Funding systematic knowledge administration and energy yields substantial returns on data-driven initiatives, according to a recently released report by BMC Software on DataOps. Despite possessing vast amounts of organisational knowledge, companies continually struggle to unlock its full potential due to difficulties in effectively managing and leveraging this valuable resource?
Released on July 24, the “Report Title?” drew primarily from an examination of best practices in organizational knowledge management and DataOps. The report found that no single approach can be applied universally to data-driven practices, as various factors such as enterprise dimension, geography, knowledge management maturity, DataOps maturity, centralization or decentralization of knowledge management, and approaches to integrating AI and machine learning into knowledge management significantly impact how a company decides to refine its skills and processes in data-related pursuits?
As organizational knowledge management maturity increases and DataOps capabilities mature, there is a strong correlation between these advancements and higher reported rates of success or adoption in various data-driven initiatives. Organizations with more established DataOps cultures are significantly more likely to have appointed a chief knowledge officer, with this metric standing at 75%, compared to just 54% for those with less mature practices. BMC describes DataOps as the application of extra-agile and automated approaches to knowledge management to support data-driven business outcomes.
