Data Visualization: Drawing Actionable Big Data Insights
“So much data, so little time.” That’s how a lot of companies feel about the explosion of Big Data. After…
Big Data Bytes: How Open Source is Changing Business
I had a fun time on Friday in a Google Hangout chat with David Pittman (IBM), Eric Kavanagh (Bloor Group) and…
Danger: 3 Reasons to Be Scared of Big Data
Just imagine you are sitting on your sofa watching American Idol on TV when you and your partner have a…
10 Greatest Challenges Preventing Businesses from Capitalizing on Big Data [INFOGRAPHIC]
A research from Tata Consultancy Services among 1.217 companies about how companies invest in big data and derive results from…
Beware Cloud Washing: 6 Ways to Spot Fake “Cloud” CRM
The current popularity of cloud technology is understandable. In the same way that traditional computer systems were a vast improvement…
Top BI Dashboard Design and Delivery Worst Practices
It’s child’s play, don’t you know? Business Intelligence (BI) dashboards are the proverbial cherry-on-top of your business analytics project –…
Predictive Analytics in Software: Automation That Scales
For a software company it is also important that this automation scales appropriately. For a software company it is also…
Putting the R in Cloudera and Hortonworks Hadoop
Datanami interviews Revolution Analytics' Bill Jacobs about the upcoming Revolution R Enterprise 7, which will be available later this year.…
Alpha Testing RevoScaleR Running in Hadoop
At Revolution Analytics our mission is to establish R as the driver for Enterprise level computational frameworks. In part, this…
Predictive Analytics in Software: Focusing on Automation
Once you have identified decisions that could usefully be improved by predictive analytics you must develop predictive analytic models for…
