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Die Fortschritte im Bereich Analytics sind rasant. Während vor wenigen Jahren nur wenige Experten Themen wie Machine Learning, Data Mining oder Cognitive Computing diskutierten, beschäftigen sich jetzt auch Nicht-Mathematiker und Fachbereiche mit diesen Begriffen und versuchen, diese einzuordnen. In meinen Gesprächen mit CIOs, zunehmend auch mit Chief Digital Officers, treffe
El Chief Analytics Officer (CAO) es una posición directiva dentro de las compañías, cuya función principal es el análisis estratégico de los datos empresariales. Aunque hoy en día no es un cargo muy popular o un puesto plenamente establecido en algunas organizaciones, el CAO comienza a posicionarse como un rol
Foster youth present a unique challenge to educators. Probably the most famous former foster care child in the world right now is Simone Biles, already one of the more formidable and successful athletes in the history of American sports. As a big fan of women’s gymnastics, Biles has thrilled me with her accomplishments.
"Tap into all your demand signals. Organize. Visualize. Analyze. Predict. Orchestrate. Optimize." The availability and collection of data are compelling companies to invest in demand signal management solutions to take advantage of the vast amount of information to support their planning processes. However, many have not gotten the return on
Since this is an election year, I've been scrutinizing the voter registration data. One thing that surprised me is there are more female voters registered in NC than males. I wondered if this was consistent across all 100 counties, and created some charts to help visualize the data... First I went
Last week I was visiting San Diego for the SANDS conference. I always enjoy this conference as I get to interact closely with the users to hear of their pains and innovative solutions to creating Clinical Graphs. In the conference Ed Barber asked about displaying A1c data along with some
Reference lines on a visualization are used to help identify goals or targets, acceptable or unacceptable ranges, etc; basically any metric that puts a frame of reference around the values on the visualization. The Percent of Total of a metric is used to help identify a part-to-whole relationship. It answers
Companies launch initiatives to upgrade or improve their sales & operations planning and demand planning processes all the time, but many fail to deliver the results they should. Has your forecasting operation fallen short of expectations? Do you struggle with "best practices" that seem incapable of producing accurate, useful results?
What does it really mean when we talk about the concept of a data asset? For the purposes of this discussion, let's say that a data asset is a manifestation of information that can be monetized. In my last post we explored how bringing many data artifacts together in a
Marketingorganisationen befinden sich längst im Wandel der digitalen Transformation. Aber wie weit ist Ihr Unternehmen an den verschieden Schauplätzen der Digitalisierung fortgeschritten? Und wie stehen die Marktbegleiter da? Mit dem Marketing Confidence Quotient (MCQ) bietet SAS Ihnen eine Online-Selbsteinschätzung und gibt Tipps für Best Practices.
There's an old expression "if you can't measure it, you can't manage it" - and while that expression probably isn't universally true (as pointed out in this interesting article), I think having a way to quantify your stress could be useful. I recently read an interesting article about the Holmes-Rahe Life
A colleague approached me with this very important business problem: Every Friday at SAS HQ, SAS cafe staff provides a breakfast goodie in our breakrooms. Often the supplied goodie is delicious, but sometimes it's more...well...healthy. I want to know whether I should eat my breakfast before I leave home on
Asking about the benefits of artificial intelligence and machine learning reminds me a little of the transition to suitcases with wheels. Do you remember lugging around those old suitcases? If not, good for you - this original advertisement from US Luggage will take you back! Thank Bernard Sadow for persistence with his
Data monetization, at its simplest, is the process of turning data into bottom-line value for a company -- often through improving efficiency and/or customer experience, and building customer loyalty as a result. This may sound simple, but in practice, it’s anything but. Good data, advanced analytics and real-time decision making
Machine learning applications for NBA coaches and players might seem like an odd choice for me to write about. Let us get something out of the way: I don’t know much about basketball. Or baseball. Or even soccer, much to the chagrin of my friends back home in Europe. However,