Whether it’s business intelligence or data warehousing, the cloud allows organizations to shift away from managing their infrastructure to put more of their time and resources into their core missions.
Although they’re not an entirely new undertaking in government, many program offices, sub-agencies and even larger departments are still working through strategies to fully embrace analytics.
By now most local governments are familiar with and are working towards implementing smart cities programs. However, some cities are taking it one step further and are transforming their community in a sustainable way. Check out how you can utilize sustainable innovation in your local government.
A variety of market drivers have brought government to the tipping point of needing critically improved data analytics.
Promoting digital transformation is challenging if you don’t have the whole picture of what’s going on across the enterprise. Operational intelligence offers end-to-end visibility, allowing you to make data-driven decisions and take a more holistic approach to modernization.
Government agencies face three major challenges to becoming data-driven organizations: silos and lack of alignment, technology gaps and an inability to derive value from this data deluge.
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.