What to Do Before You Start Data Governance
Before an organization begins strategizing and implementing data governance, there are a few things it can put in order to create a more effective and valuable governance strategy.
Before an organization begins strategizing and implementing data governance, there are a few things it can put in order to create a more effective and valuable governance strategy.
For too many years, government, industry and academia worked in silos to solve overlapping problems. But let’s think about it: Why repeat work that is already done?
An expert detailed three key areas that agencies should prioritize to deliver data-driven outcomes.
Playbooks are familiar territory for sports teams and agencies alike. As basketball teams have trotted out motion – instead of isolation – offenses, agencies have taken a page of the same principle: that all parts of IT should be moving in unison.
As you might guess, there are many challenges to getting value from big data. The main challenges are volume, velocity and variability, also called “the three Vs.”
New advances in people, processes and technology are transforming agencies’ cybersecurity. Here are three steps for agencies to reinvent it.
When it comes to innovation, agencies are pinning much of their hopes on analytics, particularly when putting their vast stores of data to use.
Use these best practices to tackle digital transformation and build a technology roadmap for their future.
The President’s Management Agenda, which established the framework for IT modernization two years ago, leans heavily on innovation. And although agencies have made progress in modernization on several fronts, adoption of innovative technologies hasn’t been seamless.
At most agencies, integrating emerging technologies takes significant energy, money and time. Agencies need a comprehensive innovation strategy for keeping up with a world that never slows down.