Strategy and Best Practices
J. Walter Thompson--or rather their JWT Intelligence arm that focuses on identifying shifts in the global zeitgeist--has released its annual trends report. Among their interesting predictions: next year we'll see the end of tracking cookies, bitcoin going mainstream, and smart fabrics leading the way in wearables "super-humanizing us."
Many organizations are focused on measuring productivity and efficiency and view the hiring and retaining of intelligent employees with specific skill sets to be essential for both. However, group intelligence may be of more importance than individual intelligence to achieving market advantage.
Big data in marketing is all the rage. Everyone wants to know all there is to know about their customers and pump those sales ever higher. Alrighty, let's say you do that. Can you deliver on all those new sales? Do you have enough inventory? Can you make or get more product on time? Are margins where they need to be?
Many apps' data-collecting efforts amounted to wild grab bags and were not focused on specific end uses. This is slowly changing. Apps are getting smarter about data collection and analysis.
Check out the federal governments data plans for the next five years, as outlined by a new report.
Quite a bit of attention is given to improving data management and analysis at the data scientist level. But I submit for your consideration today an often overlooked area that needs our utmost attention: the cogs and wedges in both data entry and action execution.
For 2015, 451 Research has an interesting list of havoc headed our way--the 6 Cs: Containers, convergence, cloud security, closets, crowd workers, and coexistence.
This infographic in particular is of interest to data scientists everywhere. The information within came from CrowdFlower's poll of their team of data scientists on what they think will be "hot" or "not" in their world for 2015.
Big data is delivering many breakthroughs in medicine at a breathtaking pace. One of the latest examples is in post-marketing data analysis of prescription drugs.
Pratt & Whitney is using predictive analytics to expand its business model, specifically through new and enhanced services initiated through its many-sensored products. The move to predictive analytics "is really a paradigm shift in the way the business has to operate," CIO Larry Volz says in an interview with The Wall Street Journal.