Many IT professionals believe that data transformation and mapping are “solved problems”. After all, mapping tools have been around for over 20 years, and thousands of IT organizations use them in integration projects every day. “If it ain’t broke, don’t fix it”, right?
What belies that attitude are the missed integration project deadlines, runtime exceptions, customer chargebacks, vendor scorecard deductions and other business problems that can be traced to data transformation mapping practices. Mapping is also the single most costly integration activity, accounting for up to 75% of some integration project costs. Yet few project teams focus attention on ways to improve mapping efficiency and accuracy. Continue reading