Discovering Data in Today’s Government
This blog is an excerpt from GovLoop’s recent industry perspective, Discovering Data in Today’s Government.
This blog is an excerpt from GovLoop’s recent industry perspective, Discovering Data in Today’s Government.
This can be accomplished with data-centric security that protects data as it is captured, processed and stored across a variety of devices, operating systems, databases, platforms and applications.
Traditionally, city planning is a sort of members-only club that rarely involves the public. By purposefully getting the word out and engaging citizens at every step, Boston is changing that convention.
The road to achieving tangible benefits is a journey that involves repeatable steps to ensure success. They include the forming, storming, norming and performing phases.
To successfully manage a new data analytics program, the entire agency must be united behind common goals. With the right data and the right systems for maintenance, your agency can adopt reliable and game-changing solutions.
“Governed visual analytics is essential,” said Heather Gittings, Director of Public Sector Market Development at Qlik. “Unfortunately, people hear governance and assume a heavy burden will be placed on the IT department. But that’s not the case.”
Because so much money has been put into maintaining those old systems, it can be hard to convince your superiors that cloud-based technology is actually more cost-efficient in the long run.
I have bad news for you. Most people find data really, really boring. Really boring. That means that our charge is to figure out the story behind the data and communicate it in a compelling way.
To be a successful, fully digitized agency, security must be a top concern. Read on for the top three useful tools you can implement to achieve a secure, digital government.
In biological ecosystems, plants and animals rely on each other to spread energy throughout their ecosystems. Local governments increasingly are coming out of their silos and working together, sometimes in the form of collaboratives to bring people together to solve problems using data.