This is an MIT Sloan Management Review article. The 2016 Data & Analytics Report by MIT Sloan Management Review and SAS finds that analytics is now a mainstream idea, but not a mainstream practice. Few companies have a strategic plan for analytics or are executing a strategy for what they hope to achieve with analytics. Organizations achieving the greatest benefits from analytics ensure the right data is being captured, and blend information and experience in making decisions.
This is an MIT Sloan Management Review article. The 2015 Data & Analytics Report by MIT Sloan Management Review and SAS finds that talent management is critical to realizing analytics benefits. This fifth annual survey of business executives, managers and analytics professionals from organizations located around the world captured insights from 2,719 respondents. It finds that organizations achieving the greatest benefits from analytics are also much more likely to have a plan for building their talent bench. That talent plan includes (1) giving preference to people with analytical skills when hiring and promoting, (2) developing analytical skills through formal training, and (3) integrating new talent with more traditional data workers.
business value from analytics is not data management or complex modeling skills. Instead, the number one barrier mentioned by survey respondents involved translating analytics into business actions -in other words, making business decisions based on the results, not producing the results themselves. With more access to useful data, companies are increasingly using sophisticated analytical methods. That, the authors argue, means there's often a gap between an organization's capacity to produce analytical results and its ability to apply them effectively to business issues. Much can be done to make analytics more consumable for managers. At the individual level, data analysts can learn more about the business; in fact, about a third (34%) of the survey respondents reported that their organizations train analytics professionals to understand business issues. Organizations can also systemically improve infrastructure and processes; improved data quality, for example,can make it easier to turn data into competitive advantage. Managers can also take steps to become savvier at understanding analytical results. In fact, managers and executives are working to become more knowledgeable about data and analytics: Many of the survey respondents reported that their organizations develop analytical skills through on-the-job (58%) or formal (23%) training. Almost half the respondents (49%) reported that their organizations train managers to make better use of analytics. Beyond training, other known steps include: identifying trustworthy analytics professionals within the organization, requiring straightforward explanations and asking detailed questions. However, the authors'research indicates that, despite their efforts, managers continue to find it difficult to keep pace with their organization's analysts for two reasons: burgeoning analytics sophistication and competing demands for managerial attention.
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.
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.