Companies often view data migration as an unavoidable and rather unexciting step in building the right environment for a new enterprise application. But these projects are often far more complicated—and expensive—than companies anticipate, creating additional data problems and costing far more than was originally budgeted.
Why does data cause application migrations to fail?
Industry researchers, like Gartner and META Group, agree that companies often make mistakes in initial assumptions, both about the integrity of the source data and what an ETL (Extract, Transform, Load) tool can do about it.
Data migrations are integral to any large projects
This whitepaper explains how automated data profiling can reduce project risks by uncovering hidden data issues at an early stage in project planning., allowing you to accommodate them at the design stage, and plan to address any issues.
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