The importance of data quality to MDM
Jim Harris explains why data quality is such a fundamental aspect of master data management.
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Simulate lognormal data in SAS
A SAS customer asked how to simulate data from a three-parameter lognormal distribution as specified in the PROC UNIVARIATE documentation. In particular, he wanted to incorporate a threshold parameter into the simulation. Simulating lognormal data is easy if you remember an important fact: if X is lognormally distributed, then Y=log(X)
How to add rivers and lakes to your SAS maps
Water is in the news more & more lately - people seem to either have too much, or too little, at any given time. Therefore being able to plot rivers and lakes on a map could be a very useful skill to add to your graphical bag of tricks. A few
Students visualize aircraft data in real time using SAS
What do you get when you combine analytics, aviation and the Internet of Things? A learning experience that leaves everyone flying high! At Data on the Fly, 25 area high school students had the opportunity to learn how technology has changed – and continues to change – the aviation industry.
Challenges of moving Hadoop into production
David Loshin discusses two common roadblocks in moving Hadoop from proof-of-concept to production.
Timeline of living US presidents
Quick! What is the next term in the numerical sequence 1, 2, 1, 2, 3, 4, 5, 4, 3, 4, ...? If you said '3', then you must be an American history expert, because that sequence represents the number of living US presidents beginning with Washington's inauguration on 30APR1789 and
How to download and convert CSV files for use in SAS
In his recent article Perceptions of probability, Rick Wicklin explores how vague statements about "likeliness" translate into probabilities that we can express numerically. It's a fun, informative post -- I recommend it! You'll "Almost Certainly" enjoy it. To prepare the article, Rick first had to download the source data from
Andar en la nube: una buena idea
Los gurús del mundo corporativo no dejan de repetir un veredicto: en los mercados digitales de nuestros días, quien analice los datos de su consumidor y de su entorno de negocios estará en posición de alcanzar el éxito. Creer en el planteamiento es fácil. Como lo han señalado algunos estudios,
Taming the omnichannel data monster
Kim Kaluba describes how a customer data strategy can help you achieve an omnichannel vision.
Is big data just a source? Or is Hadoop ready for MDM?
Joyce Norris-Montanari poses the question: Is Hadoop/big data technology actually ready for MDM?
Creating maps with a zoomed inset, in SAS
While attending SAS Global Forum, a user asked me about creating a map with a zoomed inset map. This is a topic many users might be interested in, so I decided to create an example and share it. But first, I had to decide which map to use. I thought
Results-as-a-Service – der Turbo für intelligenteres Business
Ein großer Teil unseres Lebens besteht darin, möglichst intelligente Entscheidungen zu treffen. Eine echte Herausforderung angesichts der Fülle an Informationen und Daten, der wir heute ausgesetzt sind. Im Geschäftskontext heißt das: Nur wenn evidenzbasierte Entscheidungsprozesse tief in der Unternehmenskultur (unabhängig von Typ und Menge der Daten) verankert werden, lässt sich
Die Uhr tickt – Zeit für einen Umsetzungsplan zur EU-Datenschutz Compliance
In nahezu einem Jahr findet die neue EU-Datenschutz-Grundverordnung (DSGVO) Anwendung. Wer bisher dachte, das hat noch Zeit und wird nicht so heiß gegessen, wie es gekocht wird, der wurde von der Ankündigung des Bayerischen Landesamts für Datenschutzaufsicht überrascht: Bayern kündigt schon erste Kontrollbesuche an. „Abwarten und nichts tun ist mehr
DataViz Meetups: "Old-fashioned Companies sprechen wir old-fashioned an”, antwortet er!
Ich sitze im Büro und fingere durch den Papierberg aus meinem Postfach. Während ich ein Briefchen nach dem anderen ungelesen in den Mülleimer werfe, wundere ich mich, dass es so etwas wie Postfächer in einem Unternehmen, das Analyticssoftware herstellt, überhaupt noch gibt. Warum ist das so, frage ich mich belustigt.
When do fatal crashes happen?
I recently saw an interesting data visualization on the flowingdata website, which analyzed & compared the causes of fatal crashes in the US, by month and time-of-day. At first I thought it was a really cool visualization, but after I studied it a while, I realized that I had misinterpreted
SAS Forum 2017 - Gastbeitrag von Georg Heeren zu Analytics-as-a-Service
Digitalisierung braucht Analytics. Aber was braucht Analytics? Unter diesem Motto ist die mayato GmbH beim SAS Forum in Bonn am 29. Juni 2017 als Partner vertreten. Heute stellt Geschäftsführer Georg Heeren seine Firma in einem Gastbeitrag vor. „Kunden, die diesen Artikel gekauft haben, kauften auch: …“ oder „Kunden haben außerdem
Perceptions of probability
If a financial analyst says it is "likely" that a company will be profitable next year, what probability would you ascribe to that statement? If an intelligence report claims that there is "little chance" of a terrorist attack against an embassy, should the ambassador interpret this as a one-in-a-hundred chance,
Do SAS Big Data credentials equal big professional value?
When I first wrote this blog post in early May 2017, it was to ask SAS users holding SAS “Big Data” certifications to participate in the CertMag Salary Survey Plus Big Data Edition. The response was overwhelming and thanks to all of you that participated. Now that the results are in, I wanted
Operational vs. analytical MDM
.@philsimon chimes in on some oft-overlooked differences.
The spreadsheet: Friend or foe?
For many years the humble spreadsheet has held many different roles and responsibilities supporting finance, marketing, sales -- pretty much every department in your business. There's always someone with a “magic spreadsheet,” but how effective is this culture that always uses the same format to consume data? My view of
Split data into groups that have the same mean and variance
A frequently asked question on SAS discussion forums concerns randomly assigning units (often patients in a study) to various experimental groups so that each group has approximately the same number of units. This basic problem is easily solved in SAS by using PROC SURVEYSELECT or a DATA step program. A
Autotuning: How machine learning helps optimize itself
Machine learning seems to be the new hot topic these days. Everybody's talking about how machines are beating human players in chess, Jeopardy, and now even Go. In the future, artificial intelligence will drive our cars and our jobs will be taken over by robots. There’s a lot of hype,
Cracking SAS Data Scientist Certification Code
The SAS Data Scientist Credential SAS Data Science Academy brings in a complete set of certifications which enables somebody to be qualified as “Data Scientist”. There is full training support , blended mode of learning , case studies, projects and practice exams by the academy. By successfully passing certification exams,
이미지 인식, 비즈니스를 위해 준비된 첨단 데이터 과학
‘이미지 인식(Image recognition)’, 머신러닝과 인공지능(AI)을 포함한 기술 산업 전반을 뜨겁게 달구고 있는 주요 이슈입니다. 특히 컴퓨터 비전, 즉 영상 처리 기술은 무인 자동차, 얼굴 인식, 의료 결과 예측 등 수많은 혁신 기술들을 현실화하는 핵심 요소인데요. 그 가운데 크고 작은 많은 기업들은 이미지 인식과 관련된 다양한 기반 기술과 프로세스의 가능성을 실현하기 위해
How is MDM different from data warehousing?
Do you know how master data management and data warehouses are different? Jim Harris explains.
Tripping over text icebergs
Recently I backed into a hotel parking spot after returning from a customer dinner. It was dark and rainy, and I was tired from traveling. My mind wandered until I heard a shrill “BEEP BEEP BEEP” coming from my rental car. I looked down at the dashboard’s rear-view camera, and
Asertividad en el pronóstico vacacional = Aumento en los ingresos
I. Situación del Cliente Cada año, millones de clientes miembros de RCI tienen la oportunidad de intercambiar el tiempo compartido que poseen por cualquier otra ubicación de tiempo compartido dentro del programa RCI Weeks. Por supuesto, no todas las ubicaciones tienen igual valor dentro del programa de intercambio, lo que
Feeding the hungry, after a flood
In the aftermath of a natural disaster, most people want to help by donating supplies, money, etc. And then it becomes a matter of logistics - getting all those donations to the people who need them. We recently had several days of rain and flooding in North Carolina, and I
Visualize a design matrix
Most SAS regression procedures support a CLASS statement which internally generates dummy variables for categorical variables. I have previously described what dummy variables are and how are they used. I have also written about how to create design matrices that contain dummy variables in SAS, and in particular how to
The Moneyball effect moves from the field to industry
Billy Beane attained fame in baseball and analytics circles long before Brad Pitt portrayed him in the 2011 film Moneyball. In fact, Beane was making quite the name for himself prior to Michael Lewis’s 2004 book of the same name. It’s no overstatement to claim that, as general manager (GM)