More retailers are finding that Big Data can revitalize an industry challenged by a slow economy, increasingly empowered consumers, mobile proliferation and an ever-growing number of channels.
See on www.zdnet.com
This SIR model [of spread of disease ]shows [applied to markets] that with a big enough market, you can go viral even with a small β (sharing rate) so long as your γ (churn rate) is also small. It also shows that the effects of churn cannot be ignored, even very early in viral growth.
S – The number of people susceptible to the disease (potential customers)
I – The number of people who are infected with the disease (current customers)
R – The number of people who have recovered from the disease (former customers)
See on spinnakr.com
Hunting for digital innovation and harvesting that value across the enterprise describes a deeper role for technology in the enterprise. The combination of tending, hunting and harvesting reflect the full spectrum of technology value delivery that leaders are already using to create a digital edge and digital difference.
See on blogs.gartner.com
Cloudera‘s Lipcon explains that companies will use Hadoop to generate a complicated model of, say, movie preferences based on millions of users, then store the result in HBase. When a user gives a movie a good rating, the website using the tools can factor that small bit of data into the model to offer new, up-to-date recommendations. Later, when the latest data is fed back into Hadoop, these analyses run at a deeper level, analyzing more preferences and producing a more accurate model. “This gives you the sort of best of both worlds—the better results of a complex model and the fast results of an online model,”
See on cacm.acm.org