With AI emerging as an increasing priority for organizations across all industries, it is critical for business and technology leaders to ensure AI is adding transformational value. That was the central theme in a recent conversation SAS CTO Bryan Harris had with streaming news channel Ticker. Harris shared his perspective
While researching a topic on effect sizes, I learned about a SAS function that is related to noncentrality parameters. I previously wrote an article about the noncentral t distribution, which is one of several well-known distributions that contains an optional noncentrality parameter. I mentioned that the PDF, CDF, and QUANTILE
Detecting illicit financial flows require much more than using traditional business methods. At this point, using centrality metrics in investigation and analytical models will provide wider detection approaches.
In the digital age, the adage "knowledge is power" has evolved into "data is power." It reflects the immense value of high-quality data and a strategic approach to data management. At the heart of any successful modern enterprise lies a robust data strategy coupled with stringent data quality standards. For
As the holiday season approaches, businesses may be bracing for what’s been all too common in recent years – supply chain disruption. Retail and consumer goods industries have been hit with disruptions from every direction: profound shifts in consumer preferences, materials shortages, weather events, and geopolitical activities, to name just
A close look at the first of five DevOps ideals in Gene Kim's book, “The Unicorn Project."
The COVID-19 pandemic brought an enormous urgency to the life sciences sector. Companies vied for suitable treatments and in less than a year, COVID-19 vaccines were developed. This demonstrated clearly that the sector could move at speed when necessary. Though vaccines were supported by regulators, inefficiencies in vaccine and drug development were exposed.
In an episode of The Health Pulse hosted by Greg Horne, we learn about Dawnté Early, PhD, whose idea and mission is to transform the mental health system so that everyone who needs care receives high-quality and culturally competent care. Early's work focuses on bringing together individual mental health data
This is part two of a two-part series on digital transformation for manufacturers, where we explore the real risk of not digitally transforming and the journey that manufacturers are undertaking to capitalize on the opportunity to increase revenue, profit, and operational effectiveness. You can read more in my first blog
As the Virtual SAS® Global Forum 2020 is running live online, we have a guest blog post today from Udo Sglavo, Vice President of Analytics R&D at SAS. Udo is a long time colleague and co-editor (with me and Len Tashman) of Business Forecasting: Practical Problems and Solutions. In this
Today, many assets across multiple industries are becoming more instrumented and connected to enterprise platforms to provide additional insight into their health and operation. IDC estimates that Internet of Things (IoT) investment will reach $1.12 trillion in 2023. One important area for many industrial organizations that are focused in using
Recently, I saw a graphic on Twitter by @neilrkaye that showed the rapid convergence of a regular polygon to a circle as you increase the number of sides for the polygon. The author remarked that polygons that have 40 or more sides "all look like circles to me." That is,
What is blockchain and how can you analyze data in a blockchain? This article will discuss various forms of blockchain analytics from a tactical or heuristic perspective.
The article uses the SAS DATA step and Base SAS procedures to estimate the coverage probability of the confidence interval for the mean of normally distributed data. This discussion is based on Section 5.2 (p. 74–77) of Simulating Data with SAS. What is a confidence interval? Recall that a confidence
Collecting, managing, standardizing and analyzing clinical data during (and after) a clinical trial is crucial in the process for submission and regulatory approval of a new compound, biological, device or other therapy. A central clinical platform requires: Robust and auditable analytics to prove the result to the authorities and external
Collecting, managing, standardizing and analyzing clinical data during (and after) a clinical trial is crucial in the process for submission and regulatory approval of a new compound, biological, device or other therapy. A central clinical platform requires: Robust and auditable analytics to prove the result to the authorities and external
Editor’s Note: Regular registration for SCSUG 2015 closes on October 19th, though on-site registration will be available on conference days. Can’t make this year’s conference? Proceedings from previous conferences are currently available. Presentations from 2015 will become available shortly after the conference. For most people, the day before Halloween means
With all of the classes and presentations offered at this year’s Western Users of SAS Software conference, planning your activities can easily become overwhelming. Have no fear – we are here to help! Below are five “can’t miss” happenings at WUSS 2015! 1. Jennifer Waller’s Keynote Address - Wednesday, September 9
I was recently asked by a customer if they should move the responsibility for creating the statistical baseline forecast. They were considering moving it from their regional country offices to their global headquarters. In addtion, they were considering changing the role of their regional demand planners to only make adjustments to
In trying to offer better support to SAS users, many customers’ IT departments are looking to consolidate all their SAS desktop users onto a centralized Windows, UNIX or Linux server. This option is a very practical strategy, but implementing it satisfactorily requires a lot of assessment on how the SAS
In my last blog post I described how to implement a "runs test" in the SAS/IML language. The runs test determines whether a sequence of two values (for example, heads and tails) is likely to have been generated by random chance. This article describes two applications of the runs test.
Watching our nation approach the "fiscal cliff", and the dire predictions if we truly drive off it like the last scene in Thelma and Louise, has sharpened my view of the potential risks that huge gaps of fraud and abuse present to all of us. One of the key lessons
In order to support a SAS Server Architecture, administrators must know where all the log files from the various SAS Business Intelligence services are located. By default, each service that generates a log will create it within the services' own configuration folder structure. For example, the metadata server log is
This week, I posted the 100th article to The DO Loop. To celebrate, I'm going to analyze the content of my first 100 articles. In December 2010, I compiled a list of The DO Loop's most-read posts, so I won't repeat that exercise. Instead, I thought it would be interesting
SAS Global Forum 2013 is a couple weeks in the past, but the feedback and anticipation shared by customers as they heard about SAS 9.4 are still fresh in our minds here at SAS. As we put the final touches on the June release, the excitement we felt in San
There are many ways to visualize the distribution of univariate data: histograms, kernel density estimates, box plots, and more. Visualizing a distribution leads to better insights than merely displaying statistics such as the sample mean, standard deviation, and quantiles. In fact, there are many well-known examples of data sets that
As energy systems become more distributed, digital and dynamic, utilities are increasingly turning to AI and IoT to help modernize operations, improve reliability and accelerate decarbonization. Yet according to the IDC InfoBrief, How AIoT Is Reshaping Industrial Efficiency, Security, and Decision-Making, more than half of AIoT initiatives are still stuck in
Artificial intelligence is no longer a distant horizon – it’s here, reshaping how marketers engage with audiences and create experiences that last. Over the past year, generative AI (GenAI) has become the new status quo. More than 85% of marketing teams worldwide are already using it, with 93% having dedicated
In univariate data analysis, the median is often used as an alternative to the mean because the mean is sensitive to outliers in the data, whereas the median is a robust statistic. For higher-dimensional data, the mean and the centroid are both used to represent the "center" of a cloud
Digital banking has made convenience the norm, but it’s also made fraud inevitable. The accelerating pace of digital transactions – real-time payments, mobile banking, embedded finance – creates new opportunities for innovation and opens the door to more sophisticated fraud. This is where AI steps in. Not just as a
