A global study sponsored by Teradata Corp. (NYSE: TDC), the big data analytics and marketing applications company, recently revealed an apparent disconnect between how chief executive officers (CEOs) see the current status and benefits of data initiatives and how lower-level managers see them. This and other disparities impede success and imperil the competitive advantage companies hope to realize.
More than 95 percent of companies have a formal data and analytics strategy in place with many favoring product development, IT and marketing over corporate real estate—until now. A new, independent study conducted by Forrester Consulting, commissioned by JLL, says that 75 percent of firms see corporate real estate information as a core part of a wider corporate data and analytics strategy.
The Random forests machine learning algorithm is a popular ensemble method used by many data scientists to achieve good predictive performance in the classification regime. Fully understanding the nuances of this statistical learning technique is paramount to getting the most out of this algorithm – unfortunately, this means math. The presentation below is from machine learning course CPSC 540 at The University of British Columbia,
In the presentation below, data scientist, author (“Applied Predictive Modeling” with Kjell Johnson) and R caret package developer Max Kuhn sits down for an in-depth interview with Eduardo Arino de la Rubia sponsored by our friends over at DataScience.LA. They discuss the art and science of predictive modeling in the real world, the multifaceted and […]
49% of organizations see eDiscovery for endpoint data as their highest governance priority in the next two years. A new approach for governing information is a necessity with the rise of mobility. Our friends over at Druva created the new infographic below depicting the problem with traditional data governance.