Databases Reference
In-Depth Information
These are outputs are very well understood by analytics professionals but very
difficult to comprehend for a business user.
Can the data scientist construct three to four meaningful English statements from
the above sample analytical outputs? Can he/she cross the big chasm from math to a
business pattern that can be well understood by businesses?
In summary, these tests are by no way collectively exhaustive or perfect. But the tests
serve as a reasonable starting point to identify data-scientist-type resources.
References
Big Data Analytics Architecture: By Neil Raden