This is an MIT Sloan Management Review article. Based on a global executive survey with 2,000+ respondents and interviews with more than thirty executives, MIT Sloan Management Review and SAS Institute Inc. report that analytics has become a common path to business value. Organizations are now being challenged to step up their use of analytics, whether they are just getting started or are seasoned practitioners. The implications for industry competition are coming into focus-companies that incorporate analytics into their culture are finding success in the new digital era.

This is an MIT Sloan Management Review article. Facing headwinds from a shifting media industry, executives at Spanish language broadcasting company Entravision recognized the need to innovate their business model. To get there they created Luminar, a big data insights division that utilizes about 2000 external data points to deliver customized, transaction-based insights to marketers, about Entravision's Latino audience. The fastest growing U.S. demographic, Latinos have amassed buying power worth more than a trillion dollars annually.

This is an MIT Sloan Management Review article. Oil & Gas is GE's fastest growing business, with revenues of $15 billion. It competes in high-growth markets and creates products like the recently launched first subsea compressor that utilize GE's broad technical capabilities. Measurement & Control, a division of Oil & Gas, covers a swath of industries and applications, according to its website, including sensing, asset condition monitoring, controls and instrumentation. But Oil & Gas, along with the rest of GE, is also betting heavy on analytics. The company announced this summer the first-of-its-kind cloud platform for collecting, storing and analyzing large scale machine data, to handle the massive data from the coming Industrial Internet. GE is also applying that analytic rigor to innovate internally - and drive commercial change. Philip Kim, (former) marketing operations leader for Measurement & Control , discusses how GE uses data to continuously improve performance - whether that's to grow sales, decrease costs or improve performance-- and in the process, democratizes analytics.

More than half of this year's survey respondents strongly agree that their organization needs to step up the use of analytics to make better business decisions -and that percentage rises to 87% if respondents who agree "somewhat"are included. This finding -that a majority of survey respondents agree strongly about the need to step up analytics use -holds true across a range of industries. Several forces, the authors argue, are helping spur managers'interest in analytics, including increased market complexity (for example, omnichannel retailing that encompasses both digital and brick-and-mortar channels) and the availability of better analytics tools and data. The authors report that some companies are sharing their data and analytics with business partners in order to meet strategic business objectives. For example, WellPoint, a U.S. health insurer based in Indianapolis, Indiana, is using analytics to help forge a payment model with physicians that rewards providers when they reduce overall health-care costs and enhance quality and health outcomes. Specifically, WellPoint is converting administrative claims and authorization data into useful information about populations of patients and sharing that information with physicians and their care teams. The survey data suggests that companies for which analytics has improved the ability to innovate are more likely to share data with partners and suppliers. Half of this year's survey respondents somewhat or strongly agree that analytics is helping their organization innovate -and 16% believe that strongly. Those survey respondents who strongly agree that analytics is helping their organization innovate are much more likely to say they collaborate with partners and suppliers through the use of analytics than respondents who don't think that analytics is helping their company innovate.

This is an MIT Sloan Management Review article. In a recent data and analytics survey conducted by MIT Sloan Management Review in partnership with SAS Institute Inc., the authors found a strong correlation between the value companies say they generate using analytics and the amount of data they use. Combining the responses to several survey questions, they identified five levels of analytics sophistication, with those at Level 5 being most sophisticated and innovative. These analytical innovators in Level 5 had several defining characteristics. First, they tended to use more data than other groups. In fact, they were three times more likely than the 8% of those respondents who fell into the Level 1 category to say they used a great deal or all of their data. Second, there was a strong correlation between driving competitive advantage and innovation with analytics and how effective a company is at managing what the authors term "the information transformation cycle."This cycle refers to the process of capturing data, analyzing information, aggregating and integrating data, using insights to guide future strategy and disseminating information and insights. Respondents who fell into the Level 5 category also had a stronger need for speed than other survey respondents. Eighty-seven percent reported that the ability to process and analyze data more quickly was very important. Utilizing speed fell into three separate areas: customer experience, pricing strategy and innovation. Another intriguing finding from the survey involved the cultural impact on organizations. Some respondents reported that the use of analytics is shifting the power structure within their organizations. Analytical innovators, as a group, tended to be more likely than other groups to say that analytics has started to shift the power structure in their organizations.