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Data Management
Karen Lee 0
We’ve come a long way, baby!

How Internal Communications got into the video business. Everybody loves video. Well, maybe not everybody, but judging by the popularity of YouTube and the ubiquity of Web videos in general, I’d have to conclude that a mighty large chunk of the population loves – or at least likes – it.

Data Management
Alyssa Farrell 0
A must-read for petroleum professionals

Oil companies are being forced to explore in geologically complex and remote areas to exploit more unconventional hydrocarbon deposits.  New engineering technology has pushed the envelope of previous upstream experience.  No guidebook existed on how computing methodologies can contribute to E&P performance at reduced risk.  Until now. A new book

SAS Colombia 0
Cinco características esenciales de la computación en la nube

Puede llamarlo transformación, cambio de paradigma, evolución o revolución. No importa  qué nombre reciban: en la actualidad, los servicios en la nube están cambiando la realidad de los negocios. La posibilidad y necesidad de acceder a la información desde cualquier sitio, en cualquier momento y con prácticamente cualquier dispositivo, ha

Gastbeitrag 0
Gastbeitrag: "Being Data Driven with Hadoop"

We asked Lars George, EMEA Chief Architect at Cloudera, to share his opinion about Hadoop, Big Data and future market trends in Business Analytics. For all those who want to know more about Hadoop we recomment this TDWI whitepaper and how to apply Big Data Analytics.  The last few years

Students & Educators
Nadja Young 0
Teacher effectiveness culture shifts in Lubbock ISD schools – Part 1: The Teachers

Improving teacher effectiveness is no simple task. Whether a part of a formal evaluation system or for formative feedback, looking at student growth data can be a valuable part of the development process for teachers and administrators. Lubbock Independent School District (Lubbock ISD) uses SAS® EVAAS to improve teaching and

Analytics
Leo Sadovy 0
Analytics – Easy as One, Two, Tree

Insights from decision trees and other basic analytic techniques show that you don’t always need complex analytics to solve business problems and add value.  This was the message from Dr. James (Jim) Foster, Director of Research and Process Development, Archer Daniels Midland (ADM), at last month’s inaugural IE Group ‘Manufacturing Analytics

Data Management
Jeff Hasmann 0
Series: BCBS 239 - Principle 9

Principle 9: Risk management reports should communicate information in a clear and concise manner. Reports should be easy to understand yet comprehensive enough to facilitate informed decision-making. Reports should include meaningful information tailored to the needs of the recipients. While the data management and data aggregation principles have been heavily

Rick Wicklin 0
Permute elements within each row of a matrix

Bootstrap methods and permutation tests are popular and powerful nonparametric methods for testing hypotheses and approximating the sampling distribution of a statistic. I have described a SAS/IML implementation of a bootstrap permutation test for matched pairs of data (an alternative to a matched-pair t test) in my paper "Modern Data

Guido Oswald 0
Data Day Zürich - wir laden herzlich ein!

Da war doch mal was, Sie erinnern sich, Hoodiejournalismus?! In dieser Diskussion über Digital gegen Print, jung gegen alteingessen, #hoodie vs. #schlipsy, über was ist Premium oder was ist hautnah dabei, über was erscheint modern, zeitgemäß und innovativ oder was bezahlt die Miete am Ende des Monats, ist ein Punkt

Sonal Singh 0
Series: BCBS 239 – Principle 8

Principle 8: Comprehensiveness -  Risk management reports should cover all material risk areas within the organization. The depth and scope of these reports should be consistent with the size and complexity of the bank’s operations and risk profile, as well as the requirements of the recipients. One of the four

Data Management
Vickram Panwar 0
Series: BCBS 239 - Principle 7

Principle 7: Accuracy - Risk management reports should accurately and precisely convey aggregated risk data and reflect risk in an exact manner. Reports should be reconciled and validated. Successful demonstration of Principle 7 requires senior management to rely upon the information presented in risk reporting. Since forward-looking strategic decisions are

Rick Wicklin 0
Never multiply with a large diagonal matrix

I love working with SAS Technical Support because I get to see real problems that SAS customers face as they use SAS/IML software. The other day I advised a customer how to improve the efficiency of a computation that involved multiplying large matrices. In this article I describe an important

Data Management
David Pope 0
Your "SAS view" on steroids

Data federation is a relatively new term used to describe a form of data virtualization. Data virtualization, however, is not new. It has been around since at least the 1960's when virtual memory was introduced to simulate additional memory beyond what was physically available on a machine.  While data federation is a

Analytics | Students & Educators
Nadja Young 0
Top rated value-added school: Extreme test prep or well-rounded experience? A student’s perspective

A recent Charlotte Observer article provided a thoughtful investigation of growth and achievement in North Carolina’s Charlotte Mecklenburg Schools). The article juxtaposed two very different, yet highly effective, schools. The first, Ranson Middle School, is a low-achieving school with 84% poverty that demonstrated the highest academic growth of any similar

SAS Colombia 0
10 razones para optimizar la gestión del riesgo

Las crisis financieras han ocurrido desde los inicios de la historia mundial y forman parte de la naturaleza de los ciclos económicos. Es casi imposible evitarlas, pero sí se pueden desarrollar mecanismos de control y prevención que permitan al sistema financiero fortalecerse y mitigar sus efectos y propagación. Según Javier

Jim Harris 0
A double take on sampling

My previous post made the point that it’s not a matter of whether it is good for you to use samples, but how good the sample you are using is. The comments on that post raised two different, and valid, perspectives about sampling. These viewpoints reflected two different use cases for data,

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