The customer experience opportunity in claims processing
Customer experience is a team sport - insurance industry claims processing
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자금세탁방지(AML) 및 사기 범죄에 대한 5가지 예측
평화롭고 안전한 일상을 지키기 위해 우리가 맞서 싸워야 할 대상은 사실 바이러스 말고도 꽤 많습니다. 자금세탁방지(AML)를 비롯해 신원 도용 및 보험 사기 등, 끝없이 진화하는 금융 범죄와 각종 사기 수법들이 바로 그 중 하나입니다. 2020년에도 기술적인 변이(?)를 멈추지 않을 그들을 막기 위해 우리는 무엇을 준비하고 유념해야 할까요? SAS 사기 방지
Tricks for importing text files in SAS Enterprise Guide
I'm a big fan of the Import Data task in SAS Enterprise Guide, especially for its support of text-based files (CSV, tab delimited, fixed width, and more). There's no faster method for generating SAS code that reads your data exactly the way you need it. I use the tool so
AI 분석으로 팬데믹(pandemic)에 맞서는 방법
2019년 12월, 중국을 시작으로 발생한 코로나바이러스감염증-19(COVID-19)가 전 세계로 확산되며 190개 국가에서 32만명이 넘는 확진 환자가 발생했습니다. (2020년 3월 23일 기준) 세계보건기구(WHO)는 3월 11일 감염 확산세가 지속되자 홍콩독감(1968), 신종플루(2009)에 이어 사상 세 번째로 코로나19에 대해 팬데믹(pandemic; 세계적 대유행)을 선포했는데요. 한국 역시 지난 2월 23일 코로나19 대응 수준이 ‘심각’ 단계로 격상되며 확진자가
Add custom tick marks to a SAS graph
When you create a graph by using the SGPLOT procedure in SAS, usually the default tick locations are acceptable. Sometimes, however, you might want to specify a set of custom tick values for one or both axes. This article shows three examples: Specify evenly spaced values. Specify tick values that
데이터 시각화로 COVID-19 경로 추적하기
인류의 건강을 위협하는 문제, 특히 코로나바이러스(COVID-19)처럼 빠르게 전파되는 질병이 확산되는 초기 단계에는 예상할 수 없는 많은 변수들이 존재합니다. 이러한 단계에서 데이터 시각화를 활용하면 빠르게 추세를 파악하고 단편적인 데이터들로부터 유의미한 결과를 도출할 수 있습니다. 바이러스 경로 시각화는 사람들에게 경각심을 일깨우고 바이러스의 영향력을 알림으로써, 궁극적으로 질병 예방 활동에 도움이 될 수 있을
A practical guide to improve the effectiveness of watch list screening
Watch list screening has been one of the rules with highest false-positive rate. Watch list screening has been one of the pillars for know your customer (KYC) and anti-money laundering (AML) regulatory requirements since the beginning. It was introduced to prevent known criminals (or known high risk entities) from utilizing
Creative Ideas for Coping with New Coronavirus Realities
Work/Life wanted to know the creative ways SAS employees are coping with the temporary changes caused by Coronavirus precautions. We asked how you are coping with working from home, working from home with kids, keeping entertained at home, and how you are staying centered and connected with others. Here is
Harnessing analytics in the fight against fraud
Analytics makes it possible to uncover complex or organized fraud that rules-based systems would miss.
Non il solito articolo sul Risk Management. L'importanza delle soft skill
Il Risk Management è un tema centrale nel settore finanziario e se questo fosse uno dei soliti articoli dedicati al Risk Management, allora adesso dovremmo parlare della crisi del 2008, di come le autorità bancarie abbiano reagito, di quali rischi debbano essere gestiti in modo efficace, e così via. Questo,
Print SAS/IML variables with formats
A SAS/IML programmer asked about the best way to print multiple SAS/IML variables when each variable needs a different format. He wanted the output to resemble the "Parameter Estimates" table that is produced by PROC REG and other SAS/STAT procedures. This article shows four ways to print SAS/IML vectors in
Tired of customer surveys? Telia knows better!
And as survey fatigue kicks in, challenges in customer satisfaction and NPS scoring abound: will data be still representative or will it become increasingly biased?
Past, present and future ... it's always been about data management
Data management has never been the shiny object that caught the imagination of the mainstream. And let’s be honest, it's not nearly as interesting as analytics, machine learning or artificial intelligence. In fact, entire movies get created about analytics, and people actually pay to see them! Data management? Not so
Predict a random integer: The tradeoff between bias and variance
Books about statistics and machine learning often discuss the tradeoff between bias and variance for an estimator. These discussions are often motivated by a sophisticated predictive model such as a regression or a decision tree. But the basic idea can be seen in much simpler situations. This article presents a
The difficult step in effecting forecasting process change (2 of 2)
Fildes and Goodwin (F&G) observed the subject (the regional subsidiary of a pharmaceutical company) was using a statistical forecasting system, but not fully trusting its output. Forecasters were making overrides to the system generated forecast to make it look like what they believed it should (e.g., following a life-cycle curve
Tracking the Coronavirus Disease 2019 (COVID-19) in the United States
Everyone's thinking about the Coronavirus Disease 2019 (COVID-19), and wondering if there are any cases near where they live. I recently used SAS Software to create a dashboard with a world map showing which countries had reported cases. And now that the virus has spread around the world, a world/country-level
IA potencia el avance de la Gestión de Riesgo hacia la Resiliencia y Optimización de la Rentabilidad del Negocio
Todos los negocios enfrentan desafíos de muy diferentes índoles, pero cuando nos referimos a aquellos que basan parte significativa de sus ingresos en el crédito - como los sectores financiero, telecomunicaciones y departamental o minorista-, éstos son los primeros en enfocar su atención y esfuerzo en alternativas creativas y hasta
Werdendes Land - AI#11
Mit der Firma Sixt fing alles an. 2008 haben SMILE.AI eine Customer Experience Plattform für den Autoverleiher entwickelt.
How to become an analytics-powered company
Transforming into an analytics-powered company is the ambitious goal of many of today’s organisations. The key to success relies not only on the adoption of advanced technologies but mostly on people who are able to connect artificial intelligence to the business processes, taking advantage of algorithms, insights and automation. Among
SAS, 7년 연속 ‘데이터 사이언스 및 머신러닝 플랫폼’ 부문 리더 선정
SAS가 최근 글로벌 시장조사기관 가트너에서 발표한 ‘2020 가트너 매직 쿼드런트: 데이터 사이언스 및 머신러닝 플랫폼(2020 Gartner Magic Quadrant for Data Science and Machine Learning Platforms)’ 보고서에서 비전 완성도 및 실행력을 인정받아 리더로 선정됐습니다. SAS는 해당 부문에서 유일하게 7년 연속 리더로 선정됐는데요! 작년 대비 괄목할 만한 성장을 보이며 최상위 리더 제품으로
5 most popular reasons to love analytics value training
As AVT expands into domain specific topics, the shape of the programme will evolve. I am looking forward to seeing what the next cohort of participants will choose to love about AVT.
Polygons, pi, and linear approximations
Recently, I saw a graphic on Twitter by @neilrkaye that showed the rapid convergence of a regular polygon to a circle as you increase the number of sides for the polygon. The author remarked that polygons that have 40 or more sides "all look like circles to me." That is,
Using data visualization to track the coronavirus outbreak
In the early days and weeks of any widespread global health concern, particularly in a fast-moving outbreak like the coronavirus, there are many unknowns. Data visualization can be a good starting point to understand trends and piece data points together into a meaningful story. The ability to visualize the spread
Supporting a good life
Almost five years ago I took a big leap and changed jobs. After interning and then four years working as a hospice social worker, I was ready for something different. My heart was and will always be with hospice work, but I wanted to learn something new. When you work
ROC curves for a binormal sample
In a previous article, I discussed the binormal model for a binary classification problem. This model assumes a set of scores that are normally distributed for each population, and the mean of the scores for the Negative population is less than the mean of scores for the Positive population. I
Women ROCK in analytics!
I caught up with Jaimy van Dijk, one of our youngest female SAS Data Scientists who has proven herself to be a true Rockstar.
Why are fewer women getting computer science degrees?
While I am a woman in computer science, let me start by saying that I’m a reluctant coder. I have an eye for data but find the abstract nature of many computer languages to be very challenging and not something I typically love. My first experience with coding was in
The difficult step in effecting forecasting process change (1 of 2)
Two weeks ago we looked at the first two steps in effecting forecasting process change: Justify your suspicions with data Communicate your findings That was the easy part. So why is it that so many organization realize they have a forecasting problem, yet are unable to do anything about it?
Digitale transformatie in het publieke domein - een kwestie van ervaring
Voor een succesvolle digitale transformatie is een innovatiecultuur noodzakelijk. Hoe realiseer je dit in de publieke sector?
Resolving the tension between fraud prevention and customer experience
Companies face a stark choice between optimising customer experience and minimising fraud. But what if they could do both?