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Foundations of Modern Predictive Analytics
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Special ArticlesStudy: When it comes to sales & marketing analytics, few companies ‘get it right’
Companies across industries admit to the growing importance of data analytics to improve sales and marketing effectiveness and decision-making. However, many struggle to piece together siloed data, properly define the problem or design the solution. As a result, they often fail to realize widespread business impact from their efforts, according to a study conducted by The Economist Intelligence Unit (EIU) and sponsored by global sales and marketing firm ZS.Read More
Special Articles2017 Syngenta Crop Challenge in Analytics offers $5,000 prize
Put your analytics skills to the test and win $5,000 in the 2017 “Syngenta Crop Challenge in Analytics” administered by INFORMS and sponsored by the Analytics Society of INFORMS.Read More
Special ArticlesITIF: Expand computer science education to keep up with demand
Computer skills are in high demand among employers in a wide range of industries, not just tech-related fields, yet despite growing interest in the subject, a new report from the Information Technology and Innovation Foundation (ITIF) finds that too few U.S. students are taking quality computer science classes at the high school and university levels. ITIF makes the case for public action to support and maintain the groundswell of interest in computer science and capture the economic and social benefits that will come from fostering a more highly skilled workforce.Read More
IDC forecasts big growth for Big Data
International Data Corporation (IDC) recently released a worldwide Big Data technology and services forecast showing the market is expected to grow from $3.2 billion in 2010 to $16.9 billion in 2015. This represents a compound annual growth rate (CAGR) of 40 percent or about seven times that of the overall information and communications technology (ICT) market.
“The Big Data market is expanding rapidly as large IT companies and startups vie for customers and market share,” says Dan Vesset, program vice president, Business Analytics Solutions at IDC. “For technology buyers, opportunities exist to use Big Data technology to improve operational efficiency and to drive innovation. Use cases are already present across industries and geographic regions.
“There are also Big Data opportunities for both large IT vendors and start-ups,” Vesset continues. “Major IT vendors are offering both database solutions and configurations supporting Big Data by evolving their own products as well as by acquisition. At the same time, more than half a billion dollars in venture capital has been invested in new Big Data technology.”
Additional findings from IDC's study include the following:
• While the five-year CAGR for the worldwide market is expected to be nearly 40 percent, the growth of individual segments varies from 27.3 percent for servers and 34.2 percent for software to 61.4 percent for storage.
• The growth in appliances, cloud and outsourcing deals for Big Data technology will likely mean that over time end-users will pay increasingly less attention to technology capabilities and will focus instead on the business value arguments. System performance, availability, security and manageability will all matter greatly. However, how they are achieved will be less of a point for differentiation among vendors.
• Today there is a shortage of trained Big Data technology experts, in addition to a shortage of analytics experts. This labor supply constraint will act as an inhibitor of adoption and use of Big Data technologies, and it will also encourage vendors to deliver Big Data technologies as cloud-based solutions.
The study, Worldwide Big Data Technology and Services 2012-2015 Forecast (IDC #233485) examines the Big Data technology and services market for 2010–2015. IDC defines Big Data technologies as a new generation of technologies and architectures designed to extract value economically from very large volumes of a wide variety of data by enabling high-velocity capture, discovery, and/or analysis. Further, the study segments the Big Data market into server, storage, networking, software and services segments.