The Gartner Hype Cycle for Emerging Technologies just hit the streets! This guide to the industry’s pulse is a good way to balance the hype with reality. As you’ll note in the chart below, big data is entering the Trough of Disillusionment.
Service quality is one of the most prominent reasons why customers switch banks. With credit card transactions and loyalty programs, banks possess far more data about customers than any other industry. But in spite of all the data, banks are unable to effectively deliver personalized service. The reason?
Last evening I had the pleasure of attending the latest installment of our local Los Angeles Big Data User Group where I am co-organizer. The featured speaker was Dr. William Bain, Founder & CEO of ScaleOut Software, a company providing distributed data grids for the enterprise. Bill’s talk was “Making Hadoop Realtime” where he discussed how in-memory data grids bring tremendous value to the Hadoop software stack.
For an illuminating look at the history and future of predictive analytics and big data, here is The Analytics Big Bang – predictive analytics reaches critical mass as big data and new technologies collide.
Here is a topic that receives much debate these days – as diverse fields like statistics, computer science and applied mathematics converge with newly named fields such as data science and big data. Can’t we all get along?
Hurwitz & Associates recently announced the findings of The Hurwitz Victory Index Report for Advanced Analytics. Designed as a market research assessment tool, it highlights both the diverse uses for advanced analytics technology.
In this special guest feature, Dr. Michael Blaha from Modelsoft Consulting Group writes about how it is better to address functionality and data together when developing software. Michael Blaha is a consultant and trainer who specializes in conceiving, architecting, modeling, designing and tuning databases.
In this special guest feature, Jesse Anderson from Cloudera writes about how many new companies, like the ones we see popping up in the Hadoop ecosystem, too quickly move from crawling to running, a process that sometimes leads to failure.
A recent TDWI report sponsored by Alteryx shows that predictive analytics is having a huge impact on the data and analytics landscape within organizations. The infographic below highlights the data types and new use cases that benefit from the increased use of predictive analytics, and why business analysts are best positioned to make the greatest contribution.