A New World for Data and Analytics in Government
"New York is not dead"
One of the highlights of the event was a discussion with Martha Norrick, Acting Chief of the Analytics Office, City of New York. While New York has been the focus of attention for much of the COVID pandemic, Norrick explained how the focus on data and building a stronger culture of analytics has helped the City weather the storm and position it for a strong recovery.
While the public health crisis had significant impact, COVID created opportunities to learn, analyze new data, and build new insights. Case in point: Through the establishment of the City’s Emergency Food Delivery system, analysts were able to create new levels of insights on food insecurity issues enabling leaders to develop policies and actions to handle the next emergency.
Leveraging unstructured data and geospatial analytics to accelerate outcomes
Closing out our guest speakers was Avinash Varma, Reveal Global Consulting, and Michael Depue, Atkins Global. Both shared insights on how a robust unified analytics platform like Alteryx has enabled federal agencies to scale key processes with Analytic Process Automation.
For example, Reveal is helping the U.S. Census leverage insights gleaned from satellite imagery to track building construction starts and progress. This ability to leverage unstructured data helps the agency move away from a reliance on manual surveys and streamlines the creation of insights used to report on a leading economic indicator.
Atkins is helping FEMA utilize predictive and geospatial capabilities within the Alteryx platform to better automate the collection and analysis of storm damage on buildings in hurricane ravaged Puerto Rico. With this capability, Atkins helped FEMA fill in gaps related to building data and optimize decisions on where to deploy physical inspectors. This use of predictive and geospatial analytics saved millions of dollars and more importantly sped up the recovery process allowing people and communities to get to the task of rebuilding more quickly.