According to a recent IBM Institute of Business Value (IBV) study, 63 percent of organizations in 2014 realized a positive return on their analytics investments within a year. That study also noted […]
A maturity model for big data and analytics
Four Steps to a Successful Big Data Project
Too often, investments in big data yield little value. Companies tend to get stuck in constant proof-of-concept efforts and investments that never capture the full potential of their big data vision. Big […]
6 Characteristics Of Data-Driven Rock Stars
Learn what traits to look for in data-savvy movers and shakers, from data scientists and business analysts to executives, managers, and even employees. Data is being used in and across more functional […]
To handle big data, shrink it
As anyone who’s ever used a spreadsheet can attest, it’s often convenient to organize data into tables. But in the age of big data, those tables can be enormous, with millions or […]
Building a Business-Friendly Data Science Team
British Gas revealed that it will form a data science team this week, according to the UK site, V3. The reason may serve as a strategic case for establishing data science teams […]
5 Top Tips For Agile Analytics Organizations
Good business intelligence needs a good team: a BI competency center (BICC). A BICC is a cross-functional organizational team that has defined tasks, roles, responsibilities and processes for supporting and promoting the […]
How is Your Call Center?
What is the Problem? My customer frequently asks if this model or that model can be used to direct call center traffic. Usually the models are projecting an acquisition or engagement window […]
Big Data in the Real world: How to Move from Buzzword to Strategy?
It is now time for businesses to make the effort to understand their data and to develop a five-year plan on how to use it to benefit the business. Big data has […]
Python plus R equals Data Scientist?
I have read a number of articles and posts that claim that if you had courses in linear algebra and multivariate calculus, and know R and Python, then you are a data […]
5 key steps to building an analytics culture
There’s a lot of debate about what enterprises need to do to transform their businesses through big data and analytics: Is a chief data officer necessary? What software should be used? If […]
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