As technology evolves, so do the c-suite roles related to technology. In particular, the roles of Chief Digital Officer and Chief Data Officer – both referred to as CDO – have seen rapid changes. This post will document the changes I've observed in these two roles, and answer questions I've heard as our customers have been navigating the
When protecting children, “entity resolution” can reduce the things agencies don’t know they don’t know. It’s a technological capability I wish I’d had when I led a child protective services agency. I have been involved in hundreds of determinations that would alter a child’s life trajectory. I was comfortable with
The cybersecurity challenge exemplifies how global threats have evolved and how governments must combat them. For all the complexity of the Cold War, the United States defense officials knew the nations that posed the biggest threat. The world is much different today. As General Michael Hayden (ret.), former Director of the National Security
Winter holiday traditions and family rituals are the stuff of rich memories for many grown kids like myself. As a parent educator, I also know that traditions can benefit all members of the household: The repetitive nature of traditions contributes to a sense of comfort and belonging. Traditions can help
Index of articles on "Getting Started with SGPLOT Procedure". Getting Started with SGPLOT - Part 1 - Scatter Plot. Getting Started with SGPLOT - Part 2 - VBAR. Getting Started with SGPLOT - Part 3 - VBOX. Getting Started with SGPLOT - Part 4 - Series Plot. Getting Started with
Data quality initiatives challenge organizations because the discipline encompasses so many issues, approaches and tools. Across the board, there are four main activity areas – or pillars – that underlie any successful data quality initiative. Let’s look at what each pillar means, then consider the benefits SAS Data Management brings
A recent issue of Astronomy magazine mentioned Kepler's third law of planetary motion, which states "the square of a planet's orbital period is proportional to the cube of its average distance from the Sun" (Astronomy, Dec 2016, p. 17). The article included a graph (shown at the right) that shows
Editor's note: This series of blogs addresses the questions we are most frequently asked at SAS Press! Ever thought about writing your own SAS or JMP book? Here are a few reasons why writing a SAS Press book can be a fantastic career move! 1. Your book establishes you as
JSON is the new XML. The number of SAS users who need to access JSON data has skyrocketed, thanks mainly to the proliferation of REST-based APIs and web services. Because JSON is structured data in text format, we've been able to offer simple parsing techniques that use DATA step and
Data integration helps a successful business make things simple and quick for customers, and keeps them coming back. While a company will have data silos, data held within one area is made available to others in order to help the customer. In most local, county and state governments that is
Traditional data management includes all the disciplines required to manage data resources. More specifically, data management usually includes: Architectures that encompass data, process and infrastructure. Policies and governance surrounding data privacy, data quality and data usage. Procedures that manage a data life cycle from creation of the data to sunset
Nearly every organization has to deal with big data, and that often means dealing with big data problems. For some organizations, especially government agencies, addressing these problems provides more than a competitive advantage, it helps them ensure public confidence in their work or meet standards mandated by law. In this
One of the key benefits of creating graphs using GTL or SG Procedures is their support of plot layering to create complex graphs and layouts. Most simple graphs can be created by a single plot statement like a Bar Chart. Complex graphs can be created by layering appropriate plot statements to
My last post described my top general business analytics books, those that would appeal to business leaders and analysts alike. This post is a bit more specific, and covers books that will help you to learn for yourself. It is therefore mainly aimed at analysts — but I still hope
When I was a kid, I always looked forward to Casey Kasem's American Top 40 song countdown at the end of the year. Did I listen to check whether my favorite songs had made the list, or to critique how well the people making the list had done in picking the 'right'
In my earlier post about WHERE and IF statements, I announced that the DATA step debugger has finally arrived in SAS Enterprise Guide. (I admit that I might have buried the lead in that post.) Let's use this post to talk about the new debugger and how it works. First,
Data virtualization is an agile way to provide virtual views of data from multiple sources without moving the data. Think of data virtualization as an another arrow in your quiver in terms of how you approach combining data from different sources to augment your existing Extract, Transform and Load ETL batch
Balance. This is the challenge facing any organisation wishing to exploit their customer data in the digital age. On one side we have the potential for a massive explosion of customer data. We can collect real-time social media data, machine data, behavioural data and of course our traditional master and
My preference, of course, would be for everyone to get all the nutrients their body needs for optimal health from the food they eat. In this day and age, however, that is getting harder and harder to do for many reasons…
Do you want to create customized SAS graphs by using PROC SGPLOT and the other ODS graphics procedures? An essential skill that you need to learn is how to merge, join, append, and concatenate SAS data sets that come from different sources. The SAS statistical graphics procedures (SG procedures) enable
In honor of today’s #GivingTuesday, which "harnesses the potential of social media and the generosity of people around the world to bring about real change in their communities,” I’ve been thinking about what constitutes “real change” and the role analytics can play on the many social issues our planet faces.
“Omg, Mom, people are going to think you actually look like that!” My 16 y/o recently got a Facebook account (apparently passé for teens in US but not in Europe and as her circle expands…). So, now she has a front row seat to my (apparently embarrassing) selfies. It’s
est plus près de la maison, está más cerca de casa, está mais perto de casa, dichter bij huis, is closer to home, eh! In analytics and statistics, we often talk about sample sizes. The size of the data sets that you analyze are a measure of the amount of
Has anyone ever broken up with you, and left you thinking "Wow, I didn't see that coming!" In hindsight, maybe you could have seen it coming. At least from a statistical perspective. Let's dive into this topic with some lighthearted discussion, and plot some Facebook data... When it comes to
One aspect of high-quality information is consistency. We often think about consistency in terms of consistent values. A large portion of the effort expended on “data quality dimensions” essentially focuses on data value consistency. For example, when we describe accuracy, what we often mean is consistency with a defined source
In the classic textbook by Johnson and Wichern (Applied Multivariate Statistical Analysis, Third Edition, 1992, p. 164), it says: All measures of goodness-of-fit suffer the same serious drawback. When the sample size is small, only the most aberrant behaviors will be identified as lack of fit. On the other hand,
This is the 2nd installment of the "Getting Started" series, and the audience is the user who is new to the SG Procedures. It is quite possible that an experienced users may also find some useful nuggets here. One of the most popular and useful graph types is the Bar
In the DATA step, the WHERE statement and the IF statement (a.k.a. the "subsetting IF") have similar functions. In many scenarios, they produce identical results. But new SAS programmers are taught early on that these two statements work very differently, and in important ways. To understand the differences, it helps
Using the DATASETS procedure, we can easily modify SAS variable attributes such as name, format, informat and label: proc datasets library=libref; modify table_name; format var_name date9.; informat var_name mmddyy10.; label var_name = 'New label'; rename var_name = var_new_name; quit; We cannot, however, modify fixed variable attributes such as variable type
This year’s Polish SAS Forum conference gathered more than 900 enthusiasts of the use of analytics for the generation of innovation. The business session in the Customer Intelligence domain was focused on the methods of meeting the challenge of maximization of revenue while keeping the customers satisfied. Market leaders highlighted
