The future of bank stress testing with SAS Analytics on Azure
SAS Cloud solutions on Azure help banks by delivering reliable stress test results fast.
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How do you adapt your insurance pricing strategy in the face of increased price competition?
Many countries in Europe have in previous years experienced increased price competition for general insurance products. Especially in Southern Europe, the competition has been very fierce, fueled by online price comparison websites. In Spain, Portugal and Greece, there has been a substantial drop in average premiums for products like motor,
The moving block bootstrap for time series
As I discussed in a previous article, the simple block bootstrap is a way to perform a bootstrap analysis on a time series. The first step is to decompose the series into additive components: Y = Predicted + Residuals. You then choose a block length (L) that divides the total
Preview of Foresight (Winter 2021)
Through the M4 and M5 competitions, we've seen the promising performance of machine learning approaches in generating forecasts. The SAS whitepaper "Assisted Demand Planning Using Machine Learning for CPG and Retail" describes a role for ML in augmenting the demand planning by guiding the review and override of statistical forecasts.
Top 8 ways SAS used data for good in 2020
From mental health to biodiversity, SAS is committed to using data for social innovation, committing our resources, analytics expertise and software to tackle global issues. It's a vital undertaking, and we can't do it alone -- strategic partnerships are key to these efforts. Here's a quick overview of our top
Blog posts from 2020 that deserve a second look
On The DO Loop blog, I write about a diverse set of topics, including statistical data analysis, machine learning, statistical programming, data visualization, simulation, numerical analysis, and matrix computations. In a previous article, I presented some of my most popular blog posts from 2020. The most popular articles often deal
List of 'big' movies you might not have seen yet
If you've been stuck at home a lot lately, and think you have run out of movies to watch -- think again! Here is a list of big-budget movies you might not have seen, because they flopped (lost lots of money). Follow along as I show you how I created
Sustainable Solutions for Active Living and Well-being
Trusting myself, my body, my sensations, and my experience has been monumental in helping me sustain active living and well being. Fitness must address the human being, not just the human body and staying well requires me to trust my intuition, my experience, and my own tolerance to challenges. It
The simple block bootstrap for time series in SAS
For ordinary least squares (OLS) regression, you can use a basic bootstrap of the residuals (called residual resampling) to perform a bootstrap analysis of the parameter estimates. This is possible because an assumption of OLS regression is that the residuals are independent. Therefore, you can reshuffle the residuals to get
Don't be misled: How to interpret data in infographics
Editor's note: This blog post is part of a series of posts, originally published here by our partner News Literacy Project, exploring the role of data in understanding our world. Infographics are one of the most visual ways to tell stories with data. They are designed to catch the reader’s eye, and they use
Top posts from The DO Loop in 2020
Last year, I wrote more than 100 posts for The DO Loop blog. In previous years, the most popular articles were about SAS programming tips, statistical analysis, and data visualization. But not in 2020. In 2020, when the world was ravaged by the coronavirus pandemic, the most-read articles were related
코로나 시대, 은행의 리스크 관리
코로나19가 광범위하게 확산되면서 생산활동 중단, 소비 감소, 교역 감소 등 세계 경제에 심각한 타격이 이어지고 있습니다. 이 충격파를 최대한 완화하기 위해 각국 정부는 다양한 재정적 지원을 투입하고 있습니다. 그럼에도 대부분의 기업과 개인은 코로나19로 경제적 어려움을 겪고 있으며, 이로 인해 은행에서는 다음과 같은 과제에 직면하고 있습니다. 여신관리 코로나19의 영향을 가장 크고
[셀프서비스 분석 #2] 오늘 배워서 내일부터 실무에 적용하는 비즈니스 인텔리전스
지난 글에서는 기존 데이터 분석의 한계와 현업 사용자가 데이터 분석을 해야 하는 이유, 그리고 시티즌 데이터 사이언티스트가 되기 위한 조건을 알아봤습니다. 그렇다면 프로그래밍 기술이나 전문적인 분석 기술에는 능숙하지 않은 현업 사용자가 어떻게 데이터를 분석할 수 있을까요? 전문가 영역이었던 데이터 분석이 일반 현업 사용자로 확대되는 여러 움직임은 오래전부터 있었습니다. 그 가운데
[셀프서비스 분석 #1] 시티즌 데이터 사이언티스트의 조건
지금처럼 빠르게 변화하는 비즈니스 환경에서 지속적인 성장을 이루기 위해서는 경영진과 분석가, 현업 사용자 등 기업 구성원 모두가 필요한 인사이트를 제때 확보하고, 이를 기반으로 최상의 결정을 내리고, 필요한 조치를 취할 수 있어야 합니다. 누구나 쉽게 데이터를 들여다보고, 탐색하고, 이해하고, 분석할 수 있는 단일화되고 통합된 분석 환경이 필요한 이유입니다. 본 기고문에서는 시티즌
Where will you travel after the pandemic?
Have you been stuck at home, dreaming up the next big trip you'll take after this pandemic is over? How will you pick a really cool location to visit? Perhaps you can ask your friends for suggestions. My co-worker (and lunch buddy) John recommended the Grand Prismatic Spring. Here's a
Happy, Healthy Holidays from the RFC!
May you be healthy, safe, and surrounded by those your love this holiday season! We're looking forward to seeing you in the new year. Until, check out the RFC's Video Library for Kasey's 12 Days of Fit-mas Workout, recordings of our live streamed classes, guided meditations, and crafts and more! Or,
Why Romania’s energy utilities are ready for analytics-driven business models
Romania’s energy and utilities market is thriving. The country has a high level of energy independence, thanks to oil and gas reserves in the Black Sea, and there is also activity in the solar energy market. However, many utilities companies are struggling to make appealing offers to customers, and there
Identitätsdiebstahl: Wie sich Firmen schützen können
In der EU und weltweit nehmen die Fälle von Identitätsdiebstahl von Jahr zu Jahr zu. 2019 stieg die Quote um 18 Prozent auf 223.163 in Großbritannien im Vergleich zum Vorjahr an. Damit fielen 61 Prozent der in der National Fraud Database erfassten Fälle auf den Tatbestand des Identitätsbetruges. Innerhalb von
How to plan an optimal tour using Network Optimization in SAS Viya
A good public transportation system is crucial to develop smart cities, particularly in great metropolitan areas. Network optimization algorithms can be applied to better understand urban mobility, particularly based on a multimodal public transportation network.
Create a response variable that has a specified R-square value
When you perform a linear regression, you can examine the R-square value, which is a goodness-of-fit statistic that indicates how well the response variable can be represented as a linear combination of the explanatory variables. But did you know that you can also go the other direction? Given a set
Hackin' around the decision tree
Tis the season for my annual, fun Christmas themed blog post! This is the seventh year and my tenth song. I hope you enjoy this 2020 holiday song (to the tune of Rockin' around the Christmas Tree). Hackin around the Decision Tree at the SAS party hackathon Data science algorithms
What happens when a Smart Cities innovator confronts flooding ?
The Smart Cities movement continues to forge ahead and evolve, led by innovative municipalities of all sizes. One of the towns at the forefront is Cary, North Carolina, adjacent to the Research Triangle Park and home of the SAS world headquarters. Cary Chief Information Officer Nicole Raimundo and her team
Implementing ModelOps: Testing Models to Ensure High Performance
Predictive models are a critical component for automated and augmented decision making. As this deployment pattern becomes more widely adopted, two competing priorities emerge. How can we deliver more models faster while being certain of accurate and consistent performance? The key to solving this dilemma is in the automated testing
What is optimization? And why it matters for your decisions
A note from Udo Sglavo: This post offers an introduction to complex optimization problems and the sophisticated algorithms SAS provides to solve them. In previous posts of this series, we learned that data availability, combined with more and cheaper computing power, creates an essential opportunity for decision-makers. After looking at network analytics
Discussing 3 real-world AI implementations with Accenture, Intel and SAS
It takes a lot of companies collaborating in a lot of new and different ways behind the scenes to make AI work seamlessly on the front lines. We see this all the time in our work on AI. Processing power is one of the most obvious examples – when clients
Find a vector that has a specified correlation with another vector
Do you know that you can create a vector that has a specific correlation with another vector? That is, given a vector, x, and a correlation coefficient, ρ, you can find a vector, y, such that corr(x, y) = ρ. The vectors x and y can have an arbitrary number
Historical state centers of population in the US (1900-2010)
If you have plotted data on a map, you have probably tried to estimate the geographical (or visual) 'center' of map areas, to place labels there. But have you ever given any thought to the "center of population"? This is one of the myriad of statistics the US Census Bureau
Application of reinforcement learning to control traffic signals
In this article, we summarize our SAS research paper on the application of reinforcement learning to monitor traffic control signals which was recently accepted to the 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada. This annual conference is hosted by the Neural Information Processing Systems Foundation, a non-profit corporation that promotes the exchange of ideas in neural information processing systems across multiple disciplines.
How will I know when it's time to move Mom and Dad?
NOTE: this is a repost of a blog I wrote a few years ago. As I have been receiving frequent questions and requests for help on this topic recently, I thought it made sense to republish. Where to start: Knowing when a parent needs help, and what kind Many times
Evaluating media claims: Just because it's 'based on data' doesn't make it true
Editor's note: This blog post is part of a series of posts, originally published here by our partner News Literacy Project, exploring the role of data in understanding our world. Every day people use data to better understand the world. This helps them make decisions and measure impacts. But how do we take raw