Learn about the three key strategies the state government in Wisconsin used to make data analytics a central component of their discussions and decisions.
To discuss the value of performance management technology, tailored for the federal environment, and best practices for implementing the solution no matter an agency’s status, GovLoop and Acendre, a leader in performance management, partnered to create this industry perspective.
Find out how progressive analytics develop agencies over time, so that employees can understand the basic functions of data analytic tools, before using them for more advanced processes and decision-making.
Entity analytics is a way for agencies to collect and categorize related data from multiple sources, and it greatly improves the analytic capability of government. Find out how creating an automated process for entity analytics can effectively impact your organization and constituents.
Did you know that data analytics can help agencies do more than just influence unseen decisions? They can also help agencies with facilities operations and construction projects that have physical outcomes.
This blog is an excerpt from GovLoop’s recent industry perspective, Discovering Data in Today’s Government.
To decrease costs and improve patient care, health IT solutions must have access to reliable, near-real time data from across the health system.
Check out what digital transformation means for the public sector, how the data deluge is adding to the complexity and how a segment of big data, called machine data, is offering opportunities to ride the digital transformation wave seamlessly and effectively.
Government is creating and storing data at unimaginable rates. And within that data, there’s a wealth of information to glean. What citizens want, where operational waste exists, what type of fraud is being executed, and how services are being used are just a few of the insights hidden in this wealth of data. Yet many… Read more »
Data analytics can be extremely helpful in improving efficiency and decision-making at agencies, but there are a number of organizational challenges IT leaders must overcome before they can implement effective data systems.