Continuous Monitoring Solution Designed for Facility and Energy Management

Verisae and Ecova partner to combine technology and service across nearly 3,000 facilities for an innovative and smart operational approach …

 

image source: http://energymanagementsystems.org/faqs-on-developing-energy-management-systems/

Source: www.virtual-strategy.com

>” Verisae, a leading global provider of SaaS solutions that drive cost reductions in maintenance, energy, mobile workforces, and environmental management, and Ecova, a total energy and sustainability management company, are pleased to announce the success of their growing partnership to help multisite companies solve their toughest energy, operations, and maintenance challenges.

The continuous monitoring solution combines Verisae’s Software-as-a-Service (SaaS) technology platform with Ecova’s Operations Control Center (OCC) to empower data-driven decision making. The solution analyses operational data in real-time, and has the capability to look for issues and anomalies to predict equipment failure and automatically identify inefficiencies causing higher energy consumption.

Ecova’s fully-staffed 24/7/365 OCC investigates inbound service calls, alarms, telemetry data, and work orders to determine the source of energy, equipment, and system faults and, where possible, corrects issues remotely before they escalate into financial, operational, or comfort problems. Trouble tickets and inbound calls are captured and tracked in the Verisae platform to provide companies with visibility into any operational issues. Combining data analytics that flag potentially troubling conditions with a service that investigates and resolves issues increases operational efficiencies and improves energy savings.

“Companies are constantly challenged to cut costs while maintaining quality, performance, and comfort,” says Jerry Dolinsky, CEO of Verisae. “Our combined solution helps clients address these challenges so they can reduce costs and improve operational efficiencies without impacting value.”

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Data Scientists: Explore Game Theory to Boost Customer Engagement | The Big Data Hub

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Data scientists may consider themselves fish out of water when it comes to applying game-theoretic approaches to customer engagement. Nevertheless, it provides a valuable set of approaches for behavioral analytics.

Duane Tilden‘s insight:

>Customer engagement is a bit of a game, because, deep down, it’s a form of haggling and bargaining. Let’s be blunt: everybody has an ulterior purpose and is manipulating the other party in that direction. The customer is trying to get the best deal from you, and you’re trying to hold onto them and sell them more stuff at a healthy profit.

Customer engagement is not solitaire, and, unlike many online games, it always has very real stakes. By its very nature, customer engagement is an interactive decision process involving individuals and organizations, entailing varying degrees of cooperation and conflict in the course (hopefully) of a stable and mutually beneficial outcome.

Game theory is a modeling discipline that focuses on strategic decision-making scenarios. It leverages a substantial body of applied mathematics and has been used successfully in many disciplines, including economics, politics, management and biology. There has even been some recent discussion of its possible application in modeling customer-engagement scenarios to improve loyalty, upsell and the like.

Customer engagement modeling is a largely unexplored frontier for game theory. The literature on this is relatively sparse right now, compared to other domains where game theory’s principles have been applied. […]<

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