Today in higher education, savvy users expect to have the information they need to make data-informed decisions at their fingertips. As such, leaders in institutional research (IR) are under pressure to provide these users with accurate data, reports and analyses. IR has been tasked with transforming data and reports in
Under-utilized technology creates a drag on an organization. The ability to get more out of the tools you already use can increase the value of an existing investment, and that value grows as processes become more efficient and decisions are based on firmer foundations. Consider the facilities engineer at an
“And the weather yesterday was a sunny 18oC with warm spells in the south and showers in the north. This is similar to the pattern we saw last Thursday.” Imagine if the weather forecast only restated what happened in the past -- would we bother waiting until the end of
The Barnett Shale in North Texas hit a historic mark on April 25: Its rig count fell to zero. Two hundred rigs once harvested the 40 trillion cubic feet of natural gas in this massive basin, stretching beneath 17 Texas counties. Today, nothing. This dramatic silence in North America’s second-largest
How do universities predict which students will enroll? And how do they determine what actions recruitment officers should take to entice students to pick their university? These were two of the key questions tackled by Lisa Moore, Data Scientist at University of Oklahoma, during her presentation at The Texas Association
It’s hard to believe that another year is over. 2015 is behind us; 2016 is ahead. As I looked back over this year, I recalled starting last year at the National Retail Federation Big Show. I presented in the SAS booth on “Optimizing Pricing Decisions.” The presentation was simple and used the concept of
Dust off that old aphorism about an ounce of prevention. Oil companies applying analytics for predictive maintenance can see a substantial downtick in the unanticipated equipment repairs that quickly eat into an oil well’s profitability. Maintenance is far from a trivial concern in the oilfield. A pumping oil well is
The real reason companies cleanse the historical demand is that traditional forecasting solutions were unable to predict sales promotions or correct the data automatically for shortages, or outliers. To address the short comings of traditional technology, companies embedded a cleansing process of adjusting the demand history for shortages, outliers, and
With all the enhancements in demand management over the past decade, companies are still faced with challenges impeding the advancement of demand-driven planning. Many organizations are struggling with how to analyze and make practical use of the mass of data being collected and stored. Others are perplexed as how to
Bookies have long turned a trade in predicting the fate of our politicians in the general election. According to Ladbrokes, gamblers are set to spend a staggering £100m betting on this year’s result. The outcome of the May 7 vote is anticipated to be the hardest election to predict in
