All Posts
For many countries, their plan for the future focuses on a transition to a smart jobs economy. And for many organisations, the key to thriving in an innovative jobs economy centres on bringing talented individuals—with a particular focus on technology—and connecting them with roles that best utilise their talents. Talent
SAS' Bahar Biller and Xi Jiang use the example of a semiconductor manufacturing plant to illustrate the role of sensitivity analysis in assessing supply chain risk.
SAS SQL handles missing values differently than the ANSI standard for SQL. PROC SQL follows the SAS convention for handling missing values: numerical missing values are always interpreted as less or smaller than all nonmissing values. My first blog showed that missing values can be troublemakers in non-grouped descriptive statistics.
Every year, I write a special article for Halloween in which I show a SAS programming TRICK that is a real TREAT! This year, the trick is to concatenate two strings into a single string in a way that guarantees you can always recover the original strings. I learned this
With dynamically changing revenue streams, critical infrastructure needs and current higher-than-average gas prices and inflation concerns, transportation agencies around the country are using data to enable analytically driven decisions while navigating complex business challenges. Today's transportation industry is ripe with opportunities for innovation and growth. And this is especially true
I will show you how to deploy multi-stage deep learning (DL) models in SAS Event Stream Processing (ESP) and leverage ESP on Edge via Docker containers to identify events of interest.
A digitalização acelerada ao longo dos anos desde a Covid-19 deixou alguns legados para organizações, e a importância de construir uma cultura baseada em dados está entre eles. Afinal, dados impulsionaram a criação de novos modelos de negócio, mas também transformaram a forma pela qual empresas operam, administram seus talentos
고객의 데이터를 분석하여 고객 성향 및 선호도를 이해하고, 이를 활용해 마케팅 업무를 효율화하고자 하는 노력은 90년대 데이터베이스 마케팅, 2000년대 분석 CRM, 최근의 퍼포먼스, 그로스 마케팅까지 계속적으로 진화하고 있습니다. 멀티채널에서 쏟아지는 고객의 온/오프라인 데이터를 통합, 분석하여 마이크로 타겟팅 마케팅은 기본적으로 고객 성향 예측 모형(Customer Propensity Model)을 기반으로 수행되고 있습니다. 디지털채널을 중심으로
Fraud detection is becoming increasingly more complex. Customers are demanding a frictionless consumer experience. Luckily, SAS' advanced machine learning models can better prevent fraud and protect customers by analyzing behaviors and detecting suspicious patterns in real-time.
Question: This neuroscientist and SAS Explore host is known for appearing on "Blossom," "The Big Bang Theory" and "Jeopardy." Answer: Who is Mayim Bialik, Ph.D.? Today, instead of Bialik quizzing us, I got to be the lucky one to quiz her on some of her favorite topics, like mental health,
Liv Boeree answers our questions about the game of poker – and life.
Shopping at an Asian grocery store can be intimidating. Hopefully the fruits and vegetables guide has helped you gain some confidence in navigating Asian markets. As you continue to explore and expand your selections, try these pantry essentials and snacks.
A SAS programmer asked how to create a graph that shows whether missing values in one variable are associated with certain values of another variable. For example, a patient who is supposed to monitor his blood glucose daily might have more missing measurements near holidays and in the summer months
Los equipos deportivos generan datos de una amplia gama de fuentes. Estos permiten conocer el estado físico y el desempeño de los jugadores, cómo se están manejando las operaciones e incluso la experiencia que están viviendo los aficionados. La analítica les permite obtener los insights que les darán una ventaja
Many businesses across the United Kingdom (UK) face price increases, cutbacks, or potential closures as they grapple with rising energy costs. The utilities market is facing its biggest challenge. It is set to be under scrutiny for a long time - with a supply shortage, inflation, rising demand and the