Systematic data management investment and effort is associated with outsized returns on data-driven initiatives, according to a newly released report on DataOps from BMC Software. Further, large amounts of organizational data frequently remain underutilized for insights due to challenges with active data management, the report states.
Released July 24, the report, titled “Putting the ‘Ops’ in DataOps: Success factors for operationalizing data,” was based on research examining organizational data management and DataOps practices. The report found there is no “one-size-fits-all approach” to data-driven practices, and that variables such as business size, geography, data management maturity, DataOps maturity, centralization or decentralization of data management and data delivery functions, and strategy to incorporate AI and machine learning into data management all influence how an organization chooses to refine its technology and processes in data-related pursuits.
Generally, both higher data management maturity and higher DataOps maturity tend to link to higher reported rates of success or adoption in other data-driven activities. For example, 75% of organizations with more mature DataOps practices report having a chief data officer, versus only 54% of those with less-mature DataOps practices. BMC defines DataOps as the application of more agile and automated approaches to data management to support data-driven business outcomes.