Moving Beyond Data-Driven to Analytics-Driven
Data by itself doesn’t solve problems or bring value to an organization. We need to move beyond the data, and work on harnessing its value to the organization.
Data by itself doesn’t solve problems or bring value to an organization. We need to move beyond the data, and work on harnessing its value to the organization.
Privacy, diversity and inclusion, ethical use of technology and algorithmic bias.
The future of open data is about growing the user base. Taking a lesson from the creator of Mario Bros. can make data portals easy to use.
Natural tendencies aside, integrating data in pursuit of removing silos can actually cause more problems than solve. Here are three key issues that are introduced when integrating a lot of data into one data warehouse.
Learn how GIS can assist government in implementing infrastructure improvements in a data-driven and cost-effective manner.
Public health preparedness staff need a collection of foundational data, supported by GIS, on an enterprise platform, that is ready to go when a disaster strikes.
A connected government participates in the creation and maintenance of data and real-time information. They move away from creating siloed smart projects and set up a true real-time infrastructure that can ingest, collect and analyze real-time data.
If you can identify a useful analytics question and keep it well-scoped, your chances of an executable analytics solution go up dramatically.
In this post I am discussing geo-enabled enterprises. This spatial indexing of data not only creates a new data element to analyze but also allows the data to be visualized in a very intuitive way; as a map
Data drills are a mechanism for helping a city to baseline where they are with citywide data practices. They’re also a mechanism for helping a city improve their ability to identify, understand and use data to solve a city challenge when requested.
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