The global health pandemic and subsequent economic crisis have shaken the very foundation of business. Closures, quarantine mandates, and other measures have reshaped consumer behaviors, redefined human interaction, upended traditional work environments, and created a massive, remote labor force. Amid this uncertain and ever-shifting marketplace, organizations have been forced to adapt rapidly, implementing structural changes and new operating models—and embracing digital solutions at a pace never seen.
As a result, organizations have accelerated their digital transformation e orts by several years—and a key driver is data and analytics.
Despite the rush to embrace innovation, enterprise data programs’ success is often lackluster due to data liabilities, including anything that impedes the inability to manage data from source to consumption at the speed, scale, and efficiency. But as corporations increasingly embrace data as a key asset, building an organization’s data and analytics competency is key.
In this report, we will explore:
- Why high quality, reliable data is critical to the future of your business.
- The top issues impeding data analytics programs, including data liabilities.
- The importance of DataOps and how this framework solves the data liabilities challenge.
- Critical eps for addressing your data liabilities challenge with DataOps.