What Story Is Your Data Telling?
Manually integrating their data costs agencies too much time and too much money. An industry expert explains how automation can help agencies tell a better data story.
Manually integrating their data costs agencies too much time and too much money. An industry expert explains how automation can help agencies tell a better data story.
Agencies have a wealth of unstructured data — images, audio recordings and other information that doesn’t fit neatly in traditional databases or lend itself to analysis by traditional data tools — at their fingertips. So how can government make sense of all this data? How can agencies actually use it?
The traditional budgeting approach used by local governments has many downsides, including a reliance on siloed data and an inability to identify how agencies can deliver services more efficiently and effectively. But rules-based software, which offers a digital and personalized approach, helps to solve those problems.
State and local governments are faced with a pressing need to repair infrastructure damage, particularly transportation infrastructure, following a natural disaster. But localities often lack visibility into what’s happening on the ground, and that delays restoration efforts. Automation can be a huge help.
Milwaukee County uses machine learning to help identify discriminatory language in statutes.
Automation can make analyzing data so much easier. It can help agencies tell better “data stories” that put the information in context. Automating isn’t easy, though. Here’s advice from an industry expert.
Data analytics, in simple terms, can be compared to doing a jigsaw puzzle: The automated analytic tools make much quicker sense of 1,000 random puzzle pieces than a human ever could. But the shift to data analytics requires some planning.
New technology helps agencies deliver better customer service and improve their operations. All that advancement, though, comes at a cost: It makes things more complex.
More attention is being given to how data can solve challenges around digital services. Artificial intelligence and machine learning are powerful tools that can help.
Imagine you have a massive cache of digital family photos, and you’re looking for images of your child’s kindergarten graduation.