There are countless stories of agencies using analytics to improve online services and better track internal metrics. But the path to a successful big data analytics implementation requires proper long-term planning that addresses growth, flexibility, agility and the evolution of technology.
Most of us are not that familiar with what happens behind the scenes to process the petabytes of data collected through sensors, cell phones, images, search engines and financial transactions, but it’s safe to say that the analysis of these data make our current information-based economy run.
Given the vast quantity of data out there and the cost of management and analytical processes, many agencies have yet to transform data analytics into a real asset.
Government already collects data about us that could be used to more efficiently provide access to the range of services that one might need. Through implementing a consent process, like what the health care and financial sectors have done, government could make better use, through data sharing, of the data it already has.
Spurred by serious concerns about the rise of opioid use statewide — and a fascination with data — state employees combined disparate datasets to visualize and combat Indiana’s drug epidemic.
This post was written by Karen Terrell, Vice President, SAS Federal According to the Identity Theft Resource Center, there have been 57 data breaches of government and military agencies in 2015, putting at risk nearly 40 million records. Unfortunately, the attacks will continue to happen, growing in frequency, severity and impact unless agencies employRead… Read more »
Data collection must get out of its current antiquated ways and embrace new technologies to support services for the vulnerable.
Federal agencies are starting to recognize the endless possibilities that big data can provide – improved health care and education; prevention of crime and cyberattacks; detection of fraud, waste and abuse; and better and safer transportation services. However, the rise of big data has led to big projects, big bucks and big challenges as agencies… Read more »
The public sector is challenged to collect and analyze data to drive improving the lives of vulnerable populations. What are the challenges and the potentials to have policymaking and program administration be more data-driven?
In this example, big data was not required. In fact, just a comparatively little amount of data, properly analyzed and presented to non-technical organizational leaders, can lead to big improvements. The lesson – don’t blindly accept or ask for more data.