There are few decisions we make today that aren’t based on data. We check our weather apps to properly plan our outfits. We use customer feedback data to determine what products to buy. And we can’t leave home without our fitness monitors and smartphones to track our health, mood, conversations and whereabouts. That’s just in our personal lives.
Consider the decisions — big and small — that government officials have to make every day. Some of these decisions have national security implications and affect how we live, work and play. With so much at stake, agencies can’t afford to play guessing games when it comes to decision-making.
For a growing number of agencies, that’s where the power of data analytics comes in. Using analytics, they can extract valuable insights from their data to detect fraud, reduce recidivism, prioritize the location of bicycle facilities, respond to cyberthreats and much more.
Other agencies are still in the early stages of analytics and hoping to make it a part of how they do business. But the challenges range from figuring out where to start to determining how mission needs should drive those efforts.
To help agencies maximize their use of data analytics, GovLoop surveyed more than 400 of its community members to better understand the state of data analytics. We used that feedback to identify common challenges agencies face.
In this guide, you will learn about those challenges and how your peers in government addressed them. Specifically, you’ll hear from experts at the General Services Administration, Environmental Protection Agency, Commerce Department, commonwealth of Virginia and Fargo Fire Department in North Dakota.
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