Achieving an open, shared approach with partners is not easy: data, applications, operations, and capital (human, assets, and financial) for every organization are disparate of course; business processes are disconnected; and security protocols and systems are not unified. The future of industry ecosystems — an expansion of ecosystem partners that organizations must work with in support of any situation, whether innovation, product or service change, dynamic demand, or unexpected disruption — is rapidly progressing as the new way of working.
Discover how the manufacturers that used data to make decisions have best ensured resiliency in the post-COVID era.
To become an intelligent enterprise and succeed in the post-pandemic world, IDC’s Future of Intelligence predictions call for businesses to become more data driven.
There is a new generation of data native workers that can help drive better enterprise intelligence. Learn about their characteristics and benefits with IDC.
No one questions that companies should do more to get a better Return on Investment in Data (ROID) – but…
The proliferation of data types and quantities should be a major advantage for enterprise organizations. More data and more types of data should offer complex insights into challenges and opportunities in how the business runs and should lead to better decisions and business outcomes. However, ask any data analyst, and they’ll share this reality: data analysts spend a bulk of their time on search, data preparation, management, and governance activities, and not on data analytics where the true value lies.
While it is a newer technology, blockchain is already disrupting financial services, insurance, healthcare and supply chain solutions. Two main causes of this disruption are blockchain’s ability to enable disintermediation, and how it provides an immutable historical record of data. Blockchain technology itself solves many of the problems that data governance professionals, and data management technology vendors have been trying to solve for years: group consensus on the most recent version of the truth for a given entity, and full instance lineage (provenance) of the data.
While blockchain has been able to transform these solutions, forward-thinkers are asking: will blockchain have the same disruptive effect on data management? There are two main factors to consider when assessing blockchain’s potential to disrupt data integration, storage, and data integrity: