Tag: analytics

Analytics
Amanda MacDowell 0
A case for real-world evidence

For health and life sciences organizations, discussions about big data include gaining value from that data in the form of real-world evidence. Consider for a moment the amount of healthcare data that exists today thanks to the adoption of electronic health records. Then think about the future with data from

Analytics
Tobias Nittel 0
Software stirbt - alles wird zu Software

Alles wird zu Software : Wir hören es derzeit überall - Firmen erfinden sich neu. Ob Automobil, Kraftwerk oder Einzelhändler, alle Geschäftsmodelle sollen sich vom Produkthersteller oder -verteiler, hin zum Services-Geschäft bewegen. Über die USA weiss man ja, dass fast 80% des Bruttosozialproduktes aus den Dienstleistungen kommen. Oftmals weniger bekannt

Analytics
SAS Colombia 0
Los SÍ y los NO del Big Data

Para nadie es un secreto que los ejecutivos están cambiando su percepción acerca del Big Data. Los líderes empresariales reconocen cada vez más la importancia de capturar y analizar estratégicamente los datos y esto se debe a una amplia serie de razones. Una de ellas es el acceso a nuevas

Data Management
Jim Harris 0
Analyzing the data lake

In my previous post I used junk drawers as an example of the downside of including more data in our analytics just in case it helps us discover more insights only to end up with more flotsam than findings. In this post I want to float some thoughts about a two-word concept

Analytics
Leo Sadovy 0
Ye Olde information overload

“There’s no such thing as information overload - there is only filter failure”.  ~ Internet scholar Clay Shirky Information overload is not just a recent phenomenon, it entered into human experience in the middle of the 15th century with Gutenberg and his printing press, and we’ve been devising ways to cope

Analytics
Stuart Rose 0
Demystifying analytics

There is no doubt that analytics is an overused and often abused term. So what does really analytics means? In part 2 of a series of articles on the analytical lifecycle, this blog will highlight some of the common and emerging techniques used to analyze data and build predictive models

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