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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

Rick Wicklin 0
Calling a global statement inside a loop

The other day I was creating some histograms inside a loop in PROC IML. It was difficult for me to determine which histogram was associated with which value of the looping variable. "No problem," I said. "I'll just use a TITLE statement inside the loop so that each histogram has

Dan Donovan 0
5 steps to fostering adoption of fraud analytics

Special Investigation Units (SIU) are extremely process-oriented and follow well-documented procedures to decide when a claim should be referred for investigation and what actions should be taken. Most of the staff are seasoned investigators who may be more inclined to trust their experience and tried-and-true processes than analytical techniques that

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