The Journey from Big Data to Big Promise
It’s well known that big data is usually stated in terms of the three Vs: Volume, Variety and Velocity. The…
Data by the Book: You Don’t Know What You’ve Got Until It’s Gone
Big data, with all of its vastness and mystery – and confusion – is actually a remarkably straightforward concept: store…
Two Wrongs Don’t Make an Insight
What keeps IT guys up at night? All that bad data their bosses are using to run the business.In case…
Key to Business Intelligence Success: Data Accuracy and Visibility
By now, most decision-makers have probably heard some success stories regarding business intelligence (BI) – how one company used it to cut costs,…
Lots of Data Does Not Equal “Big Data”
by Joseph Rickert by Joseph RickertWhen talking with data scientists and analysts — who are working with large scale data…
5 Principles of Analytical Hub Architecture (Part 1)
As I discused the other day in Why you need an analytical hub, enterprises need to spend time looking forward,…
Big Data Without Integration Is Broken
Big data involves interplay between different data management approaches and business intelligence and operational systems, which makes it imperative that…
The Data Consumption Dilemma: 4 Pitfalls to Avoid
Data is as critical to your business as ingredients are to cooking. Data is as critical to your business as…
The Secrets to Big Data and Information Optimization Revealed in 2013 Research Agenda
Managing the access, storage and use of data effectively can provide businesses a competitive advantage. Last year I outlined what…
Driving Analytic Value From New Data
One of the best ways to improve the power of your analytics is to include some totally new information. The…
