A little over two decades in the year 1990 John Romkey and Simon Hackett connected another device other than a PC to the internet. That “other” device connected in the 1990’s was an electric toaster that was controlled by a simple protocol. It wasn’t till another decade that Kevin Ashton coined the phrase “Internet of things”. Adoption of Internet of things was slow during the subsequent two decades but towards the end of the second decade in the year 2008-2009 a transition happened, the “things or devices” connected to the internet numbered more than people.
As Companies like Apple, Samsung, PayPal, Square, and Google Wallet are embracing mobile payments, mobile commerce seems poised for massive adoption in 2015. A lot has been talked and researched about mobile payment security and use of biometrics to secure Mobile Payments. According to Frost and Sullivan, the number of global biometrics smartphone users will reach 471.11 million in 2017. As Mobile devices with personal identification information hit the market, securing these devices to recognize and authenticate will be a major challenge.
One of the interesting trends in consumer behavior while shopping in both online and brick stores is impulse. It comes as no surprise with apparent trends in shopping on mobile devices and is quite obvious from the competitive landscape of google wetting their feet in employing the “buy” button and Amazon grappling with its one-hour delivery. Retailers are testing a host of strategies and platforms to pacify the consumer’s impulse.
Do not always blame technology. Now the blame is in your court. Play a fair game!
Bring your own device (BYOD) is being talked about as a successful mobility strategy today. Adopting BYOD apparently reduces infrastructure costs and renders work flexibility for users. While the devices are wandering around places along with the users, MDM services are also catching up to monitor them. But for a fact, the growth in the BYOD strategy doesn’t really match with the adoption rates. Why? Two prevailing reasons I can think of are data “security” and the “trust” factor.
At an era when companies in different industries give a cut throat competition to each other and the points of differences getting highly reduced analytics come to the fore to bring in a complete change in the way the companies are operating by using data to attain qualitative difference from the competitors and the ability to acquire and retain the customers by providing a personalized customer service.
If you take a look at last year’s contact center/call center trends, you’ll invariably find mentions of ‘The Cloud”, “Big Data” and “Social Media”. We have analyzed various reports and summarized the trends for 2015. Gamification, Omnichannel, WebRTC and Workflow Optimization are some of the buzzwords that you will be hearing over the next several months. However those technologies and strategies are likely to see real adoption in by contact centers.
Analytics is a continuously evolving field of science that can be used in determining patterns in data. These patterns can be represented in a graphical format. The data visualizations thus obtained can be used in converting the insights into results which guides in decision making. Ideally, analytics is a Sherlock in the field of vast unstructured data .
The advent of technology and the passing of time have taken us to new frontiers on how businesses can be made more effective. The tools and rules of customer engagement and employee productivity are changing. Social networking has become ubiquitous in more than one facet of the present day business.
Today "Analytics" has become the keyword for all digital enterprises. The buzz around Analytics is growing rapidly; to be more precise it is rather growing exponentially. So, what exactly does analytics mean? Few say analytics is all about deriving meaningful patterns from data.
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