Examples and case studies

How smart wastewater management saved an Indiana city millions

Tue, 2013-05-07 08:54 -- Liz Enbysk
05/07/2013

South Bend, Indiana faced an estimated $120 million in costs to get its wastewater collection system under control. But through a collaborative effort with Notre Dame University, IBM and a local tech company, the city was able to deploy a monitoring and collection system at a fraction of the estimate.

How Lake Nona, FL, delivered gigabit for all

Thu, 2018-04-26 13:27 -- SCC Staff
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While the U.S. trails many other countries in broadband speeds, Lake Nona, FL, has managed to deliver gigabit to every home and business. This case study, prepared by the Council's City Networks Task Force, explains how they used dense network architecture and smart homes and buildings to provide it.

Lavasa a 'Smart City'

Fri, 2015-09-18 03:26 -- SCC India Staff
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A 'Smart City' is one that has processes in place to make service delivery better, faster and cheaper. Many times, the application of a new technology will provide this edge, but sometimes it is a low-tech solution that best meets the 'better, faster, cheaper' test. As Lavasa's technology partner, MyCity Technologies helps the city make these decisions; but technologies alone does not make Lavasa (or any city) smart. Proceed to read the Master Plan for Lavasa.

Danish City Gains efficiency, Fosters Collaboration with Cloud-based Productivity Tools

Sat, 2015-08-15 10:45 -- SCC Staff
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Odense Municipality in Denmark wanted a way to streamline its governmental organization and replace an outdated email solution. Read in this case study about the efficiencies municipal employees gained when the city migrated to Microsoft Office 365.

City of Calgary: Using Data to Predict and Mitigate Floods

Sun, 2015-08-09 14:17 -- SCC Staff
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Spring rains and snowmelt pour into the rivers and reservoirs that feed the Calgary’s water supply. As a result, downtown businesses and residents are faced with unpredictable floods. Read in this case study why the city turned to OSIsoft's PI System for a data-driven approach to predicting and managing flooding.

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