3 Trends Driving the Adoption of Analytics in Government
With the business case for analytics becoming stronger every day, government agencies are likely to drive a momentous adoption wave in 2016 and beyond.
With the business case for analytics becoming stronger every day, government agencies are likely to drive a momentous adoption wave in 2016 and beyond.
How do you get policymakers to listen to academics and scientists when making policy decisions? Much like the London subway system – there’s a need to “mind the gap!”
To craft a sustainable business case for analytics, you need to accomplish three fundamental milestones.
This blog post is an excerpt from GovLoop’s industry perspective: Seizing the Power of Predictive Analytics in Government. Download the full report here. The data analytics landscape is rapidly evolving, thanks to more powerful and affordable tools for data gathering and processing. These tools are helping agencies make sense of their data and use that informationRead… Read more »
Business users know that if they had better access to the mounds of data available to them they could make more informed and better business decisions and they could be looking ahead not backwards. We finally have modern user-friendly data analytics tools available to do just that.
You are closer to a modern budgeting system than you might think.
When assessing the results of a recent GovLoop survey of federal, state and local government employees, several important takeaways stand out that, when combined, paint an interesting picture of the state of anti-fraud technology today in the public sector.
Agencies involved in healthcare delivery are seeking innovative ways to use digital communications and mobile health technologies to drive improvements in patient engagement and overall care outcomes.
An empowered organization is one in which individuals have the knowledge, skill, desire, and opportunity to personally succeed in a way that leads to collective organizational success.
The practical applications of clustering are vast. With the ability to identify groups in the data based on their shared characteristics, future customers, employees and stakeholders can be marketed and delivered products and services that are most likely to be pertinent to their specific needs.