New research has revealed that 75% of data teams believe that outdated migration and maintenance processes are costing their organizations time, productivity and money.
The research, conducted on behalf of Matillion by independent research firm Vanson Bourne, suggests this problem potentially comes at an annual price tag of up to US$43.5 million.
The survey of 450 data decision-makers and data team members across the US and UK found that data teams report spending 57% of their time, on average, on data migration and maintenance.
This is in addition to depriving data teams of time and labor that could be spent on strategic and analytical work.
“Despite the acceleration of Digital Transformation over the past 18 months and high volume of data entering the enterprise, the survey results reveal that data integration practices remain outdated and primitive – creating tension among data teams and leaders and information gaps across the enterprise,” said Matthew Scullion, CEO of Matillion.
“In order to harness the power of data as a strategic asset, organizations need to reduce the time spent on manually refining, migrating and integrating data and the maintenance of those integration tasks. It’s critical for leaders to unburden data teams, increase their productivity, and widen the profile of users able to make data useful. Only in this way will they be able to respond to their businesses with the speed and agility they require and demand.”