Data volumes are growing at staggering rates, and IT organizations are struggling to manage the flood of data even as processing windows continue to shrink. Increasingly, IT is turning to data integration tools to help them harness all that information for proven business benefit. But there’s a catch: Many customers are dissatisfied with their legacy data integration tools because of performance bottlenecks that are forcing them to turn to cumbersome and expensive workarounds, such as data staging, data tuning and hand-coded solutions.  These workarounds are in direct conflict with their goal of driving more value from that data for their organizations.

New research from TechTarget’s BeyeNETWORK points out the many challenges being faced by organizations trying to make their data integration tools do more, while protecting and extending the economic value of their existing investments. In particular, the findings from more than 350 IT professionals sheds light on the negative impact that data integration performance problems place on organizations’ ability to achieve their critical business objectives, as well as other challenges they hope to overcome in order to derive greater value from those DI tools. Learn about the most pressing data integration challenges faced by companies today, the approaches they are taking to overcome them, and why performance is being used as the new benchmark for success.