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.@philsimon begins a four-part series on the need for a proper data strategy.
Next week I will begin facilitating a six-session class, “Preparing for the Teen Years”. I have taught this class more than two dozen times and each time I do it, I learn something about the topic of parenting teens…and about myself. One truth I have learned over the years as
In this two-part series, which posts as the calendar turns to a new year, I revisit the top data management topics of 2015 (Part 1) and then try to predict a few of the data management trends of 2016 (Part 2). Data management in 2016 The Internet of Things (IoT) made significant
Whether your New Year’s resolution is to get SAS certified or to become a more advanced SAS programmer, we’ve got you covered with these upcoming SAS Press books, many of which will be making their bookshelf debut at SAS® Global Forum 2016 in fabulous Las Vegas! The SAS® Programmer’s PROC
In this two-part series, which posts as the calendar prepares to turn 2015 into 2016, I revisit the top data management topics of 2015 (Part 1) and then try to predict a few of the data management trends of 2016 (Part 2). Data management in 2015 Big data continued to make
In my recent posts, I've been exploring the issues of integrating data that originates from beyond the organization. But this post looks at a different facet of extra-enterprise data management: data availability. In many organizations, there's a growing trend of making internal analytical data accessible to external consumers. I can
In my last blog I discussed purging audit records from the Web Infrastructure Platform SharedServices database. The blog generated a fair bit of discussion around the SAS Visual Analytics auditing data gathering and archive process. So let’s take a step back and in this blog review how data collection for auditing works and
An interesting question came up recently, where a colleague wanted to create a bar line chart with Revenue on the Y axis and Profit on the Y2 axis. The Revenues were all positive, but the Profit had positive and negative values. Some data I generated is shown on the right. Creating this
How many times have you gone onto a website, put a few things in a shopping cart, and then exited the Internet? I do it all the time. Sometimes when I log on to that site during my next visit, those same items are still in my cart – ready for purchase. I find
¿Cuándo ampliar el cupo de una tarjeta de crédito, ofrecer un crédito o llamar la atención de un cliente por haberse pasado en el pago de alguna obligación? Todas estas son decisiones que los bancos están tomando cada vez con mayor inteligencia y que les están permitiendo ofrecer mejores productos
As an economist, I started at SAS with a disadvantage when it comes to predictive modeling. After all, like most economists, I was taught how to estimate marginal effects of various programs, or treatment effects, with non-experimental data. We use a variety of identification assumptions and quasi-experiments to make causal
A Box Plot is very popular to view the distribution of an analysis variable with one or more classifiers. Also, everyone wants to customize the graph in different ways. One recent request was for creating a box plot by category and group along with the display of various statistics and overlaid
Jeff Stander passes along some of the lessons he's learned about third-party metadata collection.
I was reading through Deloitte University Press' 2015 Holiday Spending survey - the results were interesting, but their graph made you jump through mental hoops to understand the data. So of course I used SAS to create a simpler version of the graph, so you'll have more time for holiday shopping!
In today’s world of instant gratification, consumers want – and expect – immediate answers to their questions. Quite often, that help comes in the form of a live chat session with a customer service agent. The logs from these chats provide a unique analysis opportunity. Like a call center transcript,