Analytical data preparation
To do their jobs well, Joyce Norris-Montanari says users doing analytical data preparation need access to both standardized and raw data.
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¿Cómo se beneficia el consumidor final del Big Data?
Las herramientas convencionales para el desarrollo de estrategias de marketing ya no son los suficientemente capaces de analizar en profundidad y al detalle todos los datos que son generados a diario por los consumidores. Es por esta razón que la analítica avanzada es una de las mejores aliadas para las empresas
How to understand weight variables in statistical analyses
How can you specify weights for a statistical analysis? Hmmm, that's a "weighty" question! Many people on discussion forums ask "What is a weight variable?" and "How do you choose a weight for each observation?" This article gives a brief overview of weight variables in statistics and includes examples of
Education analytics: The benefits of using data visualization and analytics
For our third installment in this blog post series, let’s continue our journey to learn more from three SAS education customers. Today, we'll hear about the benefits their users and institutions have received by using SAS for data visualization and analytics. In this post, you'll hear from: Linda Sullivan, Assistant Vice President
SAS and sports analytics (plotting kayak/SUP race results)
I recently paddled in a boat race, and was wondering how I did compared to all the other paddlers. And being a Graph Guy, I decided I should find a cool way to graph the data ... Here's some background information ... There's a great organization called Bridge II Sports
인공지능(AI) 활용 엔터프라이즈 분석 플랫폼 ‘SAS 바이야(SAS Viya)’
분석이 매 순간, 데이터가 존재하는 모든 곳에 적용된다면 어떤 일들이 가능해질까요? 오늘날 우리는 데이터가 사회와 경제를 움직이는 ‘데이터 이코노미’ 시대에 살고 있습니다. IDC는 오는 2025년 전 세계 데이터 양이 현재의 10배에 달하는 163제타바이트(ZB)에 이를 것으로 전망했는데요. 그러나 데이터는 그 자체만으로 유용하지 않습니다. 모든 데이터는 대기 시간과 유효 기간의 속성을 지니기
Bringing intelligence to the Internet of Things
One of the best parts of my job is hearing about all the cool ways people are using data for good. Increasingly, many of these stories are related to the Internet of Things, including: Smart pills that help patients stick to their treatment regimens. These ingestible sensors can monitor patients’
Is demand sensing and shaping a key component of your company’s digital supply chain transformation?
Depending on who you speak with you will get varying definitions and opinions regarding demand sensing and shaping from sensing short-range replenishment based on sales orders to manual blending of point-of-sales (POS) data and shipments. Most companies think that they are sensing demand when in fact they are
Most popular international destination, from each US state
Orbitz recently published a map showing the most popular international travel destination for each of the 50 US states. It was an interesting map ... but of course, me being the Graph Guy, I had to pick it apart and create my own version. Follow along, and explore this interesting
Data-driven simulation
In a large simulation study, it can be convenient to have a "control file" that contains the parameters for the study. My recent article about how to simulate multivariate normal clusters demonstrates a simple example of this technique. The simulation in that article uses an input data set that contains
Analítica personal: un nuevo nivel de la analítica
Es una realidad. Según IDC el mercado mundial de Big Data Analytics está creciendo a un ritmo de 23,1 % cada año y llegará a casi 50 mil millones de dólares en el 2019. En la región latinoamericana la cultura analítica ya ha permeado de manera importante industrias como la
‘SAS 애널리틱스 익스피리언스 2017 워싱턴’ 데이터 분석의 미래를 그리다
링컨 기념관과 워싱턴 기념비부터 스미소니언 박물관까지, 워싱턴 DC는 미국의 역사를 관통하는 세계적인 랜드마크인데요. 지난 9월 18일부터 20일, 이 유서 깊은 도시에서 미래 데이터와 분석 혁신에 대한 뜨거운 논의가 펼쳐졌습니다. 바로 전 세계 수천여 명의 분석 전문가, 산업별 리더, 세계적인 석학, 기업 경영진 및 실무진들이 한자리에 모인 'SAS 애널리틱스 익스피리언스(Analytics Experience)
Will the IoT live up to the hype?
Will the IoT live up to the hype? Yes. A most resounding YES. In fact, it will exceed the hype, because we don't even know all the IoT possibilities yet. We don’t know what we don’t know, and that lack of imagination limits even our hype. Where we are with
Data on demand or data as a service?
David Loshin describes how data as a service supports fast deployment, easy accessibility and data reuse.
Algorithmic marketing attribution and conversion journey analysis [Part 3]
In Part 1 and Part 2 of this blog posting series, we discussed: Our current viewpoints on marketing attribution and conversion journey analysis in 2017. The selection criteria of the best measurement approach. Introduced our vision on handling marketing attribution and conversion journey analysis. We would like to conclude this
Experimente sus nuevas posibilidades con analítica
Hacer un acercamiento a ciegas con un cliente, esperar meses para decidir lanzar o no un producto o gastar semanas e incontables horas hombre en levantar estadísticas que permitan identificar potenciales mejoras en productividad son historias selladas y enterradas. El mundo de los negocios se mueve hoy al ritmo de los
The 'virtual wall' along the US/Mexican border
Recent news reports indicate that the number of illegal immigrants apprehended along the US/Mexican border has dropped significantly since Trump took office. So, even though Trump hasn't had time to build a physical wall, perhaps there's a virtual wall in place now (built from the change in attitudes)? I've seen
Machine learning concepts: styles of machine learning
This is the first in a series of posts about machine learning concepts, where we'll cover everything from learning styles to new dimensions in machine learning research. What makes machine learning so successful? The answer lies in the core concept of machine learning: a machine can learn from examples and
How data is helping save the world’s most endangered mammals
When an extremely rare aye-aye lemur named Agatha was born undersized at the Duke Lemur Center earlier this year, there was immediate cause for concern. There are only 23 captive aye-ayes in the US, and the wild population is at “very high risk of extinction” according to the International Union for
Simulate multivariate normal data in SAS by using PROC SIMNORMAL
My article about Fisher's transformation of the Pearson correlation contained a simulation. The simulation uses the RANDNORMAL function in SAS/IML software to simulate multivariate normal data. If you are a SAS programmer who does not have access to SAS/IML software, you can use the SIMNORMAL procedure in SAS/STAT software to
#Schönwetterfahrer – oder was man im Urlaub über Datenvisualisierung lernen kann
Datenvisualisierung – Manchmal braucht man einfach extrinsische Motivationsfaktoren, um andere Wege zu gehen. Die Zweiradreisenden unter uns kennen und schätzen die besondere Art der Fortbewegung (ohne Blechdach) mit all ihren Vor- und Nachteilen. Eine begrenzte Gepäckkapazität, fehlende Klimatisierung, größere Unfallgefahr usw. sind Faktoren, mit denen man dabei leben muss. Was
Analítica, machine learning, inteligencia artificial, computación cognitiva ¿Cuál es cuál?
Las vemos a diario en Twitter, nuestro feed de noticias en Facebook, en foros de LinkedIn o en los principales medios de negocios, tecnología y tendencias que consumimos. Todas son tecnologías capaces de transformar los negocios, la manera en que tomamos decisiones y varias de las más importantes actividades de
데이터 과학자가 뽑은 "머신러닝 알고리즘 개발 베스트 프랙티스 2탄"
현존 최고의 데이터 과학자들이 뽑은 머신러닝 알고리즘 개발 베스트 프랙티스! 그 두 번째 시간입니다. 시리즈를 처음 접하시는 경우 블로그 1탄을 참고해주세요. 기본기 다지기 희귀한 이벤트 탐지하기 수많은 모델 결합하기 모델 적용하기 국소 최적해에 빠지는 것을 방지하기 위해 모델 오토튜닝하기 시간 효과(temporal effect) 관리하기 '일반화' 이해하기 Chapter 5. 국소 최적해에 빠지는 것을 방지하기
Celebrating Hispanic Heritage Month
This morning I had changua for breakfast. This typical breakfast soup is made with leche (milk), agua (water), cebolla (onion), cilantro, pan (bread) and un huevo tibio (a poached egg). Changua is a common Colombian dish that my parents served often. They are from Bogotá, so we often had other
Analítica, el factor estrella en la ecuación de transformación del negocio bancario
84412925 - business team investment trading do this deal on a stock exchange. people working in the office. Caminar por la calle y que su celular le dé una notificación de alguna promoción especial de ese almacén que le gusta, que está solo a algunos pasos de usted y en
How 20 girls turned into 40,000 programmers
Reshma Saujani, of Girls Who Code, doesn’t have the background you’d expect for the person leading an organization whose mission is to inspire, educate and equip young women with computing skills to pursue 21st-century opportunities. She’s not a coder or computer science graduate, and she grew up terrified of math
Dutch Data Science, part 2: Veneficus
The second part of this series takes us to Rotterdam, main port of Europe and the residence of Veneficus, a 10-year young and ambitious boutique analytics firm. They have already scored accolades in the Dutch FD Gazellen Award for fast growing companies. In addition, they also won a ‘Best Employer’
Amusement park attendance (could Wikipedia be wrong?!?)
How do the North American amusement parks compare in popularity? If this question was to come up during a lunch discussion, I bet someone would pull out their smartphone and go to Wikipedia for the answer. But is Wikipedia the definitive answer - how can we tell if Wikipedia is wrong?
Fisher's transformation of the correlation coefficient
Pearson's correlation measures the linear association between two variables. Because the correlation is bounded between [-1, 1], the sampling distribution for highly correlated variables is highly skewed. Even for bivariate normal data, the skewness makes it challenging to estimate confidence intervals for the correlation, to run one-sample hypothesis tests ("Is
How Cleveland Clinic and Cox Automotive are transforming with analytics
Healthcare, like many industries, is in the midst of a paradigm shift, says Chris Donovan, Executive Director of Enterprise Information Management & Analytics for the Cleveland Clinic. "Historically, healthcare was really about intervention, and about taking care of you when you were sick and getting you better." That type of care