Analytics in Motion Part 2: Executable Analytics Solution
If you can identify a useful analytics question and keep it well-scoped, your chances of an executable analytics solution go up dramatically.
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.
Cities, counties and states are already leveraging the power of GIS to combat opioid crises in their communities. Read these two case studies to learn how.
Predictive policing is being used by many municipal and federal law enforcement agencies both domestically and internationally to decrease crime. But community outreach with data-driven strategies can be more effective.
Now in its 21st year, Esri’s Federal GIS (FedGIS) Conference kicks off March 20-21. Open to all federal government agency workers, this event attracts 3,000 attendees and invites all to share their experience in collaborating, innovating, and connecting their work using spatial analytics technology.
You want to hear a secret? City governments are still at the beginning stages of understanding how best to optimize the use of machine learning (ML) algorithms to make city services more efficient. Here’s why.
Detecting and responding to any type of infectious disease requires geographic accuracy along with the ability to track and gather data. A GIS platform allows you to visualize and analyze information layered onto a map in order to understand relationships, patterns and trends.
Rarely is spatial analysis seen as a competency that should be shared horizontally through all organizations. But hiring data scientists to lead this charge is a key piece to the puzzle of solving urban challenges.
We need more than just data scientists doing city work; we need a strong ecosystem that will support a smart team of urban data scientists as they assist city leadership in driving successful outcomes for citizens.