MPL has recently concluded a complex data migration project as part of the transition of a new account to us. There have been some serious challenges in terms of how data has been stored and maintained which have been overcome as the migration project gathered momentum.
Trusting your TPA to manage your data effectively is a key component of outsourcing, often poor integrity and structure only becomes apparent when you look to migrate data and or service provision, which can be a huge issue when managing stakeholder expectations and meeting deadlines.
However the fear of poor data structure, integrity and or quality shouldn’t be a block to transitioning service from one supplier to another.
It’s clear that, even for the most sophisticated companies, data migration can still be challenging, although the pitfalls of an unsatisfactory data migration can be avoided. Here are four common mistakes to watch out for.
1. Failing to standardise your data
Before you can migrate your data successfully, you need to assess the data you have. That means evaluating what is still relevant to your business and what can be removed. After all, there is no point wasting time and money to migrate data that holds no future value to your business.
Once you have streamlined your data, you also need to standardise it. Data inconsistency is a common issue when it comes to data migration failures.
2. Carrying over inaccurate information
Its important to cleanse your data to remove inaccurate information, which can undermine the efficacy of your new database. Data cleansing (also called ‘data cleaning’ or ‘data scrubbing’) ensures your data sets are consistent throughout by identifying incomplete or incorrect information and replacing, amending or deleting it.
3. Poor system design
It’s not enough to standardise and cleanse your data. A new system needs to be designed around your business’ needs, both now and in the future, to ensure you reap the long-term benefits.
Indeed, technical expertise is one of the best tools to ensure effective migration. MPL has an in-house team of data experts, we manage your data migration, and through very recent experience know only too well the potential disruption that an unsuccessful migration could cause.
4. Failing to test
Testing is an important part of your data migration process and should be done extensively before your new facility goes live.
It’s important to have a strong data strategy for your business and a data migration certainly shouldn’t be rushed. A good data management system can save you considerable resources and help you grow your business, while a bad one can damage anything from your reputation to your revenue.
A data migration project is about building a solution that will allow you to extract your legacy data, to transform it and eventually load it into your new system storage.
Data Transformation & Data Migration
Combining our proprietary in-house technologies and your own server or Cloud-based systems, MPL customises your data transformation and/or data migration solution according to your specific requirements - often encompassing a variety of data sources that need reformatting prior to migration into a new or existing system.
MPL recognises that every data migration/transformation project is different and do not use "off the shelf solutions", our data migration services are truly bespoke. We work with you to understand your objectives and to determine the most effective custom solution.