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Work & Life at SAS
Alyssa Grube 0
Our SAS Culture Code

Assessing a company from the outside can be tricky business – but it shouldn’t be. That’s why we’re kicking off a series to pull back the curtain on the #saslife. From our values to our vision and (almost) everything in between, we’re giving a transparent look at what it’s really like to

Analytics
Catherine (Cat) Truxillo 0
5 keys to building stronger analytics teams

With so much complexity and change in the marketplace, organizations worldwide are leveraging opportunities to make better predictions, identify solutions and take strategic, proactive steps forward – which means that they increasingly depend on big data. In their quest for organizational resilience, however, companies find that numbers aren’t necessarily the secret

Analytics
SAS Korea 0
‘2023 SAS 해커톤 대회’ 참가자 모집

‘2023 SAS 해커톤 대회’ 참가자 모집  2월 28일 참가자 모집 마감! 당신의 아이디어를 기다립니다 세계적인 분석 선두 기업 SAS가 매년 전세계적으로 진행하는 데이터 분석 아이디어 경진 대회 ‘2023 SAS 해커톤(SAS Hackathon)’의 참가 등록이 오는 2월 28일 마감됩니다. 누구에게나 열려있는 SAS 해커톤 대회에서 우리 사회를 이롭게 할 당신의 반짝이는 분석 아이디어를

Advanced Analytics
Kevin Scott 0
Improving the detection of level shifts using the median filter

Time series data is widely used in various fields, such as finance, economics, and engineering. One of the key challenges when working with time series data is detecting level shifts. A level shift occurs when the time series’ mean and/or variance changes abruptly. These shifts can significantly impact the analysis and forecasting of the time series and must be detected and handled properly.

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