2. Know Your Ingredients—Data Big and Small
“The most common cooking mistakes—you use inferior ingredients.”
Garbage in, Garbage out
With the increase in the use of business analytics (BA), the caveat “garbage in, garbage out” is more apt today than ever before. The proliferation of data has made it more imperative to pay attention to data before you attempt analytics. Because few analytics projects today are done with a single data type or source, there are questions about how data characteristics would affect the way data is to be integrated and used. To distinguish many new and less-structured data from the conventional data stored in databases, data-warehoused, and analyzed with Online Analytic Processing (OLAP) and business ...
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