On any inauguration day in our country’s history people probably found themselves in one of three categories: happy & hopeful, disappointed & apprehensive, or apathetic & checked-out. Change is difficult, whether you perceive it as positive or negative. This blog is not to share which category I fall into but
The financial sector has always been subjected to regulatory compliance laws and directives. Consumers, lawmakers and politicians would expect no less. But it's fair to say that the financial sector has witnessed a "hockey stick" trend regarding new regulations in recent years.
Suppose you create a scatter plot in SAS with PROC SGPLOT. What color does PROC SGPLOT use for the markers? If you specify the GROUP= option so that markers are colored by a grouping variable, what colors are used to represent the various groups? The following scatter plot shows the
Having addressed the adaptability and power of an analytics environment in my last two posts, I thought I'd close out this mini-series of blogs by providing the business and technology implications of three attributes that need to define any truly open and unified analytics environment: Cohesion Business: The platform enables
It was just a few years ago that the idea of an Internet of Things (IoT) seemed far off, something out of a science-fiction movie. After all, why would a vehicle need to talk to the road? Why would our utility meters need to talk to the central office? The
„Die IT liefert nicht, der Fachbereich weiß nicht, was er heute oder morgen an Daten haben will“… Beide haben recht, ein Dilemma, das darin endet, dass Selbsthilfe betrieben wird. Der Informationshunger besteht weiterhin, und was nicht geliefert wird, besorgt man sich auf anderem Wege. Da wären: die SAP-Maske, Excel, Datenbank(en),
To make it easy to identify non-value adding areas, you can build a simple application using SAS® Visual Analytics software. Such an application lets you point and click your way through the organization’s forecasting hierarchy, and at each point view performance of the Naïve, Manual, Statistical, and Automated forecasts (or
.@philsimon says that, once again, there's quite a bit to learn from Amazon.
2017 stehen die Themen Big Data und Analytics immer noch ganz oben auf der Agenda. Doch Gott sei Dank ist die Diskussion nun einen Schritt weiter und dreht sich um die geschäftlichen Auswirkungen der Technologie. Wie kann der Einsatz von Analytics-as-a-Service den Umsatz erhöhen, Kosten reduzieren oder einen Wettbewerbsvorteil sichern?
In a previous article, I showed how to simulate data for a linear regression model with an arbitrary number of continuous explanatory variables. To keep the discussion simple, I simulated a single sample with N observations and p variables. However, to use Monte Carlo methods to approximate the sampling distribution
To properly evaluate (and improve) forecasting performance, we recommend our customers use a methodology called Forecast Value Added (FVA) analysis. FVA lets you identify forecasting process waste (activities that are failing to improve the forecast, or are even making it worse). The objective is to help the organization generate forecasts
I usually create very technical maps, to display data spatially - and they usually have a certain look. They're clear, crisp, and to the point. I typically only use color to represent the data, and I choose a font that is simple and easy to read (such as arial). But
Did you know that January is Human Trafficking Awareness Month in the United States? If not, you may not know that researchers estimate that human trafficking is a global industry with revenues from $51 to $99 billion annually, up from $32 billion just a few years ago. In this case,
You have all seen, or perhaps even created, some really bad graphics: Cluttered, confusing, too small, incomprehensible. Or worse, the author may have committed one of the three unforgivable sins of data visualization by deceptively distorting a map, truncating the axis so as to misrepresent the data, or used double
Unendliche Weiten … nein, heute meine ich damit mal nicht das gute alte Raumschiff Enterprise (übrigens 50-jähriges Jubiläum), sondern die Möglichkeiten, die sich einem auftun, wenn man bereit ist, sich auf etwas Neues einzulassen. Eigentlich ist das ziemlich einfach: Man schaut sich bei Leuten um, die aus einer vollkommen anderen
If you are a SAS programmer and use the GROUP= option in PROC SGPLOT, you might have encountered a thorny issue: if you use a WHERE clause to omit certain observations, then the marker colors for groups might change from one plot to another. This happens because the marker colors
I’ve had several meetings lately on data management, and especially integration, where the ability to explore alternatives has been critical. And the findings from our internet of things (IoT) early adopters survey confirms that the ecosystem nature of data sources in IoT deployments means we need to expand the traditional
Am 28. Januar war Europäischer Datenschutztag und ab sofort gilt dann verschärftes EU-Recht – so kommt es einem zumindest vor bei Gesprächen mit Datenschutz-Experten, bei ihrem Streben, die neue EU-Datenschutz-Grundverordnung (DSGVO) zu bewältigen. Was ist schutzwürdig? Alles bekannt Personenbezogene, sowieso. Mehr aber noch das Unbekannte.
Preview of the Winter 2017 issue of Foresight Foresight begins the new year with our 44th issue since the journal began publishing in 2005, and in this Winter 2017 collection we’re showcasing a broad range of incisive and entertaining pieces. We’re looking at new research on the effectiveness of collaboration
In my last post I described "4 adaptability attributes for analytical success," and in the past I've discussed the strategic role analytics play in helping organizations succeed now and into the future. Now I'd like to discuss three attributes that define a powerful analytics environment: Speed Accuracy Scalability [NOTE: Any
I've been working on a pilot project recently with a client to test out some new NoSQL database frameworks (graph databases in particular). Our goal is to see how a different storage model, representation and presentation can enhance the usability and ease of integration for master data indexes and entity
Tell me if you’ve heard this before: Your company hired (or re-titled) a talented data scientist and they have great skills and no data. Or they're marginalized by IT because they're misunderstood. They're offered “cleansed” data that will fit into the hardware provisioned. What they want is “all” relevant data
Are you one of those people who get easily bored at amusement parks? Would you like something to do while your friends/family are waiting in line for a ride? Perhaps I have an alternate idea, to keep you busy - survey markers! When surveyors are measuring and marking areas for
This article shows how to simulate a data set in SAS that satisfies a least squares regression model for continuous variables. When you simulate to create "synthetic" (or "fake") data, you (the programmer) control the true parameter values, the form of the model, the sample size, and magnitude of the
Editor's note (10/25/17): You can practice what you learned in class with 15 hours of Free virtual lab time when you attend the in-person or Live Web Applied Analytics Using SAS Enterprise Miner class. Register now. Are you interested in taking an advanced course on the machine learning topic of Neural Networks? Does text
Historically, tax havens have been a key tool for tax evaders to store and hide unreported and untaxed money. I would agree with most observers that the Panama papers (11.5 million leaked documents that detail financial information for more than 214,488 offshore entities) are just the tip of the tax
In a previous blog, Random Sampling: What's Efficient?, I discussed the efficiency of various techniques for selecting a simple random sample from a large SAS dataset. PROC SURVEYSELECT easily does the job: proc surveyselect data=large out=sample method=srs /* simple random sample */ rate=.01; /* 1% sample rate */ run; Note:
We are a few months away from SAS Global Forum in Orlando. You might think that the conference kicks off Sunday night at opening session, but there are plenty of weekend activities before then and I’d like to highlight one of them: SAS certification exam sessions. Isn’t now a great
The SAS analytical documentation has a new look. Beginning with the 14.2 release of the SAS analytical products (which shipped with SAS 9.4m4 in November 2016), the HTML version of the online documentation has moved to a new framework called the Help Center. The URL for the online documentation is
I continue to find the concept of explaining analytics through storytelling intriguing. As I have written before, at first blush this did not seem immediately clear to me. The advice to use storytelling appeared somewhat vague, trite and without substance. More importantly, it seemed to conflict with the rigor required
