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Rick Wicklin 0
Weighted percentiles

Many univariate descriptive statistics are intuitive. However, weighted statistic are less intuitive. A weight variable changes the computation of a statistic by giving more weight to some observations than to others. This article shows how to compute and visualize weighted percentiles, also known as a weighted quantiles, as computed by

Maggie Miller 0
Trends in analytics with Zencos

Leading up to the Analytics Experience conference, we're going to explore the big trends, hot topics and what's ahead in the industry with some of the companies leading the way. I had the chance to interview David Septoff, CEO of Zencos to get his take on what you need to know about

Data Management
Tom Davenport 0
5 steps to analytic modernization

Some organizations I visit don’t seem to have changed their analytics technology environment much since the early days of IT. I often encounter companies with 70s-era base statistical packages running on mainframes or large servers, data warehouses (originated in the 80s), and lots of reporting applications. These tools usually continue

Data Management
Matthew Magne 0
What can a garage storage system, kayak and surfboard teach you about data modernization?

Two years ago, I found myself the proud, first-time owner of a garage. My wife and I quickly started to add new items to the garage – a battery-powered lawn mower, two beach cruisers and four Tommy Bahama beach chairs. They were stored with ease. What a fantastic world I'd been missing out on. But it wasn't long before we outstripped our

Analytics
Tülay Stecher 0
Analysieren statt Zählen – mit Webinar

Ich wette, dass bei einer Umfrage „Wer mag unstrukturierte Textdaten analysieren?“ die meisten antworten würden: „Ich eher nicht.“ Und das hat einen guten Grund. Denn diese Frage bedeutet: Wenn du unstrukturierte Daten in Textform analysierst, musst du viel Zeit mitbringen. Zeit für die manuelle Regelerstellung in Systemen wie Excel, Zeit

Rick Wicklin 0
Halley's method for finding roots

Edmond Halley (1656-1742) is best known for computing the orbit and predicting the return of the short-period comet that bears his name. However, like many scientists of his era, he was involved in a variety of mathematical and scientific activities. One of his mathematical contributions is a numerical method for

Michael Probst 0
Elektromobilität – ganz oder gar nicht digital

In einem vorherigen Blogpost bin ich darauf eingegangen, welche Möglichkeiten Elektromobilität bietet. Autos tauschen sich aus, wo die nächste Ladestation steht, was hinter der Kurve wartet, oder das Auto kann mit der Werkstatt in Kontakt treten, um einen Wartungstermin zu vereinbaren. Und darauf, wie sich ganze Geschäftsmodelle verändern: Der Automobilhersteller

Colin Gray 0
It’s not fair…

Gender and race discrimination has been banned in most countries for many years, although gender did have specific exclusions for the insurance industry, where the risk for males and females could be shown to substantially different (e.g. females have a higher life expectancy than males). In the European Union (EU)

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Big data, IoT and data warehouse?

It's the age of big data and the internet of things (IoT), but how will that change things for insurance companies? Do insurers still need to consider classic data warehouse concepts based on a relational data model? Or will all relevant data be stored in big data structures and thus

Students & Educators
Chris Hemedinger 0
What were your #FirstSevenLanguages?

My computer geek colleagues are boasting about their humble beginnings by sharing lists of their first seven programming languages. You can find these under the hashtag #FirstSevenLanguages. COBOLPL/1SASIFPSAPL370 AssemblerCSQLLisp#FirstSevenLanguages — Paul Kent (@hornpolish) August 16, 2016 From what I've seen of these lists, the programming languages that appear are very

Work & Life at SAS
Amanda Pack 0
Recreate to Feel Great!

This week, we have a NEW author!  Introducing Dany Losh, a Senior Manager at the RFC.  Dany as enjoyed working at the RFC for over 25 years sharing her passion of recreation and fitness with SAS employees and currently manages our Recreation, Leisure, and On-Site Services Team.  Today Dany is

Rick Wicklin 0
The smooth bootstrap method in SAS

Last week I showed how to use the simple bootstrap to randomly resample from the data to create B bootstrap samples, each containing N observations. The simple bootstrap is equivalent to sampling from the empirical cumulative distribution function (ECDF) of the data. An alternative bootstrap technique is called the smooth

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