Bissantz ponders Bissantz ponders The legend of Amazon The recommendation lists at Amazon are legendary, and how they work is almost as big a secret as the Coca-Cola formula. Just kidding – it’s not, of course. We’ll explain the “magic formula” [...] Learn more
Bissantz ponders Bissantz ponders Big Data, Big Impact? Whether it’s hype or not, Big Data is the revival of data mining – and one that has been long overdue. Big Data is bringing new momentum into data-driven corporate cultures. But knowledge alone is [...] Learn more
Bissantz ponders Bissantz ponders More numbers! More instinct! On May 27th, we will discuss the topic ‘Management between Intuition and Automation’ at Hotel de Rome in Berlin. Human intuition filters and summarizes details into signals. Business Intelligence [...] Learn more
Bella consults Bella consults Deceiving with diapers The magazine CHIP from Munich reports: "Believe it or not, most discount stores put beer and diapers fairly close to each other." That's due to Data Mining. Because: Young men come. Sent by young women [...] Learn more
Bissantz ponders Bissantz ponders Numbers people vs. graphics people Some people think that numbers people read data differently than graphics people. Is that true? Does this sub-division of the homo numericus really exist? And if so, do we need to present information [...] Learn more
Bella consults Bella consults "And the Oscar goes to ..." He has won the Oscar in informatics: the 2007 Innovation Prize of Gesellschaft für Informatik (GI) for his work on "Hybrid Data Mining". Learn more
Bissantz ponders Bissantz ponders Can we stop traffic lights? Decision-makers who receive a traffic light for support really don’t have anything more to decide. The report author already made the judgment call. Worse yet, decision-makers don’t even have the [...] Learn more
Bissantz ponders Bissantz ponders Statistical thinking vs. statistical rituals, Part II What constitutes statistical thinking? As we take another look at our margarine marketing example, we find that the key is just plain commonsense. Learn more
Bissantz ponders Bissantz ponders Comparisons, Part II - Avoiding visual pathos We often encounter cartographic visualizations as a way to explain spatial comparisons. Although they are great eye-catchers, there are rather difficult to use (well). Learn when (and if!) it makes sense [...] Learn more
Bissantz ponders Bissantz ponders Data Mining with Rankings II In the previous parts of this series (iPod, PowerSearch) I demonstrated how simple rankings can deliver much more information than initially meets the eye. This time we will create a ranking across all [...] Learn more
Bissantz ponders Why 2.0? Welcome to Business Intelligence 7.0! As most people in relationships know all too well (“You’re just like your mother!“), your selection of opening words will make or break any discussion. This holds true in the IT industry as well [...] Learn more
Bissantz ponders Trends aren’t productive Here is good example of information density to the extreme! Professor Dr. Peter Mertens, who was the first professor for information systems in Germany in 1968, created 5 printed pages of knowledge every [...] Learn more
Bissantz ponders The myth of data mining Warum Männer Bier und Windeln nicht zusammen kaufen und was wir dennoch aus modernen Sagen lernen können. Learn more
Bissantz ponders The myth of data mining Why men don't buy beer and diapers at the same time, and what we can still learn from urban legends. Learn more