Business in general and Communication Service Providers (CSPs) in particular spend millions in acquiring and parameterizing new systems. Data migration, on the other hand, is normally considered just another project deliverable, with low budget allocation and fewer resources. A mindset which may explain why, according to Gartner and the Standish Group, “67% of all data migration projects cause implementation delays, large overruns, or fail outright”.
Choosing the new platform seems to be a strategic decision, much more critical than ensuring that the data that populates it is fit for the purpose. There is also a tendency to underestimate its complexity - data migration is a critical process in any IT project, normally the final stage and a milestone that can determine the project’s success or failure.
Mission critical systems, such as CRM or Billing, have their own data models and associated business logic. The new deployment of any of these systems has a deep impact on the overall IT architecture but also on operations and customer care.
Data migration, in this scenario, is pivotal to ensure business stability but also an opportunity to review inaccuracies, unknowns, redundant and duplicate data.
Why is data migration becoming more complex?
- Business growth
- IT complexity
- Increased data volume
Data Migration pitfalls to avoid:
- Involve business users
- Establish a strong Data Governance structure
- Assess legacy systems data quality
- Define a migration validation and test process
How we do it
Determining the strategy that best suits the objective before initiating any migration process is crucial.