Strategy and Best Practices
In response to my query in my earlier post "Next up in big data: decision engineering," the FierceBigData community weighed in via email on whether decision engineering is a thing or not.
While naysayers and worrywarts continue to wring their hands over "too few big data implementations," visionaries are already moving beyond big data projects and into reshaping their entire companies around it. The latest to do so is Ford, who is now "retooling the company around big data."
Even a hard-nosed proprietary software maker like Facebook understands and embraces the value of scientists sharing tools and methods, even while protecting specific uses and projects. Facebook's most recent sharing foray is in open sourcing its deep-learning modules for Torch.
Microsoft announced that it has entered an agreement to acquire Revolution Analytics. Given big data analytics are really hot right now, the purchase makes sense. But also given that Revolution Analytics is an open source company, some eyebrows are likely raised at this news.
Analyzing tweets is not just an activity befitting marketing efforts. Such has great value in medicine and public health too. One great example of that is a recent study titled "Psychological Language on Twitter Predicts County-Level Heart Disease Mortality" by University of Pennsylvania researchers published in the journal Psychological Science.
A new survey conducted by the Economist Intelligence Unit (EIU) and Teradata finds a huge gap in how CEOs and other executives see big data. They found that it is CEOs who now wear the rose-colored glasses. Other executives, especially lower-level managers, have a bleaker view.
Speech analytics is picking up momentum in several lines of business and industries these days. One example is within CRM products to increase sales. Another example is in monitoring banker phone conversations to guard against fraud in derivative and swap trading rooms.
Many in the industry have said since the outset that the term "big data" is unfortunate and that sometime soon we'd stop using it. Are we there yet? If we aren't, we likely will be soon because the focus this year will increasingly be on mastering data variety rather than just coping with data size.
Marketers are among the most enthusiastic fans of big data, at least in concept. But arguably, they are the group having the most trouble using it as well. That is doubly so for B2B marketers.So what can B2B marketers expect to happen in big data this year?
The Cluetrain rides again, and big data is included in this rendition.