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The BFD on RFPs Software selection teams are prone to issuing lengthy requests for information (RFIs) or requests for proposals (RFPs), with page after page of check boxes for so-called requirements. Vendors stay in contention by dutifully checking off each box as either “available now,” “available in next release,” or
When you realize your organization has a forecasting problem, what do you do to solve it? In particular, if you realize you need new forecasting software, how do you begin to find it? All too often, the first step in a software selection process is the Request for Proposal (RFP)
SAS COO Oliver Schabenberger’s opening keynote at SAS® Global Forum had many messages that resonated. I was particularly struck by his remark that AI, machine learning and IoT are all really a natural progression of the analytical models that SAS has always used. They are, therefore familiar, but also new,
Have you ever tried to plot data on a map of Antarctica ... and been thoroughly frustrated or confused? If you're that person, or even a seasoned map maker wanting to hone your skills, then this blog post is for you! But first, here is a picture to get you
Customer Experience entscheidet über den Geschäftserfolg – und zwar in jeder Branche. Für Unternehmen, die das verstanden haben, ergibt sich der Rest wie von selbst. Das positive Kundenerlebnis sollte immer im Fokus stehen, denn es ist die Bedingung für Kundentreue und -bindung – und kann letztlich den Umsatz erhöhen. Der
Hospitals use SAS for antibiotic stewardship to focus on using antibiotics in a rational way. The purpose is to reduce antimicrobial resistance and excessive or inappropriate prescription of antibiotics. In this short blog post, I answer five of the most common questions concerning how data can prevent antimicrobial resistance. 1. Why
There is a saying that you learn something new every day. The idea behind it is that every situation offers the potential to learn something. In other words, you are always learning from those around you, and from what happens in your everyday life and work. This sounds wonderful. Ongoing
Ich sehe es vor meinem geistigen Auge … … den Head of Customer Experience, wie er mir das mit seinem treusten Blick entgegnet, als ich leicht aufbegehrte, dass ich auch beim 385. Mal keinen neuen Kredit oder Auslandsreiseversicherung oder, oder, oder kaufen wollte … Strategieberater sind sich einig: Customer Experience
The deadline is looming. The new regulation will be a trial by fire for interactions with customers, colleagues and regulatory authorities. Are you ready for this? And what has your company done to prepare? At SAS, we wanted to get a feel for where people are, so we conducted a
The General Data Protection Regulation, or GDPR, comes into force on 25 May 2018. It has been a topic of considerable interest recently, and particularly its likely effect on individual sectors or business areas such as marketing and sales. Software manufacturers and consulting companies have been developing and launching solutions
Poverty. It's a bit difficult to define who lives in poverty - I guess it's a relative thing, and depends on the standard of living of the people around you. Today we're going to take a look at the child poverty rates in several 'rich' countries (such as the United
In this first of two posts, Phil Simon chimes in on the prospect of data protection regulation in the US.
SAS author Jane Eslinger shows give you tips for working with PROC TEMPLATE when diving into the Output Delivery System (ODS) world. Learn how to create a custom style template to get the stylized output you want.
In August 2017, Britta Gross spoke about General Motors’ perspective on bringing electric vehicles (and their derivatives) to market. Her point of view reaffirmed GM's research on consumer awareness of electric vehicles (only 60 percent) and consumer adoption concerns with this emerging technology. She also revealed the portfolio of cars
Model deployment is a crucial part of the model life cycle. Having developed and validated your model, you need to be able to put it to work. This “putting to work” stage is called deployment, and it is far from trivial. At this stage, the model ceases to be “training”