Waynette Tubbs is a seasoned technology journalist specializing in interviewing and writing about how leaders leverage advanced and emerging analytical technologies to transform their B2B and B2C organizations. In her current role, she works closely with global marketing organizations to generate content about artificial intelligence (AI), generative AI, intelligent automation, cybersecurity, data management, and marketing automation. Waynette has a master’s degree in journalism and mass communications from UNC Chapel Hill.
Do you remember when CPU time was a high-priced commodity? "Today, if you are any good at what you do, the constrained resource is you," says Timothy Berryhill from Wells Fargo. Berryhill has years of experience with SAS on "many platforms and operating systems." He says there are several things
In today's fast-paced, jam-packed work day, many people answer email and read reports after business hours. And more and more, they're doing those things on a smartphone or tablet. How are your users accessing and using your reports? Statistics South Africa has found that their end-users would prefer a mobile
According to research, less than half of an organization's data is structured data; nearly 80 percent is unstructured data that may come from social media, customer letters, web pages, invoices and freeform survey answers. Getting the information you need from that data can be a quick and automated experience or
Managers, boards of directors, executives - everyone needs up-to-date information for decision making. And today that often means they need it in real-time. James Beaver and Tobin Scroggins from Farm Bureau Bank give their users the option of emailed reports for this real-time or near real-time information, or the users
Were you at SAS Global Forum last spring? Dr. Goodnight sat down at a computer console and personally demonstrated the cool things that SAS® Visual Analytics Explorer can do? Take a look at his demo, and then imagine working in a drag-and-drop, point and click environment with billions of rows
I'm happy to announce a new SAS text analytics community (online forum)! The community is a centralized location for everyone using SAS text analytics, including those working with Text Miner, Enterprise/Content Categorization, Sentiment Analysis and Ontology Management. Join the community to: Discuss ideas. Ask questions. Seek peer assistance. Share areas
This technical case study by Faisal Dosani, Royal Bank of Canada; Lisa Eckler, Lisa Eckler Consulting Inc.; and Marje Fecht, Prowerk Consulting Ltd., discusses the steps to develop a hands-off process for creating flexible and extensible solutions that avoid maintainability issues and enable speed to market of results. Building reusable
The traditional methods of making credit decisions relied mostly on human judgment; those have been replaced by methods that use statistical models. Today, statistical models are used not only for deciding whether to accept an applicant (application scoring), but also to predict the likelihood of defaults among customers who have
Big data seemed like all of the other marketing hype that we hear. But as the months have gone by, it seems clear that everyone is dealing with big data. You know, data coming in so fast that you can't adequately analyze it (at least not as efficiently and quickly
Anything that you do manually leaves the door open for error; this is especially true for your file system. Aside from that, automated processes are usually faster. Magnus Mengelbier has applied this philosophy to providing version control capabilities to SAS data sets, programs and outputs.
