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In a previous article, I visualized seven Christmas-themed palettes of colors, as shown to the right. You can see that the palettes include many red, green, and golden colors. Clearly, the colors in the Christmas palettes are not a random sample from the space of RGB colors. Rather, they represent
Nearly everyone in retail knows the value of personalisation. Getting there, however, can be a problem. Here’s how your retail store can be a business that better understands the customer. Personalising the shopping experience is the surest way to the consumer’s pocket. Consumers buy more and buy more often when
CAS libraries enable you to access your CAS data. By defining the librefs for those caslibs in SAS Studio, you can have more interactive access to the CAS data.
From powering driverless vehicles to tackling the global climate crisis, 5G networks will play a huge role in shaping the future of our society. How can CSPs remove barriers to innovation and drive positive change? 5G technology holds transformative potential for business, individuals and society. However, successfully realizing the true
There is no shortage of challenges associated with the deployment of AI: a lack of access to infrastructure, a lack of skills, and new legislation meant to enforce the responsible use of this evolving technology. But the most consequential questions facing us are innately human. Namely, ensuring human agency, safety
Hyper Automation, 초(超) 자동화 제조, 여신, 물류 등의 산업군 및 마케팅, 영업 등의 직군에 종사하신다면 자동화(Automation)라는 용어는 그리 낮 설지 않은 용어일 것 입니다. 자동화는 인간의 노동 효율을 극대화하기 위해 인간의 개입을 최소화 하고 기계 또는 컴퓨터의 능력을 활용하는 방향으로 진화해 왔습니다. 예를 들어 마케팅 영역에서의 자동화의 경우, 마케팅 전략을
The threat of fraud is ever-present and growing. Organizations lose around 5% of their annual revenues to fraud, and many of them don't take sufficient proactive measures. It's notable that only 56% of organizations conduct investigations of even their worst incidents. That statistic is based on the 2020 ACFE Report
I think it’s safe to assume that we have all heard the phrase “don’t imitate, innovate” in some form or other, but from my point of view, there are only so many times that the wheel can be invented, meaning that sometimes, you would, could and should imitate. I’m not
I’ve written before about how most marketing leaders are underwhelmed by the results they’re getting from marketing analytics, and how intelligent hyperautomation offers the potential to transform performance by shifting from traditional manual campaign generation and execution to an event-driven approach to marketing. The next question is how to put
Protein powders can be an easy, convenient way to add in more protein. However, if you have ever gone to the store or looked online for a protein powder, then you know there are a lot of options out there! It can be really confusing trying to figure out which
In data visualization, colors can represent the values of a variable in a choropleth map, a heatmap, or a scatter plot. But how do you visualize a palette of colors from the RGB or hexadecimal values of the colors? One way is to use the HEATMAPDISC subroutine in SAS/IML, which
This post is written in the hopes of easing the SAS Viya deployment process for novices like me. Firstly, deploying SAS Viya, like most enterprise software packages, isn't a skill we're innately born with. We're going to need a little help, some good documentation, and time to absorb the intricoes
We made bold predictions a year ago about what 2021 would bring. We’re bold enough to do it again for 2022. The pandemic disrupted traditional ways of life in 2021. Remote learning and working became the norm for many. Telehealth took off, and IT modernization accelerated in every industry. 2021
For Natalia Summerville, Sr. Manager in Advanced Analytics R&D, using data for good is at the center of it all. “There’s so much data analytics can do for Greater Good – it’s almost overwhelming. The potential is unending, and that drives me to find new applications and ways to help,”
While discussing how to compute convex hulls in SAS with a colleague, we wondered how the size of the convex hull compares to the size of the sample. For most distributions of points, I claimed that the size of the convex hull is much less than the size of the