How to Get Started with Data Analytics
To craft a sustainable business case for analytics, you need to accomplish three fundamental milestones.
To craft a sustainable business case for analytics, you need to accomplish three fundamental milestones.
There is big potential for big data analytics to serve all areas of government. However, in order to do this government must use Operational Intelligence to support the three main public sector mission pillars: protect, serve, and grow. Learn how your agency can do this with Splunk’s real-time data platform.
Don’t let your data go to waste for one second more. Learn how one engine for machine-generated data is making your agencies data easier to collect, store, search and report on.
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.
Ready or not, the big data revolution is upon us. And as more government agencies open data and other organizations generate it otherwise through the influx of connected devices, data will play a role in everything we do.
Learn how cognitive technology is revolutionizing the child welfare system.
Rapid growth of data has provided agencies with unprecedented opportunities and challenges. That’s why a proper Information Governance Strategy is needed to better manage, store, and secure data.
Big data and predictive analytics come with big promises of delivering new and greater insights for government agencies. While the capabilities are real, results won’t happen overnight – there is a methodology to implementing big data analytics.
Organizational leaders have access to an overwhelming amount of data, and it’s up to them to decide how much to use and when to use it.
Carnegie Mellon University in Pittsburgh is dedicated to higher education, research, and learning, so it makes sense that the buildings themselves are smart. By partnering with IBM, Carnegie Mellon was able to harness the power of data from buildings to improve facility performance, increase efficiency, and advance industry business practices.