Page 99 - The Real Work Of Data Science Turning Data Into Information, Better Decisions, And Stronger Organizations by Ron S. Kenett, Thomas C. Redman (z-lib.org)_Neat

92 Appendix A

4. Data analysis:
• Have a broad knowledge and true understanding of scientific methods.
• Adapt existing analytic procedures to novel environments.
• Keep abreast of developments in data science.
• Use the simplest appropriate analytic procedure to get the job done.
5. Formulation of findings:

• Explain results in the language of decision‐makers.
• Work with decision‐makers to ensure they understand the important nuances and uncer-
tainties associated with results.

6. Operationalization of findings:
• Support implementation of important decisions in practice.
7. Communication of findings:

• Teach in ways that best suit those you are teaching.
• Learn to convince others of the validity of a solid solution and see to it that proper action
is taken.
• Be diplomatic and know when to bend, when to stand firm, and how to help resolve con-
flicts among other team members.
• Communicate effectively both orally and in writing.
8. Impact assessment:

• Judge your work on the basis of its impact.
• Learn from successes and failures.