Integrated Talent Management and Learning Management Systems (ITM/LMS) need good quality data to work well. If data is corrupt, incomplete or in the wrong format – companies face considerable challenges in providing accurate reporting and analytics as well as operational issues. In addition, data issues will cause significant delays and additional costs when migrating from one ITM/LMS to another.

At MDLman, we help companies and implementation partners assess the quality of legacy data and then prepare, cleanse and reformat ITM/LMS data for a smooth migration process. Once complete, we can help maintain the quality of the data to ensure the new system performs to the expected level.

Expanding on the traditional Extract Transform Load (ETL) process, we have developed a ‘Cleanse’ step which we have applied to a number of projects and ITM/LMS providers. To find out how we can help you using this E’C’TL approach and the dramatic improvements and successes our customers have experience, please explore our website.