Combating COVID-19 With GIS Tools
Geographic information system (GIS) software captures and analyzes geographic and spatial data, making it a potentially valuable tool for agencies.
Big Data
Making Decisions at a New Normal Pace
When it comes to using and deploying technology to respond to the coronavirus, time is of the essence.
The 3 P’s of a Single Source of Truth
Conveyed from an indisputable single source of truth, data-based facts are why the public overwhelmingly trusts Dr. Anthony Fauci.
Lessons Learned From the Front Line of Data Protection and Recovery
Like a federal agency, the Mercy Ships program is mission-driven, with a focus on using IT to improve the quality of care that it provides. Even its back-office systems affect what happens on the frontlines.
How to Manage Data Complexity
GovLoop surveyed nearly 120 government employees about their data challenges, priorities and future plans and explain how to overcome those challenges.
5 Python Courses for Your Data Science Career
Python is one of the most widely-used programming languages by data science professionals, so it is essential to learn for anyone aspiring to have a data science career. Here are five courses you can take to learn.
How CISA Chief Data Officer Is Spreading the Data Management Message
At the Cybersecurity and Infrastructure Security Agency (CISA), Preston Werntz wants to make data literacy top of mind for all employees.
3 Tips for Responding to COVID-19 with Data
Learn how to access and share the information most important to your internal decision-makers and constituents.
How CMS Used Data to Enhance Citizen Experience
CMS has one of the biggest digital footprints in federal government, without a performance tracker, it was difficult to oversee its CX in real time.
Cloud Provides Cost-Effective Solution to Data Backup, Recovery Challenges
Agencies can’t afford not to have a strong data backup and recovery strategy. That’s just a given. The challenge is coming up with a strong backup and recovery strategy that they can afford to maintain as their data requirements grow and evolve.