The Analytics Framework Behind Minneapolis, A Data-Driven City
Speak with Patience Ferguson, Chief Human Resources Officer for the city of Minneapolis, and you’ll get the data behind the people – lots of it.
Speak with Patience Ferguson, Chief Human Resources Officer for the city of Minneapolis, and you’ll get the data behind the people – lots of it.
AI solutions drive informed human capital management, using data-driven insights to put employees in situations where they can succeed.
It’s been a month since the release of the Federal Data Strategy. As agencies adjust to the shifting priorities, here are three tools that can help them meet the new, ambitious goals.
Enterprise data clouds are especially valuable to organizations as they can analyze an agency’s data regardless of the IT storing that information.
Big data, as it’s called, has taken over government and forced agencies to piece together policies and practices that will allow them to manage all of their incoming information securely.
Agencies are seeking innovative ways to boost internal efficiencies, while also improving how they manage and safeguard data.
Agencies are looking for better approaches to data storage and backup. They are are shedding those complex, legacy multi-tiered solutions for simplified data management that still has physical support but is built for virtualized environments, and native cloud capabilities.
Adaptive Networks are automated and programmable networks that can configure, monitor and maintain themselves, as well as adapt to changing requirements.
If your agency wants to optimize access and security around its data, it should look to a data strategy. That strategy has to occur on a hybrid cloud-enabled, multi-modal data and analytics platform.
Geographic information system (GIS) technology captures, organizes and analyzes geographic data for public servants trying to improve their communities.