With so much complexity and change in the marketplace, organizations worldwide are leveraging opportunities to make better predictions, identify solutions and take strategic, proactive steps forward – which means that they increasingly depend on big data. In their quest for organizational resilience, however, companies find that numbers aren’t necessarily the secret
SAS 9.4M8 is available. Its focus is on security and updates to third-party technologies. It also updates the supported OS environments.
Time series data is widely used in various fields, such as finance, economics, and engineering. One of the key challenges when working with time series data is detecting level shifts. A level shift occurs when the time series’ mean and/or variance changes abruptly. These shifts can significantly impact the analysis and forecasting of the time series and must be detected and handled properly.
Did you know that about 8% of the world's men are colorblind? (More correctly, 8% of men are "color vision deficient," since they see colors, but not all colors.) Because of the "birthday paradox," in a room that contains eight men, the probability is 50% that at least one is
Sauces, spreads and seasonings are a great way to add some zip to a meal, and it can be convenient to buy them instead of making them from scratch. Unfortunately, a lot of store-bought condiments and dressings (even many targeting health-conscious consumers) are filled will additives. From added sugars, MSG
I previously discussed how to use the PUTLOG statement to write a message from the DATA step to the log in SAS. The PUTLOG statement is commonly used to write notes, warnings, and errors to the log. This article shows how to use the PRINTTOLOG subroutine in SAS IML software
For many the new year brings a renewed sense of commitment to well-being. Our spaces are often complementary to how we feel. Our spaces can either add to our stress or be set up in a way that is supportive as we navigate our days. Last year Work/Life offered an
The word innovation often draws to mind images of self-driving cars, new phones, and shiny tech. Yet, innovation often happens behind the scenes, especially in advanced analytics. Around the world, industries like healthcare, government, banking, manufacturing, and more rely on the latest advancements in analytics. At SAS Explore, an event for
By Carl Eastwood, Fraud & Financial Crimes Domain Lead at SAS, and Katarina Garai, CFE - Retail & CSP Fraud Lead at SAS Managing fraud risks in the Communication Service Provider (CSP) industry is no easy task, not least because of the speed at which fraudsters adapt to exploit new
It’s no secret that the big communication service providers (CSPs) companies have seen their traditional revenue streams hit in recent years by a never-ending race to the bottom on pricing. Competition in the market, along with the mass adoption of web-based communications tools (and competitively priced data packages), have made
Many experienced SAS programmers use the PUT statement to write messages to the log from a DATA step. But did you know that SAS supports the PUTLOG function, which is another way to write a message to the log? I use the PUTLOG statement in the DATA step for the
The perfect storm of challenges facing insurers is well-known to anyone working in the industry today. Some have been bubbling away for years – such as the competition from insurtech companies and non-insurance firms like manufacturers, the rising cost of claims, and internal inefficiencies. As the tough economic climate continues
If Fabrizio Biscotti, vice president at US research and consultancy firm Gartner, is correct that hyperautomation is no longer optional but a ‘condition of survival’ for businesses, then we are indeed entering a new era of retail. It’s a theme we’ve discussed throughout our blog series on hyperautomation – but
SAS' Kirk Swilley and Tom Sabo showcase how you can use perform text analysis on minimal structured narrative data to spot patterns of possible human trafficking.
A previous article shows that you can use the Intercept parameter to control the ratio of events to nonevents in a simulation of data from a logistic regression model. If you decrease the intercept parameter, the probability of the event decreases; if you increase the intercept parameter, the probability of
ChatGPT from OpenAI has changed how the general public thinks about AI. What does this mean for analytics practitioners?
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In previous posts, I discussed how to connect to the CAS server, working with CAS actions and CASResults objects, and how to summarize columns. Now it's time to focus on how to get the count of unique values
This article shows that you can use the intercept parameter to control the probability of the event in a simulation study that involves a binary logistic regression model. For simplicity, I will simulate data from a logistic regression model that involves only one explanatory variable, but the main idea applies
Determining the “right” talent strategy for an organization isn’t easy. Diverse projects and priorities demand various levels of knowledge, skills and experiences to achieve the end goal. Talent planning requires assessing current employees and unearthing the gaps to identify what’s needed to meet business demands. Specific and extensive knowledge and
The past few years have been ripe with uncertainty, further proving the necessity of resilience across industries. While the hospitality sector has faced significant disruption over the last two years, it also faces several new opportunities. Consumers are turning their focus to self-improvement. Wellness trends continue to grow in popularity.
Let me introduce you to the 5 trends in Tax Administrations that Shaun Barry presented at the “Tax Summit in Madrid” last October. What does Smart Cloud mean? Security Data Strategies are on the rise OSINT - Open Source Intelligence The Rise of Cryptocurrency My job today is to present
With the cost-of-living crisis continuing and the UK now in a recession, industries have to acclimatise to shifting market trends and consumer behaviour to maintain revenue and hit sales targets. The telecommunications industry is susceptible to consumers’ different priorities in times of economic hardship - many consumers will stick with
If you’ve decided to make some changes this year, but you have yet to start or your resolution is fizzling out after a couple weeks of going strong, you are not alone. Even when we have the best intentions, stubborn old habits, day-to-day responsibilities and unexpected life events can sometimes
SAS expert Leonid Batkhan demonstrates how to automatically replicate/clone metadata users’ groups and roles from one user to another.
In a previous article, I presented some of the most popular blog posts from 2022. In general, popular articles deal with elementary topics that have broad appeal. However, I also write articles about advanced topics. The following articles didn't make the Top 10 list, but they deserve a second look.
SAS' Sylvia Kabisa shows you how an online media company might use SAS to offer targeted discounts through personalized pricing.
I have an anxiety disorder and 24 years ago when I decided to have a child, I was most worried about how I could parent in a way that didn’t stack the “nurture” part of the equation against my child. Anxiety disorders are thought to only have about a 30%
DataOps increases the productivity of AI practitioners by automating data analytics pipelines and speeding up the process of moving from ideas to innovations. DataOps best practices make raw data polished and useful for building AI models. Models need to work on the data that is introduced, as well as on
When you use PROC MEANS or PROC SUMMARY to create a summary data set and include a CLASS statement, SAS includes two variables, _FREQ_ and _TYPE_, in the output data set. This blog shows you two ways to interpret and use _TYPE_ using the data set Shoes in the SASHELP
Data science teams are no longer comprised of tiny groups of Ph.D. holders exploring cutting-edge projects. Organizations that wish to stay competitive in their marketplaces today need effective data science teams. A strategy to effectively apply advanced analytics and data science to drive better products, services and decisions has many
