The COVID-19 outbreak has caused unprecedented challenges for public sector organizations across many areas of operations.
Pandemic tracking, emergency response, public health operations, citizen communication and engagement, inter-agency and private sector collaboration, continuity of critical services, and distribution and management of social, financial, and economic recovery operations just to name a few.
Agencies require an elevated ability to manage hundreds of thousands, if not millions, data points and derive actionable insight that can enable government organizations to understand what is happening, predict what might happen, and ultimately optimize their ability to respond, collaborate, and protect their communities. The solution to these challenges are self-service analytics.
Below we’ve outlined six use cases for how agencies can use self-service analytics to empower their teams and accelerate the COVID-19 response and recovery. You can download the full infographic here.
1. An example for tracking pandemic surveillance with predictive and geospatial analytics.
PATH transformed how data was collected and analyzed, empowering front line health workers to better track, treat, and prevent malaria outbreaks.
2. How to manage the disrupted financial landscape.
Project financial forecasts in an extremely disrupted environment and make difficult choices on funding priorities with the ability to ingest new sources of data and model predictive forecasts.
3. How to scale to handle the influx of requests for support and recovery services.
Scale to meet the challenge of quickly processing requests, fighting fraud and abuse, and delivering support with advanced analytics like natural language processing that automate time-consuming manual processes.
4. An example for verifying the availability of critical services and identify gaps.
A state Medicaid organization is mapping out the locations of 2.9 million Medicaid subscribers and over 300,000 service locations to evaluate access to substance abuse disorder services.
5. An example for optimizing the availability of public buildings, facilities, utilities and infrastructure.
In Tallahassee, the local water utility uses real-time insight on the status of their water infrastructure to quickly identify issues like abnormal consumption, notify impacted customers, and dispatch work crews in a timely manner.
6. How to manage employee health, safety and stress levels.
Map employee schedules, shifts and the number of cases they are seeing with a risk score, to predict employees most at risk for attrition. Learn about human capital management analytics for government.
Download the full infographic to dive deeper into how how self-service analytics platforms can help government empower and accelerate their recovery and response efforts.
