Today, IoT has moved the connected world beyond BYOD to incorporate new sensors and other embedded platforms. As sensors are exponentially increasing the volume of data points that are collected, organizations today must have a system, platform and process in place to organize this data in order understand and act on it.
To discuss more about how the public sector can properly interface and interact with this new world of data and sensors, GovLoop sat down with Steven Sarnecki, Vice President, Federal & Public Sector, and Stephen Bates, Director, Advanced Analytics at OSIsoft, an industry leader in operational intelligence and advanced data analytics for over 35 years.
With the business case for analytics becoming stronger every day, government agencies are likely to drive a momentous adoption wave in 2016 and beyond.
Without the right support, making the most of the Internet of Things (IoT) can be a challenge. Even if devices are capable of sharing data, establishing a secure and effective network to collect and evaluate data is rarely easy.
The first step in building financial accountability is identifying trends in spending.
IoT lets organizations push responsibility for local situations to the lowest level that can handle it, while providing an avenue to move collected knowledge back up to the highest level for strategic direction. The reality is smart devices offer major benefits to government agencies.
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 »
Cognitive computing has fostered innovation in the child welfare system. Learn exactly what this innovation looks like and what next steps are moving forward.
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.