Why Adopting Data Agility is Crucial to the Survival of Your Business
Data agility is measured by the speed and flexibility at which an organization can meet goals swiftly and at scale, regardless of whether it has a hybrid or …
Topic: Data management
Data Governance Concerns in the Age of AI
As more organizations make use of generative AI, there is growing concern about data governance issues that may emerge with the use of the
Atomic (Not Message) Semantic Mapping
With data atomization, retail data practitioners can separate, label, define, and use data without worrying about the peculiarities and complexities of system …
Introducing the Data-in-Motion Ecosystem Map
The Data-in-Motion Ecosystem Map shows the various moving parts of your data architecture and how they are all connected with each
DMPs are Dead: Cutting the Cord for a Brighter Future in Retail Advertising
Retailers must move away from outdated tools like data management platforms that rely on third-party data and adopt forward-thinking
Lurking in the Shadows: Why Shadow IT and ‘SaaS Sprawl’ is Creating a Headache for Organizations
The real problem with shadow IT’s use of SaaS is not whether employees should have the right to invest in SaaS applications, but how data traffic is handled.
Accelerating Business Value through DataOps
Organizations can leverage the inherent agility of DataOps to drive innovation, enhance operations, and make confident data-driven
How Migrations to Modern Data Platforms are Revolutionizing Business Intelligence
The convergence of AI and data modernization is set to redefine the future of business
3 Reasons Why Data Integrity is Everyone’s Biggest Data Challenge
Knowing that modern data stacks will only grow more complex, companies must take steps to prevent loss of data integrity and ensure the efficacy of their data …
Data as a Product Spurs the Need for a Data Development Platform
Instead of looking at data as just information somewhere in silos, you should look at data as an asset. In other words, treat data as a