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A Look At SDC's Past Work

SDC partners with organizations across numerous industries to solve complex, measurable problems. While every engagement is unique, our proprietary methodologies provide scalable solutions that can be applied across a wide range of business challenges. Explore our case studies below to see how SDC has delivered results for our clients.

CASE STUDIES

To learn more about how SDC has worked to solve client problems in the past, view our list of case studies below.

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ROI

Simultaneous Experimental Designs

CUSUM

The Fast Food Case

When we do cases like these, our clients, especially in-house statistician, most often ask us the following questions.

FAQs

Isn't "holding condition's constant" (and changing one thing at a time) best?

Why does statistical design (and control) invariably work?

Why is "false alarm" a problem for small tests (e.g. 1 to 3 factors) but not for enormous tests (with say 20+ factors)?

How is repeatability built in and assured, without literally repeating the test?

How can 20 changes be tested without increasing sample size?

Isn't A-B split (or randomized control trial) on a single change more "pure"?

How does statistical design and control work with AI?

(Click on the question)

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