Top posts about the topics you care about most.
Joseph Castle offers some important considerations that will help you when building and working in an OSS community.
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.
I recently gave a presentation about the SAS/IML matrix language in which I emphasized that a matrix language enables you to write complex analyses by using only a few lines of code. In the presentation, I used least squares regression as an example. One participant asked how many additional lines
It’s tried-and-true, sage advice – there’s no substitute for preparation. Before an interview, career fair or other engagement with a company you’re interested in, it’s important to do your digging. After all, interviews are a two-way street: you have to be a good fit for the company you’re interviewing with,
Recently, I needed to write a program that can provide a solution to a regression-type problem, even when the data are degenerate. Mathematically, the problem is an overdetermined linear system of equations X*b = y, where X is an n x p design matrix and y is an n x 1 vector. For most
For 22 years, SAS Championship week – full of golf and community events - has provided countless memories for fans and attendees young and old. Golfing legends have walked the fairways of Prestonwood Country Club each year, battling for one of the largest purses on the PGA Tour Champions. PGA tour
In the competitive and highly regulated insurance industry, it’s easy to see why firms are hungry to unlock the value of their data. From tackling claims inflation and fraud to developing innovative new products and pricing strategies, they know that being able to make sense of this data quickly is
SAS' multidimensional culture blends our different backgrounds, experiences and perspectives from employees in 59 countries worldwide. We want everyone to feel confident expressing their ideas and know they will be respected for their unique contributions and abilities. At SAS, it’s not about fitting into our culture; it’s about adding to
Using SAS Viya in combination with open-source capabilities, we were able to develop an automated solution for logo detection that does not require any manual data labeling.
The correlations between p variables are usually displayed by using a symmetric p x p matrix of correlations. However, sometimes you might prefer to see the correlations listed in "long form" as a three-column table, as shown to the right. In this table, each row shows a pair of variables and the
Attend this session during the SAS Explore event on Sept 27-29 or view the recording at your convenience. We will showcase the use of SAS Intelligent Decisioning, SAS Model Manager, and SAS Visual Analytics on the SAS Viya platform for a solution that helps mitigate inequitable credit decisions.
I recently showed how to represent positive integers in any base and gave examples of base 2 (binary), base 8 (octal), and base 16 (hexadecimal). One fun application is that you can use base 26 to associate a positive integer to every string of English characters. This article shows how
The IEEE Visual Analytics Science and Technology (VAST) Challenge provides a great opportunity to validate our software against real-world scenarios using complex data sets. Not only do we learn from these projects, but we also send feedback to our development teams to further improve product capabilities for customers.
Many parents when naming their children, want to choose a name that they like, but that isn’t so popular that everywhere they go they hear it being called. But even for the most popular girls’ and boys’ names, how likely is it that there will be children with the same
Having the right data analytics platform can help law enforcement solve crimes faster.
SAS' Damian Herrick chronicles the refresh of a 2002 social-network analysis aimed at identifying influential peer educators among former drug users.
A line in the sand was drawn in March 2020 at the beginning of the COVID-19 pandemic. Schools closed and all education-related stories focused on learning loss and other related events that happened after that date. As the discussion shifts to learning recovery, there is still a significant amount of
A SAS programmer was trying to understand how PROC SGPLOT orders categories and segments in a stacked bar chart. As with all problems, it is often useful to start with a simpler version of the problem. After you understand the simpler situation, you can apply that understanding to the more
During the past decade, the public has grown increasingly skeptical of the value of a post-secondary degree. Rising tuition costs and job opportunities in the labor market have only exacerbated enrollment and financial challenges for higher education. In many US cities, wages for new hires have gone up across the
In March 2020, when nearly all schools closed due to the COVID-19 pandemic, most school leaders would never have anticipated the speed or length of school closures, nor the magnitude of its impact on students and educators. As state departments of education and local school districts continue to take measures
SAS has been busy this summer and so has Women in Analytics (WIA). Read through this list to learn something new, discover upcoming events and see what WIA has been up to! Batting Lab With the recent opening of the SAS Batting Lab, kids are learning how to improve
John Tukey was an influential statistician who proposed many statistical concepts. In the 1960s and 70s, he was fundamental in the discovery and exposition of robust statistical methods, and he was an ardent proponent of exploratory data analysis (EDA). In his 1977 book, Exploratory Data Analysis, he discussed a small
See how analytics helps the police battle increasingly sophisticated fraud schemes and scams.
Artificial intelligence (AI) is causing a digital transformation that is changing businesses’ operations. It is likely to bring a sea change compared to the Industrial Revolution. Many challenges with AI are technical, but most failures occur because of poor strategy and execution. Fortunately, there are some steps you can take
On Twitter, I saw a tweet from @DataSciFact that read, "The sum of (x_i - x)^2 over a set of data points x_i is minimized when x is the sample mean." I (@RickWicklin) immediately tweeted out a reply: "And the sum of |x_i - x| is minimized by the sample
Anyone in the insurance industry knows that fraudsters are becoming more sophisticated and their crimes more difficult to identify. Insurance fraud in the UK costs an estimated £3 billion per year – but only around a third of that is detected. Whilst opportunistic fraud poses a problem to the industry and
To help burgeoning data researchers apply data analysis skills across policy sectors in economic, health and social science-informed areas of study, they need both policy and data industry experts to help them develop these critical skills before they graduate. The National Policy Challenge was developed with this goal in mind.
Often the biggest challenge when implementing a successful forecasting process has nothing to do with the analytics. Forecast adoption – incorporating forecasts into decision-making – is just as high a hurdle to overcome as the models themselves. Forecasting is more than analytical models Developing a forecasting process typically begins with
Queuing up to wait for services is a nearly universal experience. We routinely arrange ourselves in single file lines at the bank, at retail stores, and at the fast-food drive-through. Since the COVID pandemic hit, we've increasingly waited in lines to ensure our health – lining up to be seen
In June 2020, we announced our strategic partnership with Microsoft to help our joint customers address their most critical analytical challenges with SAS® Viya® on Azure. In honor of two years together, we’re highlighting some of our biggest milestones, favorite stories and impressive results. Better Together In June 2020, we announced our
