Industry experts agree that Data Migration poses the largest risk in any implementation. The findings are the same across platforms (SAP, Oracle, Workday, etc), infrastructure model (Cloud, On-Premise) and module (ERP, HCM, MRP, etc). There are countless stories of implementations suffering delays, overruns, and even outright failure stemming from Data Migration problems.
Organizations often do not realize the complexity of Data Migration. Executives often feel that this is, or should be, a simple task, leading to the fatal oversimplification of "It's just moving data.” This mindset is a leading cause of subsequent problems.
“More than 80% of Data Migration projects run over time and/or over budget. Cost overruns average 30%. Time overruns average 41%.”
— The Bloor Group
Underestimation leads organizations to approach Data Migration as if it were no different than a Data Integration project, tackling it with traditional ETL (Extract, Transform, Load) tools.
While ETL tools and methodologies are sufficient for Data Integrations, they fall short in adequately meeting the increased complexity and additional requirements of Data Migration.
To eliminate the risk of failure that Gartner, Bloor, and other industry pundits have identified, a different type of tool and approach is needed. To successfully navigate the complexities of Data Migration, an EPACTL (Extract, Profile, Analyze, Cleanse, Transform, Load) solution is recommended.
EPACTL is designed to complete each component activity required by a Data Migration. One team using one software product handles all data needs, from the initial extraction through the post conversion reconciliation:
Data Migration projects tend to reflect a high level of complexity. Having a unified EPACTL approach enables the successful management and implementation of these requirements and significantly reduces the risk of the Data Migration.