The magic and enormous value of big data is that it reveals information that was never seen before. Over the years I’ve been using a series of metrics that indicate individual recruiter performance as they relate to productivity, sourcing effectiveness and quality of hire. By drilling down into the data
We’ve had software as a service, platform as a service and data as a service. Now, by mixing them all together and massively upscaling the amount of data involved, we’ve arrived at Big Data as a Service (or BDaaS, and it's pronounced how you will).
Imagine the “Amazing Race” mirroring campaigns that banks can launch with the transaction history of their customers. Is transaction history not simply, purchasing preference? Imagine being able to send push notifications to your banking customers when they are nearing an outlet where they dined and swiped their cards last week. Imagine the contextual relevance of the message and the offer. Imagine being a bank, playing a proactive role in generating leads for its customers. Isn’t this, shattering the box, the very definition of creativity?
Picture this: You call customer service at your phone company to fix an issue with your phone. The agent answers and greets you by name before you have an opportunity to say hello. After asking how your day has been, he gets down to business. He knows you tweeted about your problem on Twitter yesterday and apologizes that nobody got back to you right away. He is also aware that you recently chatted with a customer representative two days ago when setting up your phone, and that you are experiencing dropped calls. Lastly, he states what he perceives to be the issue and asks you to confirm. Before long he gets to the root of your problem and transfers you to the person who can help. Within a few minutes, the call is over, your problem is fixed and you hang up satisfied. This seamless service interaction is a moment that lives on in a customer’s mind, and sets the expectation for how all experiences should go. It’s the result of a smarter customer engagement strategy, and the magic wand that makes it happen is big data.
Fans of the TV show Backstrom know that the title character is a detective with health problems, and in a recent episode the police force’s doctor requires him to wear a FitBit-type health monitor to ensure he’s getting his prescribed 10,000 steps...
Tired of Big Data hype? You haven’t seen anything yet! This year will bring Big Data chainsaws, Big Data breath mints and Big Data disposable wipes. I fully expect that Korean megastar Psy will change his name to Sir Hadoop-sa-lot, release a new hit song called, “Big Data Style” and will retake his title as most-watched person on YouTube. But don’t despair; somewhere in all of that noise the tech industry is indeed making major strides in creating real, value-added solutions.
Customer surveys can provide rich information about customers. They provide the data that fuel the customer experience analytics that generate the customer insights to drive the business forward. In this new Big Data world, however, it’s clear that businesses are now able to use different sources of data (e.g., buying behavior, number of calls) as well as the accompanying technology (e.g., quick processing, text analytics) to get additional customer insights. Here are four things companies can do to improve their customer surveys.
Computer scientists at Washington University in St. Louis' School of Engineering & Applied Science tackled some big data about an important protein and discovered its connection in human history as well as clues about its role in complex neurological diseases.
More than a decade ago, we entered an era of data deluge, writes Sebastiao Correia of Talend. Let’s explore some of the paradigm shifts caused by the data deluge and its impact on data quality. Read More
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