…line-of-business leaders spent less time getting data and more time acting upon it?
…analysts spent less time munging data and more time analyzing?
…managers managed data-workflow outcomes as diligently as they managed business-workflow outcomes?
Enterprise digital transformation offers the promise of data-driven value delivery. But without a DataOps approach, data-progressive organizations run the risk of burdening data-driven initiatives with archaic processes, risk-averse culture, and out-of-date functional roles.
A successful enterprise digital transformation and—more importantly–an effective DataOps approach both require a new way of thinking about those traditional functional roles. Data consumption functions must evolve to accommodate more data and more insight. Data management roles must adapt to deliver and broker data, and manage comprehensive end-to-end data workflows through the organization. Finally, measurement must start with value, enabling data managers to work backwards through the enterprise to maximize that value delivery with the right data in the right place at the right time via a dynamic, continuously-improving process.
To read the rest of this report, please fill out the download form.