Data may be essential to the effective operation of every business, but not all businesses are created equal when it comes to the capacity to capitalize on data. As impressive as it may be to read ...
Use this list of best practices for establishing and maintaining data governance within your organization. The volume of data that the world produces has risen exponentially in recent years. In 2020, ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
A resource from the MetroLab Network offers local governments guidance about data governance policy and best practices. The resource, titled Model Data Governance Policy & Practice Guide, offers ...
From establishing team leaders to understanding your own data, there’s a lot to keep in mind when developing a well-thought-out data governance strategy. However, with the right team and know-how, a ...
Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...
AI readiness rests on three foundational pillars: a modern data ecosystem, robust data governance and a strong data-driven ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More We’ve all heard the saying that “every company is a software company” at ...
When asked about their main challenges in adopting AI over the next two years, C-suite leaders cited data issues as their top ...
The democratisation of application development brings numerous benefits, including increased innovation and rapid deployment. As this trend becomes more prevalent, it has sparked debates about its ...
Data governance might be necessary - but it's anything but easy, and it's never complete. A recent post grossly oversimplified the solution - time for a rebuttal. There is a limit to how much nonsense ...