Content analytics moves to the fore. OpenText announces it will bring content analytics capabilities to market for improved business productivity through a licensing agreement with the National Research Council of Canada (NRC).
The NRC offerings will be incorporated into OpenText's flagship Enterprise Content Management (ECM) Suite, with the first version expected to be available this spring. OpenText reports its approach to content analytics addresses the discovery of answers to business questions through the use of semantic technologies such as natural language processing and sentiment analysis. Its collaboration with the NRC will enable more efficient data mining capability to, for example, locate entities names, product brands, geographic locations, currencies and ticker symbols, as well plus uncover facts such as financial statements, merger and acquisition announcements, etc., and then connect relationships between those entities and facts.
Focus on KM in higher education: Learning analytics efforts apply business intelligence to student retention. Across American colleges and universities, only about two-thirds of freshman students stick around for sophomore year.
New students often feel overwhelmed and unprepared for the academic and social challenges of college life. Schools offering online degree programs have an even higher rate of attrition, perhaps because students can easily feel isolated. Determining which factors have the biggest impact on student success and retention has become a very hot topic in higher education. The term "learning analytics" seems to have a number of definitions, but it basically involves using predictive analytic tools to improve learning and education.
Disenrollment rates Here is one of the KM challenges: How do you identify which variables are causing students to fail academically or feel disconnected from the university? The disenrollment rates can be six to seven times higher for online schools than in face-to-face settings, according to Ice. Applying analytics to reduce rugby injuries. The Leicester Tigers, a professional rugby team in the United Kingdom, is applying predictive analytics technology from IBM to reduce player injuries.
The team will examine such factors as fatigue and threshold and game intensity levels to determine hidden patterns or anomalies, so coaches and trainers can gain more insight to prevent injuries. For example, analytics data might reveal that a player has an 80 percent likelihood of becoming injured if he has a significant change in one or more of his fatigue parameters and if the intensity level of training is likely to be high.
With that information, the team could deploy strategies to reduce fatigue or change that player’s training. Andrew Shelton, head of sports science for the Leicester Tigers, says, “Our team has always been proud of challenging at the top of national and European rugby competitions, but it gets more competitive every year, and our focus must be on helping our players stay injury free for longer. Analyzing social customer conversations in real time. EMC chose technology from Attensity to provide real-time social media analytics during its recent conference, EMC World 2012, in Las Vegas.
Attensity Command Center screens were stationed throughout the event to present live, continuously updated reports of social media conversations taking place, as well as of other EMC-related topics. Keith Paul, chief listener at EMC, says, “EMC is on a social listening journey, with the goal of making social media engagement a part of our core business processes. We chose the Attensity Command Center for its unique ability to go beyond social monitoring to deliver detailed, real-time analysis of social customer conversations. We look forward to taking advantage of the Command Center on an ongoing basis and around other special events.” Attensity says its Command Center pulls data from more than 150 million social media and online sources, including Twitter, Facebook, forums, blogs, online news, video sites, review sites and others. National institutes of statistics. Statistical Data. Dashboards. Presentation & analysis.
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