Database Reference
In-Depth Information
Key Concepts
Communicating and operationalizing an analytics project
Creating the final deliverables
Using a core set of material for different audiences
Comparing main focus areas for sponsors and analysts
Understanding simple data visualization principles
Cleaning up a chart or visualization
This chapter focuses on the final phase of the Data Analytics Lifecycle:
operationalize. In this phase, the project team delivers final reports, code, and
technical documentation. At the conclusion of this phase, the team generally
attempts to set up a pilot project and implement the developed models from Phase
4 in a production environment. As stated in Chapter 2, “Data Analytics Lifecycle,”
teams can perform a technically accurate analysis, but if they cannot translate the
results into a language that resonates with their audience, others will not see the
value, and significant effort and resources will have been wasted. This chapter
focuses on showing how to construct a clear narrative summary of the work and a
framework for conveying the narrative to key stakeholders.
