Bloomberg Government reported in the 2017 fiscal year that federal agencies could commit more than $1 billion on countermeasures for insider threats. Whether that number turned out to be accurate or not, it highlights the priority that the federal government is placing on protecting its information and data from being
As a resident of Northern California, I was interested in learning more about the causes of wildfires. My area has recently experienced large fires that caused many residents to evacuate their homes and some who have even lost their lives. Last October there were more than 170 fires that burned
SASの提供する機能、製品、コーディング上の利用の仕方、便利なSASマクロ等々は非常に幅広く、日々お客様と接している我々であっても全ての情報を持つことはできません。そのため、我々はWWのSAS利用ナレッジをこのSAS Global Forumにおける発表論文に頼ることが頻繁にあり、社内のナレッジシェアリングで参照することもしばしばです。f 今年4月に開催されたSAS Global Forum 2018の発表資料／論文を検索 2017以前の発表資料／論文を検索 なんと1976年からあります！ 是非、ご活用いただければと思います。
During these hot summers in the southern US, many people regard Willis Carrier (the man who invented modern air conditioning) as a saint. But along with the comfortable indoor temperatures comes the high electricity bill at the end of the month. And how much does the electricity cost? That's a difficult
We hear a lot about how various industries are using data visualization and analytics. But what about the education industry? The institutional research office (IR) at universities is the center for data, reports and analytics and provides decision makers with information about the university. The IR teams are working on
사물인터넷(IoT)이 보험사의 운영 방식은 물론 보험 가입자 개개인의 삶의 방식을 변화시키면서 보험 업계에 새로운 세계가 열렸습니다. 기술이 더욱 더 스마트해지고 연결되면서 예방 가능한 비즈니스 모델로 빠르게 전환되고 있는데요. 사물인터넷 시대에 적응하지 못하는 보험사는 새로운 진입자 그리고 새로운 생태계 및 시장 수요에 성공적으로 대응한 기업들에 밀려 토이저러스(Toys R Us)와 같은 신세를 피하기 힘들
Our company talks to utilities all over the world about the value of analytics. We help utility executives understand what the "digital utility company" looks like and share use cases to illustrate how these companies are using analytics across: assets and operations; customers; portfolio, and corporate operations (see diagram below).
This article describes how to obtain an initial guess for nonlinear regression models, especially nonlinear mixed models. The technique is to first fit a simpler fixed-effects model by replacing the random effects with their expected values. The parameter estimates for the fixed-effects model are often good initial guesses for the
I have lived in the Town of Cary for more than twenty years; two of my three children were born at the local WakeMed Cary Hospital. I’m a big fan of my city, or town as it prefers to be called – even though the population is over 160,000. That’s
One of my favorite Eddie Murphy movies when I was growing up was Coming to America. And speaking of coming to America, there's been a lot in the news recently about people doing just that. So I thought I'd use my SAS skills to help people wanting to come to
It seems only a few months back I posted an article on creating Pie Charts using a GTL based macro. Well, looking back, that was almost 6 years ago!! Recently, a colleague here at SAS needed to create Pie Charts in his report along with other plots created using SGPLOT
Joyce Norris-Montanari talks about how to implement data privacy policies, procedures and guidelines.
Retailers don’t need to be reminded about the importance of customer experience. It’s critical – and that’s been true since the dawn of retail. But the nature of that experience has been changing at a rapid clip in recent years, due in large part to well-documented shifts in technology and
When you fit nonlinear fixed-effect or mixed models, it is difficult to guess the model parameters that fit the data. Yet, most nonlinear regression procedures (such as PROC NLIN and PROC NLMIXED in SAS) require that you provide a good guess! If your guess is not good, the fitting algorithm,
스포츠 클럽은 다양한 소스로부터 수많은 데이터를 수집합니다. 선수들의 건강 상태에 대한 물리적 데이터, 의료 정보, 득점이나 경기 시간 등의 성과 데이터가 대표적인데요. 이외에도 티켓 가격, 판매, 시즌권 패턴 등 팀 운영 측면에서 다양한 데이터가 모입니다. 스포츠 클럽은 이전에도 데이터를 활용해왔습니다. 경기 장면을 촬영하고 실시간으로 또는 경기가 끝난 후 주요 영상(footage)을
Neste mundo cada vez mais competitivo e comercialmente agressivo, é notória a preocupação da gestão de topo das organizações em criar mecanismos e estratégias que garantam uma visão integrada e holística dos seus clientes. Já tinha sentido que as suas campanhas de captação não estão a resultar? São cada vez
A question recently popped up in a discussion forum about creating table plots using SAS. So I thought I'd dabble in this topic, and see what I could come up with. If you're interested in tableplots, or American Community Survey (ACS) data, or data visualization, I invite you to follow
More than 3.5 percent of the world’s population is on the move, considered international migrants. That’s more than 250 million people living in a country different than their country of birth or nationality. To put that another way, if all migrants lived in a single country, their population would be
I've said it before: spreadsheets are not databases. However, many of us use spreadsheets as if they were databases, and then we struggle when the spreadsheet layout does not support database-style rigor of predictable rows, columns, and variable types -- the basic elements we need for analytics and reporting. If
Our company talks to utilities all over the world about the value of analytics. We like to talk about "the digital utility" and break down analytics use cases across: assets and operations; customers; portfolio; and corporate operations. I plan to highlight a few analytics use cases for utilities across these four areas
A previous article provides an example of using the BOOTSTRAP statement in PROC TTEST to compute bootstrap estimates of statistics in a two-sample t test. The BOOTSTRAP statement is new in SAS/STAT 14.3 (SAS 9.4M5). However, you can perform the same bootstrap analysis in earlier releases of SAS by using
A Internet das Coisas - IoT - veio para ficar. Segundo o estudo “2017 Internet of Things ROI Research Study”, levado a cabo pelo Internet of Things Institute (IoTi), em colaboração com o SAS, revela que a maioria das instituições inquiridas ainda estão numa fase inicial de implementação de IoT
Jim Harris says the GDPR may cause seismic changes in how people think of privacy and personal data.
We have entered the “second machine age.” The first machine age began with the industrial revolution, which was driven primarily by technology innovation. The ability to generate massive amounts of mechanical power made humans more productive. Where the steam engine started the industrial revolution, the second machine age has taken
When making a new piece of code, I like to use the smallest font I can read. This lets me fit more text on the screen at once. When presenting code to others, especially in a classroom setting, I like to make the font large enough to see from the back of the room. Here’s how I change font size in SAS in our three programming interfaces.
Ever since the Moneyball book & movie came out, athletes have been scrambling to use data and analytics to gain a competitive advantage. One of my favorite sports is boat racing - the ones you paddle. Follow along as I lead you through some maps and graphs I created for
A person in the United States dies every 15 minutes because of substance use disorder. The number has doubled in the past 10 years as the crisis continues to grow in severity, especially in rural areas with high unemployment. Using analytics to map the growth of opioid deaths shows the
Bootstrap resampling is a powerful way to estimate the standard error for a statistic without making any parametric assumptions about its sampling distribution. The bootstrap method is often implemented by using a sequence of calls to resample from the data, compute a statistic on each sample, and analyze the bootstrap
“Machine Learning” is a trendy term being kicked around (pun intended) by fraud fighters around the world. In fact, Machine Learning is such a popular term that it is becoming a staple in buzzword bingo games. Here’s a little secret about machine learning… many of the people who talk about
Many things in nature can be seen as chain reactions. When one action occurs, others follow suit. For example, atmospheric greenhouse gas levels are increasing, which leads to a warming of the oceans. As the oceans warm, weather and climate patterns across the globe are impacted because the amount of
