:
Do You Need a Data Integration Center of Expertise (DICE)? (July 2004)

Architecture Standards (May 2004)

DM Review article archive

Recent Issues of Business Intelligence Briefs
Software sales slip for BI and ETL vendors (August 2004)

BI vendors are now CPM vendors! (June 2004)

Shedding Light on Data Shadow Systems (May 2004)

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Back when the economy was buzzing, a phenomenal number of projects—ERP, CRM, SCM, DW, data mart and BI—resulted in databases being built for reporting and analysis. People were so busy implementing these business systems as fast as possible to meet business demand that nobody looked at the consequences: creating data silos. Many of these projects were built under the slogan of a “single version of the truth.” It is an oxymoron to have “multiple versions of the truth,” but that is exactly what many companies built.

Now it’s time to pay the price. Of course, history does repeat itself. Will Corporate Performance Management (CPM) efforts create another slew of data silos? And how about your ERP vendor’s DW/BI/CPM solution? Et tu Bruta?

So why are people concerned with these data silos now?

As cited by almost three quarters of the respondents, the top reason for data consolidation was improvement in data consistency. Coming in second at 54% was reduction of cost and overhead. (Multiple responses were allowed.)

Data warehouse and data mart consolidation is one of those rare IT activities where you can improve efficiency while increasing the business value of the system by eliminating data silos. This double whammy is the result of a redesign of the data architecture and underlying data models to reflect a single version of the truth (provided no one else is making that claim with another project.)

Business and IT have become aware of their “sins” of the past, i.e. creating data silos with the resulting problems – inconsistent business numbers, lost business productivity trying to reconcile numbers, and high application costs to maintain redundant/overlapping systems. Government regulations such as Sarbanes Oxley have driven the business to review their systems. And the overall economic conditions have given companies an incentive to lower the total cost of ownership of many of their systems. It is ironic that as the data silos have been discovered, IT spending and resources have been constrained, making it much more difficult for them to deal effectively with these data silos.

A word of caution: companies should not seek and implement “silver bullets,” — yet another vendor solution and “single version of the truth.” The last thing they need is one more data silo to integrate later on.

[What are your reactions to the survey, and what is your company doing about consolidation? Feel free to send your feedback.]


Data Integration Advisor:
Implementing a Data Integration Center of Expertise

In my July 2004 column, "Do You Need a Data Integration Center of Expertise?," I discussed these key points:

  • You need to integrate data, not just create another version of it. Data integration is hard work, but it can and should be done.

  • Data integration problems are usually the result of people-related issues such as politics, project ownership and budgets - not technology issues.

  • Many companies don't admit or even realize they have data integration problems. They only see their investments in enterprise resource planning (ERP), customer relationship management (CRM), supply chain management (SCM) and data warehouse (DW) systems and the terabytes of data stored in them.

These key points established that reining in the proliferation of expensive, redundant data silos requires a methodical approach that includes establishing a data integration center of expertise (DICE). How do we change our approach, using a DICE, and establish data integration as a critical asset to our business?


To establish data integration as a business asset, you need to create the following:

  • Business and IT case for viewing data integration as a fundamental business problem that needs to be addressed.

  • Data integration investment portfolio with data integration as an infrastructure project across all business and IT groups.

  • Data integration center of expertise.

>>> Read the complete article online for details on these three points


White Paper Download

The following white paper is available for you to download at no cost:

Ten Principles for Increasing the Business Value of Your Data Warehouse and Business Intelligence Investments

>>>white paper abstract and order form


About Athena IT Solutions

Athena IT Solutions provides data warehousing and business intelligence consulting services to help businesses increase the return on investment of their corporate data. Athena IT Solutions founder Rick Sherman has more than 17 years of business intelligence and data warehousing experience, having worked on more than 50 implementations as an independent consultant and as a director/practice leader at a Big Five firm. He founded Athena IT Solutions, a Boston-based business intelligence and data warehousing consulting firm and is a published author, industry speaker, instructor and consultant. He can be reached at rsherman@athena-solutions.com or (617) 835-0546.

© 2004 Athena IT Solutions

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