Achieving a Successful Data Migration

The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.
  • Written By:
  • Published On:
  • (Originally Published On:) )
 
comments powered by Disqus


Featured publications:

The Shortcut Guide to Achieving Business Intelligence in Midsize Companies

This guide introduces you to the key concepts of business intelligence, including data modeling, data warehouses, online analytical processing (OLAP), and more. The author debunks many of the prevailing myths that scare small to medium businesses from investigating the use of business intelligence, and explains how the very same techniques and technologies used by massive enterprises are now available to them.
  • Written By:
  • Published On:

Self Service Business Intelligence

Self service BI is technology that provides non-technical individuals who need data with the ability to gather and display meaningful information. The technical and business complexities of identifying data sources, transforming and integrating data sets, enhancing data quality, and providing a data repository are necessarily addressed before a self service BI application is made available. Read this white paper to learn more about how the technical framework and infrastructure for supporting self service BI underlies the foundation of a successful business solution and how to approach deployment of such as solution.
  • Written By:
  • Published On:

PBX to VoIP Migration Checklist

A migration from T1/PBX (public branch exchanges) to voice over IP (VoIP) takes some planning and IT support, but the savings can be substantial. This short checklist can help get you started to make the switch to VoIP.
  • Written By:
  • Published On:

You may also be interested in these related documents:

Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond

For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.
  • Written By:
  • Published On:

A Roadmap to Data Migration Success

Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them.
  • Written By:
  • Published On:

Data Migration Best Practices

Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce the risks and costs associated with these projects. This paper offers a handy checklist of issues to consider before, during, and after migration.
  • Written By:
  • Published On: