Data Migration: re-engineering data for optimized value
Businesses spend billions of dollars migrating data between information-intensive applications. Yet up to 75% of new systems fail to meet expectations, often because flaws in the migration process result in data that is not adequately validated for the intended task.
Because the system itself is seen as the investment, any data migration effort is often viewed as a necessary but unfortunate cost, leading to an over-simplified, under-funded approach. With an understanding of the hidden challenges, managing the migration as part of the investment is much more likely to deliver accurate data that supports the needs of the business and mitigates the risk of delays, budget over-runs and scope reductions that can arise.