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The global demand for analytics talent persists, with organisations facing challenges finding qualified individuals to support their growth. McKinsey’s recent survey revealed a significant shortage of skilled practitioners for the most in-demand tech skills, with less than 50% of the required professionals available worldwide. Despite the well-known STEM skills gap,
The health care and life sciences market is accelerating – but not without a few necessary pitstops. Machine learning, digital twins, generative AI, robots as doctors, medications with sensors, and surgery at the speed of light. It’s all driving the market. Year after year, market researchers, analyst firms, and industry
Despite the wild ride and changing market conditions of the past few years, global banking has proven to be largely resilient and generally sees a more positive outlook. Inflationary pressures have brought the “low for long” interest rate era to an end (or at least to a sustained pause), allowing
The weight of the world has never been heavier – and it rests on the shoulders of government. Geopolitical hostilities, war, climate change, economic turmoil, large-scale migration and workforce shortages are worldwide issues. These challenges are compounded when governments have political divisions and stymied processes. Citizens want their government to
이번 글에서는 SAS의 Job Execution에 대해서 알아보려고 합니다. 개념과 접속방법, 실행방법, 편집방법을 예제를 활용해 간단히 알아보겠습니다. 1. Job Execution 소개 SAS Job Execution Web Application은 작업을 생성, 관리 및 실행하는 데 사용되는 웹 기반 클라이언트입니다. Java로 작성된 이 애플리케이션은 서버에서 실행되는 강력한 분석 및 프리젠테이션 프로시저와 함께 데이터에 대한 액세스를
SAS Visual Analytics(이하, VA)의 보다 효과적인 활용을 위해 파라미터의 개념과 용도를 소개해 드린 데에 이어, 이번에는 파라미터의 활용법에 대해 설명드리고자 합니다. 1. 설정 상황 SASHELP의 CARS라는 데이터를 기반으로 상황을 가정해 보겠습니다. CARS 데이터는 총 428개의 관측값과 15개의 변수를 가지고 있습니다. 이 중 Make, Model 등 5개의 범주형 변수를 제외하면 Invoice,
The world’s a hot mess – literally. We're facing unprecedented weather patterns fueled by climate change, uncertainty stemming from financial volatility and worsening business results. All while carriers struggle to determine which AI solutions (among thousands) to choose. It’s enough to make you want to shut the doors and windows
In 2024, we will witness the proliferation of synthetic data across industries. In 2023, companies experimented with foundational models, and this trend will continue. Organizations see it as an emerging force to reshape industries and change lives. However, the ethical implications can't be overlooked. Let’s explore some industries I think
As 2023 ends, it's important to reflect on the predictions that SAS leaders made at the beginning of the year. Let’s look at some of these predictions and see how accurate they were. We'll explore forecasts related to health care, human resources, AI, data, renewable energy and more. Let's dive
As we have changed the clocks to let the morning light shine a little earlier, we now have more darkness in the evening which, in my opinion, is better for the circadian rhythm. Our ancestors, when no electricity existed, rose with the sun and retired by the moon. In today’s
Desde el pasado 1 de enero del 2023, en Guatemala entró en vigor la resolución JM-47-2022 de la Junta Monetaria. Esta, explicaron expertos, constituye el nuevo reglamento para la Administración del Riesgo de Crédito que las entidades financieras reguladas deberán utilizar en el país. Específicamente, el objetivo principal de esta
After a significant loss in high school, I was invited to join our school counselor’s student grief group. One day the counselor gave us each a mix-tape CD. As I listened, each song made me cry, in a really good way. This was my introduction to music as a compliment
AES Corporation is one of the world’s largest independent producers of renewable energy, green hydrogen, and battery storage. This Fortune 500 company is the only US-based power company that operates on four continents. Additionally, AES owns utilities in the US and Latin America and has a technology innovation company that
Plot rates, not counts. This maxim is often stated by data visualization experts, but often ignored by practitioners. You might also hear the related phrases "plot proportions" or "plot percentages," which mean the same thing but expresses the idea alliteratively. An example in a previous article about avoiding alphabetical ordering
In SAS Viya 4 you can create Reports in SAS Visual Analytics that you may want to move around between machines. What if you want copy a report for example from a development environment folder to a production environment folder? You may want to work on the report in one system before putting it onto a final system and making it generally available. Or you may want to have a backup copy saved for recovery purposes. This blog post provides an updated description of how to easily save off SAS Visual Analytics report content to a file and easily move it between machines.