Yearly Archives: 2015

Gastbeitrag 0
Energiewende ist Smart Data mit Big Data

Was nun - Big Data oder Smart Data? Die Antwort: beides – denn das eine bedingt das andere. Die Kunst ist, aus einer riesigen Datenmenge den wesentlichen Teil zu extrahieren. Die Energiewende basiert zum einen auf dem verstärkten Einsatz regenerativer Energien, zum anderen soll die produzierte Energie effektiver eingesetzt werden. Dies

Learn SAS
Rick Wicklin 0
IF-THEN logic with matrix expressions

In the SAS DATA step, all variables are scalar quantities. Consequently, an IF-THEN/ELSE statement that evaluates a logical expression is unambiguous. For example, the following DATA step statements print "c=5 is TRUE" to the log if the variable c is equal to 5: if c=5 then put "c=5 is TRUE";

Data Management
Helmut Plinke 0
Big data quality

Utilizing big data analytics is currently one of the most promising strategies for businesses to gain competitive advantage and ensure future growth. But as we saw with “small data analytics,” the success of “big data analytics” relies heavily on the quality of its source data. In fact, when combining “small” and “big” data

Learn SAS
Rick Wicklin 0
What is an empty matrix?

At the beginning of my book Statistical Programming with SAS/IML Software I give the following programming tip (p. 25): Do not confuse an empty matrix with a matrix that contains missing values or with a zero matrix. An empty matrix has no rows and no columns. A matrix that contains

Customer Intelligence
Stuart Rose 0
Is the customer experience overrated?

According to analyst firms, consulting companies and various other research, customer experience is the primary priority for insurance companies.  But is customer experience overrated? Let’s start by considering the primary interactions between an insurance company and its customers: new business, billing, renewals and claims. Ask any insurance executive, especially property

Learn SAS
Rick Wicklin 0
Five tips from Simulating Data with SAS

Data simulation is a fundamental technique in statistical programming and research. My book Simulating Data with SAS is an accessible how-to book that describes the most useful algorithms and the best programming techniques for efficient data simulation in SAS. Here are five lessons you can learn by reading it: Learn strategies

Roland Brezina 0
DLD: Alles nur noch digital? Glaube ich nicht!

Bei der DLD Konferenz in München geben sich vor Ort und via Livestream digital die Entscheider die Türklinke in die Hand: Die Timeline bei Twitter liest sich wie das Who-is-Who der deutschen Digitalen Szene. Es ist davon auszugehen, dass auch nach der Konferenz dadurch einiges in Bewegung kommen wird. Was gut und

Data Visualization
Sanjay Matange 0
Displaying Unicode Symbols in Legend

Including special Unicode symbols into the graph is getting more popular.  In general, SG procedures support Unicode strings in places where these strings are coded into the syntax such as TITLE, FOOTNOTE.  These support Unicode characters and also the  special {SUP} and {SUB} commands.  This is because these statements are rendered

Programming Tips
Erwan Granger 0
Cloud: 4 deployment models

This is the last of my series of posts on the NIST definition of cloud computing. As you can see from this Wikipedia definition, calling anything a “cloud” is likely to be the fuzziest way of describing it. In meteorology, a cloud is a visible mass of liquid droplets or frozen

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