Advanced analytics is an important part of artificial intelligence (AI). Machine learning, or the ability of computers to learn from data, rather than through programming rules, means that more complex problems can be addressed than would otherwise be possible. It is significantly easier to supply lots of data and examples
Too many manufacturers find themselves stuck in the past, prisoners of their own highly complex systems and supply chains. They sit on treasure troves of data generated by machinery, employees and customers, but lack the ability to turn it into actionable insight. Business intelligence (BI) has long been a manufacturing
Regardless of industry, it has become a frequent occurrence that behind every data-driven marketer is an analytical ninja. Together, they formulate recipes in addressing the customer-centric paradigm that considers the different actions that a brand can take for a specific individual, and decides on the “best” one. The goal of
Our company talks to utilities all over the world about the value of analytics. We like to talk about "the digital utility" and break down analytics use cases across: assets and operations; customers; portfolio; and corporate operations. I plan to highlight a few analytics use cases for utilities across these four areas
A previous article provides an example of using the BOOTSTRAP statement in PROC TTEST to compute bootstrap estimates of statistics in a two-sample t test. The BOOTSTRAP statement is new in SAS/STAT 14.3 (SAS 9.4M5). However, you can perform the same bootstrap analysis in earlier releases of SAS by using
Cloud Analytic Services (CAS) is really exciting. It’s open, multi-threaded and distributed. And, best of all for SAS programmers, it’s SAS. You can even run DATA Step in CAS. Here's more on how DATA Step work in a multi-threaded, distributed context.
Jim Harris says the GDPR may cause seismic changes in how people think of privacy and personal data.
Today's guest blog is the first of two on the topic of helping an older parent downsize and relocate. Jennie Alwood is the owner of Here2Home, a senior move management company in the Triangle area. What is a Senior Move Manager?
We have entered the “second machine age.” The first machine age began with the industrial revolution, which was driven primarily by technology innovation. The ability to generate massive amounts of mechanical power made humans more productive. Where the steam engine started the industrial revolution, the second machine age has taken
The future of successful compliance will go through extremely skilled data scientists, who will become heroes in your organisation. Human instinct and analytics will help uncover financial crime together. For the last 15 years, banks and other financial institutions have been deploying AML and CFT solutions. In Europe, in line
When making a new piece of code, I like to use the smallest font I can read. This lets me fit more text on the screen at once. When presenting code to others, especially in a classroom setting, I like to make the font large enough to see from the back of the room. Here’s how I change font size in SAS in our three programming interfaces.
Wonder how you can interact with and learn from an #EdTech company? Here's your chance to find out from an educator who has done just that! Join Wake County North Carolina teacher and instructional technology facilitator David Balmer at ISTE as he shares his experiences working with Curriculum Pathways during
It won’t have escaped your attention that a sporting event has just kicked off in Russia; 32 teams and 732 players will be watched by billions of fans before one team earns the right to be crowned world champions. We now know the groups, and the roadmap to the final
Ever since the Moneyball book & movie came out, athletes have been scrambling to use data and analytics to gain a competitive advantage. One of my favorite sports is boat racing - the ones you paddle. Follow along as I lead you through some maps and graphs I created for
39 presenters, 39 presentations, 300 minutes of sharing knowledge and experience and 200 minutes of entertainment for over 800 attendees from business, government and academic circles.
Bootstrap resampling is a powerful way to estimate the standard error for a statistic without making any parametric assumptions about its sampling distribution. The bootstrap method is often implemented by using a sequence of calls to resample from the data, compute a statistic on each sample, and analyze the bootstrap
“Machine Learning” is a trendy term being kicked around (pun intended) by fraud fighters around the world. In fact, Machine Learning is such a popular term that it is becoming a staple in buzzword bingo games. Here’s a little secret about machine learning… many of the people who talk about
Tuesday Morning, 6:30 a.m., my boys come bouncing into my bedroom. “Mom! It’s time to swim!” Oh man, did I really agree to this on Sunday?! Rewind to Sunday, I was out for a walk with my 7 year old and our dog Zoe and we had a chat about
Analysing data collected from customers allows companies to build a better understanding of customer behaviour. This enables businesses to contact customers in a more intelligent way and provide highly personalised, relevant messages. This sounds simple, but how does it work in practice?
Many things in nature can be seen as chain reactions. When one action occurs, others follow suit. For example, atmospheric greenhouse gas levels are increasing, which leads to a warming of the oceans. As the oceans warm, weather and climate patterns across the globe are impacted because the amount of
I recently read an interesting article that claims "a single cremation emits as much carbon dioxide as a 1,000-mile car trip." This got me wondering about cremation data, and I ended up on the Wikipedia page about cremation rates. They had a map of the US cremation rates by state ... but the more
My 2018 SAS Global Forum paper was about "how to use the random-number generators (RNGs) in SAS." You can read the paper for details, but I recently recorded a short video that summarizes the main ideas in the paper. In particular, the video gives an overview of the new RNGs
Sports clubs have a lot of data, from a wide range of sources. For the players themselves, there is physical data, about their condition, there is medical information, and there is performance data — e.g. goals scored or saved, time on the pitch. Clubs also have plenty of data about
American readers may know that the ongoing 2018 international soccer/football tournament is a big deal in other countries. But it's hard to grasp just how ubiquitous and important it is when there's no other event like it in the United States. The best way I can describe it is if the
Imagine students using an atlas equipped with annotation tools to create color-coded map labels that describe the hows and whys of inquiry-based learning. Consider a project asking students to identify the local, regional, or international origin of the food they eat. They could document each meal on an annotated map. Creating
The most simple definition of self-compassion is to relate to ourselves as we would a dear friend. Heidi Stern is a Licensed Clinical Social Worker and Certified Daring Way™ Facilitator in Cary, NC. She is the owner of Wholeheartedly Daring, PLLC, where she provides Daring Way(TM) groups and
With all the technology advancements and innovative trends driving Industry 4.0 right now, you might expect geeky topics like the Internet of Things (IoT) or artificial intelligence (AI) to be the hottest topics of discussion among industry leaders. Instead, many leaders are still more focused on workplace culture. And here’s
In SAS Visual Analytics 8.2 on Viya 3.3, there are a number of new data features available. I’ll cover a few of these new features including the new data plan and data item features in SAS Visual Analytics in this blog.
Ballpark Chasers A cross-country trip is pretty much an all-American experience, and so is baseball. Traveling around the country to see all 30 Major League Baseball (MLB) stadiums is not a new idea; there's even a social network between so-called "Ballpark Chasers" where people communicate and share their journeys. Even
What do the New York Mets, the Orlando Magic and the Boston Bruins all have in common? They all use SAS analytics to gain deeper insights into athlete recruitment, retention, performance, safety and more. And after seeing the success teams like these have had using analytics, collegiate sports are turning
