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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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
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.
Mapping Antarctica, with a tile-based map
As we're getting into December, and the weather is getting colder, I thought it would be cool to plot some Antarctica data. You might remember I did this about 1.5 years ago, using good-old Proc Gmap, a special projection, and lots of tricky annotation. Well, this time let's use the
Nova pesquisa global: como será a experiência do cliente em 2030?
A tecnologia moderna mudou a maneira como as marcas e os consumidores se conectam. Como será a experiência do cliente em 2030? De que forma vão as marcas evoluir para satisfazer as expectativas dos futuros consumidores? Estas são algumas das questões abordadas num estudo recente intitulado "Experience 2030: The Future
Visualize data before and after a treatment
Recently I showed how to visualize and analyze longitudinal data in which subjects are measured at multiple time points. A very common situation is that the data are collected at two time points. For example, in medicine it is very common to measure some quantity (blood pressure, cholesterol, white-blood cell
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
Using process mining to improve customer experience in telecoms
One analysis suggests that in the first year of using process mining, the telecoms company had decreased its cost per process order by almost 40% and improved its productivity.
CRM - Ein Spagat für Unternehmen
Gastbeitrag von Christina Eckhardt, CINTELLIC Consulting Group, über die richtige Implentierung von CRM-Strategien.
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
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.
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
Free maps to use with SGmap, in Base SAS!
If you don't have a SAS/Graph license, then you're probably using the ODS Graphics 'sg' procedures that come with Base SAS to create your graphs and maps. And if you've tried plotting data on a map, you probably noticed that SGmap lets you overlay point-data on an OpenStreetmap, but you
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
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
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
Using machine learning to improve local services for residents
The Local Government Association has concluded that in the last 10 years, there has been a reduction in funding of 60p for every £1.
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.
Caregiving and the Holidays
If you are a caregiver, the holiday season may bring less Peace and Good Tidings, and more Stress and Frustration. If you are already feeling overwhelmed with caregiving responsibilities, the holidays may feel more of a burden than a joy. I think it is fair to say that the holidays are
Plotting NC's new congressional districts maps for 2020
North Carolina recently re-drew the congressional district boundaries for the upcoming 2020 election. Here's a copy of the new map, from the ncleg.gov website: A couple of years ago, I created an enhanced version of the 2016/18 map, and I thought I'd do the same for the new 2020 map...
Top 5 ways business glossaries make analytics better
A business glossary improves data quality – one of the top five ways it makes analytics better.
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).
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
These mortgage rates look shady to me!
The English language can be a bit tough to learn. One reason is that sometimes words can have more than one meaning. For example, the word shady can mean "of doubtful honesty or legality," or it can mean "giving shade from sunlight." Which of those meanings am I thinking about,
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.
A crash course on deep learning in the cloud
Jordan Bakerman's session at ODSC Europe inspired this post, which provides an overview of deep learning and how factorization machines work.
Using machine learning to prevent procurement fraud in local government
Analytics is a game-changer in detecting procurement fraud. It is by far the most efficient way of doing so.
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
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
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