Analytics and Visualization
You'll find a great case study by Jake Harris in Source OpenNews on how data visualizations are affecting reader/viewer empathy--and it isn't a pretty picture.
Yesterday, GoodData, a cloud BI provider, announced major upgrades to its platform and the resulting launch of its "insights-as-a-service" concept that leverages collective learning and, according to them, is suitable as an IoT ready platform.
Teradata just released the results of its fall quarter 2014 survey of 1506 marketing and communications executives in all major industries worldwide. Among other things, it found only 39 percent of organizations are benefitting from customer data analysis.
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.
You'll find an interesting post by Martha Bushong in the George Mason University blog on how researchers there are using bridge and tunnel data gathered by robots and drones and converting it into virtual worlds for inspectors to inspect.
"A shift needs to be made from big data technology, infrastructure setting up to enabling managers to engineer better decisions through data. We define this shift as Decision Engineering--the way to take power out of data and use it to make better engineered business decisions is the next big thing in 2015," says Titir Pal, director of products and solutions at Absolutdata Analytics.
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.
Qubell has announced Qubell for Hadoop Developers which enables Hadoop programmers and data engineers to access on-demand test environments for big data analytics projects.