„Oh Mann, mach ihn doch rein.“ Wer kennt das nicht, man fiebert live im Stadion oder auf der heimischen Couch mit seinem Lieblingsteam, das gerade versucht, ein wichtiges Match zu gewinnen oder die langersehnte Trophäe zu ergattern. Ja, und dann sitzt man da auf seinem Sitz oder im Sessel und
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
Gerade lese ich mit großem Interesse die neue BARC-Studie "Advanced & Predictive Analytics 2016". Und ich bin sehr froh, dass der Nutzen von Analytics nahezu unbestritten ist. Egal, ob erfahrene "Best-in-Class"-Unternehmen oder analytische Nachzügler:
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
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
JBF Special Issue on Predictive Business Analytics Dr. Chaman Jain, professor at St. Johns University, and editor-in-chief of the Journal of Business Forecasting, provides his preview of the Winter 2014-15 issue: Predictive Business Analytics, the practice of extracting information from existing data to determine patterns, relationships and future outcomes, is
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
Once upon a time: The toy industry has invited me to the world‘s largest toy fair, which took place recently in the city of Nuremberg. With close to 3,000 exhibitors the toy fair is bigger than ever before. Success is the theme of the event, and most German retailers cannot complain with consecutive
Last week, I had lunch with a friend who I hadn’t seen in quite some time. As I approached the table, I noticed my friend busily writing away in her journal. With a fantastic smile, my friend shared that she was writing down her personal and professional goals for the
Every time I pick up a new article about analytics, I am always disappointed by the fact that I cannot find any specifics mentioned about back-end processing. It is no secret that every vendor wishes they had the latest and greatest parallel processing capabilities, but the truth is that many
Every day there are news stories of fraud perpetrated against federal government programs. Topping the list are Medicaid and Medicare schemes which costs taxpayers an estimated $100 billion a year. Fraud also is rampant in other important federal programs, including unemployment and disability benefits, health care, food stamps, tax collection,
When it comes to fraud detection and risk mitigation, predictive modeling has earned a reputation as the “heavy hitter” in the realm of data analytics. As our celebration of International Fraud Awareness Week continues, I would challenge our readers to ask themselves this question, “Is the reliance upon predictive analytics
Many vendors claim they have analytics, and a lot of users have embraced the belief that analytics is the way to go. But what does analytics really mean, especially to business users without statistics backgrounds, and how much do they need to know about analytics to be able to make
All of us are familiar with common fraud types. Insurance fraud, credit card fraud, identity theft, and tax evasion are among the most recognized areas. But, there are many other fraud types that have a big impact on our daily lives, yet receive little attention in the media and among
For most people, this time of year means celebrating cherished, personal traditions… helping those less fortunate…flocking to stores in droves…the company holiday party… For the SAS Security Intelligence team, it means identity theft…benefits fraud…unemployment insurance fraud...insider threats. Why? Because next week is International Fraud Awareness Week! And we’re celebrating by
In a city built on hedging your bets, it is fitting that the Analytics 2014 conference kicked off Monday in Las Vegas with a look at all the unscientific ways people try to predict the future. John Elder, Founder and President of Elder Research, Inc., entertained the audience with examples of how
So, you've heard the Hadoop hype and you are looking – or have already invested – into Hadoop. Maybe you have also realized some benefits from the Hadoop ecosystem. But now you want to maximize those benefits by using advanced analytics, or you might have heard about algorithms or machine learning libraries available
Would you build a house without a proper foundation? Most of us wouldn’t dare, but that’s exactly what many retail businesses are doing today. When building a house, if you don’t get the foundation right, paint, wallpaper and fixtures won’t matter much. It’s no different in the retail industry. Success
At the KDD conference this week I heard a great invited presentation called How to Create a $1 billion Model in 20 days: Predictive Modeling in the Real World – A Sprint Case Study. It was presented by Tracey de Poalo from Sprint and former Kaggle President and well known
Looking forward, ten of my SAS colleagues and I are heading to New York City this weekend for KDD 2014: Data Science for the Social Good, which runs August 24-27. This event’s full name is the 20th Association for Computing Machinery Special Interest Group on Knowledge Discovery and Data Mining,
My esteemed colleague and recently-published author Jared Dean shared some thoughts on how ensemble models help make better predictions. For predictive modeling, Jared explains the value of two main forms of ensembles --bagging and boosting. It should not be surprising that the idea of combining predictions from more than one
As a follow up to my previous post that described analytics in one word, I decided to revisit my choice of the word "strategic" with a video. If the adage "a picture is worth a thousand words" is true, you'll like this version even better than the original. Watch the video
My oldest son is in the school band, and they are getting ready for their spring concert. Their fall concert was wonderful; hearing dozens of students with their specific instruments playing together creates beautiful, rich sounding music. The depth of sound from orchestral or symphonic music is unmatched. In data
In my region of North Carolina (Raleigh, Durham, and Chapel Hill) one of the most anticipated times of the year has arrived— the NCAA basketball tournament. This is a great time of year for me, because I get to combine several of my passions. For those who don’t live among crazed college
What's the differences between predictive analytics and basic reporting? Predictive analytics provides insight about what will happen in the future. Basic reporting only looks at past performance. Why is this difference difficult to grasp? It's partly because transitioning to predictive analytics requires change. And most people don't embrace change. Take
I'm a big believer in both/and thinking, so I'll stand squarely in the middle and say that the most important skills for competitive advantage in analytics include a combination of top-notch modeling abilities along with business acumen, critical thinking, and curiosity. I was intrigued by a blog post on this
As more and more data is being collected and analyzed, it becomes even more important to have a strategy in place that will allow you to get value out of your data. Since it's humanly impossible for your brain alone to process fast streaming data, an event stream processing (ESP) engine
Twas the night before "big data," when all through the data center Not an IT supervisor was stirring, not even the help desk on-call. The servers where all humming along nicely in hopes Big data would soon be there. The business users were nestled all snug in their offices
This is the time of year when we like to make predictions about the upcoming year. Although I am optimistic about the potential of predictive analytics in the era of big data, I am also realistic about the nature of predictability regardless of how much data is used. For example, in
