In this special guest feature, Ron Bodkin, President and Founder of Think Big, a Teradata Company, discusses how the hyper-accelerating big data industry can yield a bewildering number of technology options and how to say “no” in the face of such compelling temptation.
In this special guest feature, Tara Kelly of SPLICE Software discusses the link between Data Hygiene and Customer Retention and also how to gauge where your data stands so you can clean it up and reap the rewards.
In this special guest feature, Ramesh Hariharan, Co-Founder and Head of Innovation & Technology at LatentView, presents a high level view of the advancing compute resources being used for today’s data processing requirements.
In this special guest feature, John Sharpe, Director of Product Management for Iron Mountain’s Data Management business, identifies five key differences between data backup and archive.
In this special guest feature, Brian Irwin, VP of Strategy at SHYFT Analytics, takes a look at the three market dynamics driving life sciences organizations to evaluate new data analytics strategies and technologies as they transform into value-based care delivery models.
In this special guest feature, Rob Consoli, Senior Vice President of Sales and Marketing for Liaison Technologies, makes a case for the benefits of a data-centric approach to integration called dPaaS (Data Platform as a Service), an integration and data management platform that is fundamentally different from traditional approaches and offers a number of advantages.
Understanding TCO: How to Avoid the Four Common Pitfalls that May Lead to Skyrocketing Bills After Implementing a BI Solution
In this special guest feature, Ulrik Pedersen, Chief Operations Officer at TARGIT, highlights the constant battle between IT and finance on Total Cost of Ownership (TCO) when it comes to implementing a new BI solution.
In this special guest feature, Gary Baum, Vice President of Marketing at MyScript, talks about how handwriting recognition is enhancing machine (and human) learning. As an input method, handwriting recognition teaches machines to adapt to the user, adding in another layer to their evolving skill set. Those users can program systems simply by jotting down notes and in turn, build platforms most reflective of the human experience.
In this special guest feature, Jane Hendricks, WW Portfolio Marketing Lead at IBM Predictive Analytics, describes a methodology for realizing business value from predictive analytics: start by understanding the business before the data that’s available and obtainable, then develop and apply models while considering how the models can be put into practice. The article includes three short case studies that illustrate the successful application of these principles.
In this special guest feature, Ashley Stirrup, CMO at Talend, provides a useful list of five ways to get more out of Hadoop as organizations increasingly look to speed time to market, anticipate and respond to customers’ needs, and introduce new products and services.