Tag Archives: Big Data

Facebook Traffic and Influence Jumps on Mobile Devices

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Thanks to its efforts to slash ‘dark social’ links, Facebook’s measurable influence, especially on mobile, has skyrocketed.

Source: venturebeat.com

>”We all know Facebook is huge, and drives incredible amounts of traffic. But thanks to its recent efforts to uncloak the sources of content with no known referrer, we now know that the numbers are bigger than anyone believed.

According to a report issued today by Bitly, the world’s leading link shortener, Facebook has largely solved the problem of so-called “dark social” links — those that have no referrer data and can’t be measured by web analytics tools — and as a result, the social network’s influence skyrocketed during the fourth quarter.

In the report, Bitly wrote that Facebook’s influence jumped 8.6 percent during the fourth quarter overall and 30.2 percent on mobile. That doesn’t mean Facebook’s influence actually grew that much — it means that clicks formerly attributed to “dark social” are now being correctly counted as Facebook’s clicks. Given that Facebook’s major push in recent quarters has been to expand its reach on mobile and give its marketing partners more ways to monetize their content, this is solid evidence that strategy is working.

“Everybody knows Facebook is big, and everyone knows Facebook is driving a significant volume of traffic,” Bitly CEO Mark Josephson told VentureBeat. “But in Q4, they solved a significant part of dark social — traffic or referrers that marketers or publishers don’t know where it’s coming from. … Facebook is bigger than people think they are.”

Bitly’s in a position to know of what it speaks. The company shortens 600 million links a month that generate 8 billion clicks from a billion users worldwide. […]

But those radical drops in dark social links are reflected in Bitly’s latest data showing the strength of Facebook’s overall influence — and that its users are quickly moving from the desktop to mobile. While its influence on mobile exploded 30.2 percent, links coming from the Facebook on the desktop were down 19.8 percent in the fourth quarter.

Others have noticed similar drops in dark social links. Last month, Chartbeat, a service that measures web sites’ traffic, noted a substantial drop in links with no referrers, especially on mobile.

Last week, Facebook reported its fourth quarter earnings, and said that of its 1.39 billion monthly active users, 1.19 billion used the company’s mobile tools, up 26 percent from the same time a year ago. […]”<

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Continuous Monitoring Solution Designed for Facility and Energy Management

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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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Intelligent Efficiency: Evolution of the Energy Efficiency Market

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In the past, energy efficiency was seen as a discrete improvement in devices,” says Skip Laitner, an economist who specializes in energy efficiency. “But information technology is taking it to the next level, where we are thinking dynamically, holistically, and system-wide.

Source: www.greentechmedia.com

>” […] This emerging approach to energy efficiency is information-driven. It is granular. And it is empowering consumers and businesses to turn energy from a cost into an asset. We call this new paradigm “intelligent efficiency.”

That term, which was originally used by the American Council for an Energy-Efficient Economy in a 2012 report, accurately conveys the information technology shift underway in the efficiency sector.

The IT revolution has already dramatically improved the quality of information that is available about how products are delivered and consumed. Companies can granularly track their shipping fleets as they move across the country; runners can use sensors and web-based programs to monitor every step and heartbeat throughout their training; and online services allow travelers to track the price of airfare in real time.

Remarkably, these web-based information management tools are only now coming to the built environment in a big way. But with integration increasing and new tools evolving, they are starting to change the game for energy efficiency.

Although adoption has been slow compared to other sectors, many of these same technologies and applications are driving informational awareness about energy in the built environment. Cheaper sensors are enabling granular monitoring of every piece of equipment in a facility; web-based monitoring platforms are making energy consumption engaging and actionable; and analytic capabilities are allowing companies to find and predict hidden trends amidst the reams of data in their facilities and in the energy markets.

This intelligence is turning energy efficiency from a static, reactive process into a dynamic, proactive strategy.

We interviewed more than 30 analysts and companies in the building controls, equipment, energy management, software and utility sectors about the state of the efficiency market. Every person we spoke to pointed to this emerging intelligence as one of the most important drivers of energy efficiency.

“We are hitting an inflection point,” says Greg Turner, vice president of global offerings at Honeywell Building Solutions. “The interchange of information is creating a new paradigm for the energy efficiency market.”

Based on our conversations with a wide range of energy efficiency professionals, we have identified the five key ways intelligent efficiency is shaping the market in the commercial and industrial (C&I) sector:

The decreased cost of real-time monitoring and verification is improving project performance, helping build trust among customers and creating new opportunities for projects;Virtual energy assessments are bringing more building data to the market, leveraging new lead opportunities for energy service professionals;Web-based energy monitoring tools are linking the energy efficiency and energy management markets, making efficiency a far more dynamic offering;Big data analytics are creating new ways to find trends amidst the “noise” of information, allowing companies to be predictive and proactive in efficiency;Open access to information is strengthening the relationship between utilities and their customers, helping improve choices about efficiency and setting the foundation for the smart grid.

 

[…]”<

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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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