Tools for Data Analysis
Our data analysis tools are designed to help you at all stages of the data migration lifecycle.
Our MDLman data experts created MDLresolver to speed up and simplify the data problems they frequently encountered on various data migration projects. There are three key phases where MDLresolver can be used effectively: pre-migration; migration and production. The best time to introduce MDLresolver is at the pre-migration phase as this prevents data issues further down the line.
How it works
MDLresolver can be configured to cleanse data using a set of templates and validation rules to match those of the target LMS system.
How much data can MDLresolver handle?
MDLresolver can handle large volumes of LMS data. Each set of data is loaded directly into MDLresolver where it is analysed and validated. Any data errors are identified and reported. The reports are easy to review because data errors are grouped by type and highlighted in colour. This makes it easy to fix commonly recurring data errors in batches or with automation. The cleansed data is then reprocessed in MDLresolver until no more data anomalies are reported. The clean data is then reformatted according to specified templates ready for data load into the target LMS system.
MDLresolver has common pre-set templates for loading into the most popular LMS systems. It is flexible enough for any system – it is easy to set up bespoke templates that reflect your data.
Avoid data load failures
Once the cleansed data is in the correct format it can be exported as a CSV, TAB or Excel file ready for loading into the LMS system. Sometimes a data load fails because of incorrect formatting, MDLresolver has the added benefit of being able to set the byte order mark (BOM) to avoid this problem.