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Analytics

Find out how analytics, from data mining to cognitive computing, is changing the way we do business

Advanced Analytics | Analytics | Machine Learning | Programming Tips

Nelson Grajales

Nelson GrajalesDecember 11, 2019 0

Machine Learning with SASPy: Exploring and Preparing your data - Part 3

Parts 1 and 2 of this blog post discussed exploring and preparing your data using SASPy. To recap, Part 1 discussed how to explore data using the SASPy interface with Python. Part 2 continued with an explanation of how to prepare your data to use it with a machine-learning model.

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Analytics | Learn SAS | Machine Learning | Programming Tips

Nelson Grajales

Nelson GrajalesDecember 11, 2019 0

Adding SAS® procedures to the SASPy interface to Python

Bringing the power of SAS to your Python scripts can be a game changer. An easy way to do that is by using SASPy, a Python interface to SAS allowing Python developers to use SAS® procedures within Python. However, not all SAS procedures are included in the SASPy library. So,

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Analytics | Data Management

3 people discuss how to prepare data for analytics

Jeff StanderDecember 11, 2019 0

3 ways to prepare data for analytics: How to choose the best option

Jeff Stander helps us understand the different options of preparing data for analytics.

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Analytics | Programming Tips

Rick WicklinDecember 11, 2019 0

Swap elements in binary matrices

Binary matrices are used for many purposes. I have previously written about how to use binary matrices to visualize missing values in a data matrix. They are also used to indicate the co-occurrence of two events. In ecology, binary matrices are used to indicate which species of an animal are

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Analytics | SAS Events

Meetup SAS and PyData Südwest

Andrea DeinertDecember 10, 2019 0

Meetup #5 - PyData Südwest and SAS together in January

If you have an interesting topic for a 20 minutes lightning talk, please feel free to contact us.

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Analytics

David PopeDecember 6, 2019 0

The Data Science and AI Song

Another year, another traditional Christmas song or carol turned into a fun technology-related version! This is the sixth year and my ninth song. I hope you enjoy your 2019 holiday song, based on this famous tune. The Data Science and AI Song Computer vision processing on an open stack The

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Analytics | Data Visualization

Rick WicklinDecember 5, 2019 0

Longitudinal data: The mixed model

This is a second article about analyzing longitudinal data, which features measurements that are repeatedly taken on subjects at several points in time. The previous article discusses a response-profile analysis, which uses an ANOVA method to determine differences between the means of an experimental group and a placebo group. The

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Advanced Analytics | Analytics | Machine Learning

Sophia RowlandDecember 4, 2019 0

SAS and R Integration for Machine Learning

SAS Viya is a cloud-enabled, in-memory analytics engine which allows for rapid analytics insights. Viya utilizes the SAS Cloud Analytics Services (CAS) to perform various actions and tasks. Best of all, CAS is accessible from various interfaces including R. In this blog, I will go through a few blocks one of my notebooks, which moves through an analytics workflow using R and SAS.

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Analytics

Business Analytics Portugal

Business Analytics PortugalDecember 4, 2019 0

Mergulhar nas Plataformas Analíticas e Big Data

A Transformação Digital deixou para trás muitas lacunas processuais e documentais, e trouxe novos desafios à comunidade científica e ao mundo dos Dados de organizações de Tecnologia e de quem dela faz uso para governação de Informação. Neste artigo o paradigma sai do campo do hardware, do storage e do

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Energy & Utilities

Analytics

Rick WicklinDecember 3, 2019 0

Longitudinal data: The response-profile model

Longitudinal data are used in many health-related studies in which individuals are measured at multiple points in time to monitor changes in a response variable, such as weight, cholesterol, or blood pressure. There are many excellent articles and books that describe the advantages of a mixed model for analyzing longitudinal

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Analytics

Sertalp B. CayDecember 3, 2019 0

Fastest, cheapest, greenest: How will football fans choose which matches to attend?

In just over six months, football fans across Europe face a logistical maze: how to follow their favourite teams from stadium to stadium as games are played all over the continent. We described the challenge and optimisation approach we took in a separate piece. In this gallery, we walk

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Analytics

Sertalp B. CayDecember 3, 2019 0

1 tournament, 12 countries: A logistical maze?

Football fans around the world have something exciting to look forward to, with the European Championship scheduled to take place in June and July 2020. Twenty teams out of 24 have already qualified for the tournament, and after last Saturday's draw, the teams and fans are now getting ready to

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Sports & Entertainment

Analytics | Programming Tips

Yinliang WuNovember 27, 2019 0

Implementing HMA, WMA & SMA with 27 lines of SAS code

With time series data analysis, we can apply moving average methods to predict data points without seasonality. This includes Simple Average (SA), Simple Moving Average (SMA), Weighted Moving Average (WMA), Exponential Moving Average (EMA), etc. For series with a trend but without seasonality, we can use linear, non-linear and autoregressive

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Analytics | Data Visualization

Rick WicklinNovember 27, 2019 0

Evaluate a function on a linear subspace

This article discusses how to restrict a multivariate function to a linear subspace. This is a useful technique in many situations, including visualizing an objective function that is constrained by linear equalities. For example, the graph to the right is from a previous article about how to evaluate quadratic polynomials.

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Analytics | Data Management

Businessman considers how business glossaries make analytics better

Jim HarrisNovember 25, 2019 0

Top 5 ways business glossaries make analytics better

A business glossary improves data quality – one of the top five ways it makes analytics better.

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Analytics

En crecimiento y aplicación de regulación, la analítica será el gran aliado de la banca en este 2018

Héctor CoboNovember 25, 2019 0

Tecnología analítica: empezar con los objetivos de negocio

Los datos, y sobre todo su significado y usabilidad, se han ido transformando con el tiempo. Anteriormente hablar de datos era pensar en unos y ceros, en tablas estáticas o incluso en materiales que no se aprovechaban. Hoy, pensar en datos es pensar en la fuente principal de las historias,

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Banking | Communications | Education | Energy & Utilities | Government | Health Care | Hospitality | Manufacturing | Retail | Sports & Entertainment | Travel

Analytics | Data Visualization | Programming Tips

Rick WicklinNovember 25, 2019 0

Evaluate a quadratic polynomial in SAS

What is an efficient way to evaluate a multivariate quadratic polynomial in p variables? The answer is to use matrix computations! A multivariate quadratic polynomial can be written as the sum of a purely quadratic term (degree 2), a purely linear term (degree 1), and a constant term (degree 0).

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Analytics

Leo SadovyNovember 22, 2019 0

Climate change: Hurricanes, acidification and extinction

“Ocean acidification is sometimes referred to as global warming's equally evil twin.” ~ Elizabeth Kolbert This is the second post in my two-part series about climate change. You can read part 1 of this series here. When engaging in data exploration for insights, it’s good practice to start with a

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Advanced Analytics | Analytics | Machine Learning

Sophia RowlandNovember 21, 2019 0

Automated Machine Learning Pipelines

The dsAutoMl action is all that and a bag of chips! In this blog, we took over all aspects of the data science workflow using just one action.

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Analytics

Georgia MarianiNovember 20, 2019 0

Oklahoma State University’s analytics journey

Colleges and universities have access to enormous stores of data and analytics has the power to help higher education tackle some of its biggest challenges. Larry Burns, Assistant Director of Institutional Research and Information Management (IRIM), Oklahoma State University (OSU) knows a great deal about the power of analytics to

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Analytics | Learn SAS

Rick WicklinNovember 20, 2019 0

Predicted values in generalized linear models: The ILINK option in SAS

In a linear regression model, the predicted values are on the same scale as the response variable. You can plot the observed and predicted responses to visualize how well the model agrees with the data, However, for generalized linear models, there is a potential source of confusion. Recall that a

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Analytics | Artificial Intelligence | Customer Intelligence | SAS Events

Jeanne (Hyunjin) ByunNovember 19, 2019 0

Experience 2030: 고객 경험의 미래

앞으로 10년 뒤, 2030년에는 어떤 브랜드가 살아남아 성장을 지속할 수 있을까요? SAS와 글로벌 시장조사기관 퓨처럼 리서치(Futurum Research)는 SAS 애널리틱스 익스피리언스 2019에서 ‘2030년 고객 경험의 미래(Experience 2030: The Future of Customer Experience)’ 설문조사 보고서를 발표했습니다. 다니엘 뉴먼(Daniel Newman) 퓨처럼 리서치 수석분석가 겸 창립 파트너는 더 많은 권한을 갖게 된(empowered) 소비자가 새롭게

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Analytics | Artificial Intelligence | Data for Good | SAS Events

Jeanne (Hyunjin) ByunNovember 19, 2019 0

SAS 애널리틱스 익스피리언스 2019, 글로벌 오피니언 리더들의 AI 바로 보기

지난 10월 21일부터 23일까지 이탈리아 밀라노에서 열린 'SAS 애널리틱스 익스피리언스 2019(SAS Analytics Experience 2019)'에서는 SAS의 머신러닝, 컴퓨터 비전, 자연어처리 등 AI 기술을 기반으로 기업들이 어떻게 실제(real) 가치를 실현할 수 있는지 보여주는 다양한 사례들이 소개되었습니다. 특히 행사 둘째 날에는 짐 굿나잇 SAS CEO, 올리버 샤벤버거 SAS 수석부회장 겸 최고운영책임자(COO) & 최고기술책임자(CTO)의

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Analytics

SAS y Financiera Tuya: una puerta abierta al mundo crediticio en Colombia

Jose Alfredo Mutis

Jose Alfredo MutisNovember 18, 2019 0

SAS y Financiera Tuya: una puerta abierta al mundo crediticio en Colombia

*Post basado en la presentación de Isabel Cristina Zuluaga de Tuya en SAS Forum Colombia Cada año en Colombia, cerca de 1,5 millones de personas inician su vida crediticia y obtienen su primer puntaje de riesgo (según cifras de la Superintendencia Financiera de Colombia). Los recién llegados al sistema buscan

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Advanced Analytics | Analytics | Artificial Intelligence | SAS Events

Jeanne (Hyunjin) ByunNovember 18, 2019 0

SAS 애널리틱스 익스피리언스 2019, 밀라노를 접수하다!

지난 10월 21일부터 23일까지 이탈리아 혁신 기술의 중심지 밀라노에서는 유럽 최대 규모의 분석 컨퍼런스 ‘SAS 애널리틱스 익스피리언스 2019(SAS Analytics Experience 2019)’가 개최됐습니다. 3일간 밀라노 컨벤션 센터(Mico Milano Convention Centre)에서 진행된 올해 컨퍼런스에는 1,800명이 넘는 데이터 사이언티스트와 비즈니스 리더들이 모여 다양한 논의가 진행되었으며, 참석자들에게는 56개의 breakout 세션, 48개의 데모 부스, 그

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Analytics

Sarah GatesNovember 18, 2019 0

Resources to help you conquer the 'last mile' of analytics

Getting value from analytics is becoming top of mind for businesses. Organizations have invested millions of dollars in data, people and technology and are looking for a return on their investment. That requires operationalizing analytics so that it can be used for strategic decision making -- often referred to as

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Analytics | Fraud & Security Intelligence

Tom WrigginsNovember 15, 2019 0

Fighting fraud in the new world of Value-Based Payments

Ladies and gentlemen, I give you Value-Based Payments (VBP), health care’s new magic, “silver bullet” that will solve all our fraud problems. Last month, the US Department of Health and Human Services (HHS) issued a press release entitled, “HHS Proposes Stark Law and Anti-Kickback Statute Reforms to Support Value-Based and

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Government | Health Care

Analytics

Leo SadovyNovember 15, 2019 0

Climate change: It's all about the CO2

“The future is already here — it's just not very evenly distributed.” ~ William Gibson, author The same can be said for climate change – global warming is here, in a big way, but its effects are still an arm's length away for many of us. How is climate change

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Analytics | Data Visualization

Rick WicklinNovember 13, 2019 0

Create biplots in SAS

Biplots are two-dimensional plots that help to visualize relationships in high dimensional data. A previous article discusses how to interpret biplots for continuous variables. The biplot projects observations and variables onto the span of the first two principal components. The observations are plotted as markers; the variables are plotted as

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Advanced Analytics | Analytics | Customer Intelligence

Hidden Insights: Do you know what your customers are saying about you?

Vanessa Hurhangee

Vanessa HurhangeeNovember 12, 2019 0

Do you know what your customers are saying about you?

A major UK insurance company used text analytics to categorise complaints.

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Banking | Insurance

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