Portals eNewsletters Web Seminars dataWarehouse.com DM Review Magazine
DM Review | Covering Business Intelligence, Integration & Analytics
   Covering Business Intelligence, Integration & Analytics Advanced Search
advertisement

RESOURCE PORTALS
View all Portals

WEB SEMINARS
Scheduled Events

RESEARCH VAULT
White Paper Library
Research Papers

CAREERZONE
View Job Listings
Post a job

Advertisement

INFORMATION CENTER
DM Review Home
Newsletters
Current Magazine Issue
Magazine Archives
Online Columnists
Ask the Experts
Industry News
Search DM Review

GENERAL RESOURCES
Bookstore
Buyer's Guide
Glossary
Industry Events Calendar
Monthly Product Guides
Software Demo Lab
Vendor Listings

DM REVIEW
About Us
Press Releases
Awards
Advertising/Media Kit
Reprints
Magazine Subscriptions
Editorial Calendar
Contact Us
Customer Service

Meta Data and Data Administration:
Meta Data Repository Project Plan: The Rollout Phase

  Column published in DM Review Magazine
July 2001 Issue
 
  By David Marco

This column is the final installment of the five fundamental phases of a project plan to build a meta data repository. This month we will complete the rollout phase.

The rollout phase is the final step of the meta data repository development effort. Three key tasks occur during this phase (see Figure 1). First, and most importantly, the repository is rolled into production and is accessible to both its technical and business users (Task ID 5.1). Second, the meta data repository team, the project champion and key executive management conduct a post-implementation review to compare the meta data repository with the objectives of the original project scope document (Task ID 5.2). If the live repository matches the scope document and any change requests that were approved during the development phase, you should have a very successful project on your hands (assuming you did a good job on your scope document). If there are differences between the scope document and the repository, the review should reveal where and how the discrepancies occurred and determine what positive/negative effects (if any) they had on the ultimate success of the project. Of course, the results of the review should be thoroughly documented; and, if possible, the results of the project quantified. This information is extremely helpful in obtaining funds for subsequent project releases. Finally, this is the time to begin planning for the next release of the repository project using the original project scope document and the meta data integration architecture document as the foundation for the second release.

There are two tasks that I have not listed in the project plan for the rollout phase: post-implementation support and the victory celebration. First, any time a new system is moved into production, it is highly probable that its users will identify errors or minor enhancements. Therefore, it is wise to make sure that you have properly planned for post-implementation support. Second, assuming that the meta data repository has been a big success, it is vital to take your staff out to celebrate the success of the project. The days of assembling an information technology (IT) staff and keeping them together for 10 years or more are over. People will stay at your company and on your team if they feel they are part of something valuable. Many of us spend more time at work than with our families. If you believe that the time you spend at work is only about the money that you earn, it won't be long before you are looking for other work. Take the team out early on a Friday and visit a local food establishment. If you are the project leader, make sure to thank everyone for the great success of the project.

We have now completed walking through an entire project plan for a meta data repository initiative. I hope you have found this series informative and valuable as you begin your project. I want all of you to be successful in your meta data initiatives. Remember that building a meta data repository is not easy. Moreover, there is no such thing as an easy major IT initiative. Look at data warehousing, customer relationship management (CRM), enterprise resource planning (ERP) or e-commerce and tell me if you consider any of these projects easy. While building a meta data repository is not easy, if you are dedicated, don't cut corners, surround yourself with good people and believe in yourself, you'll experience great success.

Note: This column is adapted from my book Building and Managing the Meta Data Repository (Wiley, 2000). The complete project plan is available on the accompanying CD-ROM.

...............................................................................

Check out DMReview.com's resource portals for additional related content, white papers, books and other resources.

David Marco is an internationally recognized expert in the fields of enterprise architecture, data warehousing and business intelligence and is the world's foremost authority on meta data. He is the author of Universal Meta Data Models (Wiley, 2004) and Building and Managing the Meta Data Repository: A Full Life-Cycle Guide (Wiley, 2000). Marco has taught at the University of Chicago and DePaul University, and in 2004 he was selected to the prestigious Crain's Chicago Business "Top 40 Under 40."  He is the founder and president of Enterprise Warehousing Solutions, Inc., a GSA schedule and Chicago-headquartered strategic partner and systems integrator dedicated to providing companies and large government agencies with best-in-class business intelligence solutions using data warehousing and meta data repository technologies. He may be reached at (866) EWS-1100 or via e-mail at DMarco@EWSolutions.com.

Solutions Marketplace
Provided by IndustryBrains

Data Validation Tools: FREE Trial
Protect against fraud, waste and excess marketing costs by cleaning your customer database of inaccurate, incomplete or undeliverable addresses. Add on phone check, name parsing and geo-coding as needed. FREE trial of Data Quality dev tools here.

Recover SQL Server or Exchange in minutes
FREE WHITE PAPER. Recover SQL Server, Exchange or NTFS data within minutes with TimeSpring?s continuous data protection (CDP) software. No protection gaps, no scheduling requirements, no backup related slowdowns and no backup windows to manage.

Speed Databases 2500% - World's Fastest Storage
Faster databases support more concurrent users and handle more simultaneous transactions. Register for FREE whitepaper, Increase Application Performance With Solid State Disk. Texas Memory Systems - makers of the World's Fastest Storage

Design Databases with ER/Studio: Free Trial
ER/Studio delivers next-generation data modeling. Multiple, distinct physical models based on a single logical model give you the tools you need to manage complex database environments and critical metadata in an intuitive user interface.

Free EII Buyer's Guide
Understand EII - Trends. Tech. Apps. Calculate ROI. Download Now.

Click here to advertise in this space


View Full Issue View Full Magazine Issue
E-mail This Column E-Mail This Column
Printer Friendly Version Printer-Friendly Version
Related Content Related Content
Request Reprints Request Reprints
Advertisement
advertisement
Site Map Terms of Use Privacy Policy
SourceMedia (c) 2006 DM Review and SourceMedia, Inc. All rights reserved.
SourceMedia is an Investcorp company.
Use, duplication, or sale of this service, or data contained herein, is strictly prohibited.