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group is interested in ensuring that running the model fits smoothly into the
production environment and the model can be integrated into downstream
processes. While executing the model in the production environment, the team
should aim to detect input anomalies before they are fed to the model, assess run
times, and gauge competition for resources with other processes in the production
environment.
Chapter 2 included an in-depth discussion of the Data Analytics Lifecycle,
including an overview of the deliverables provided in its final phase, at which time
it is advisable for the team to consider the needs of each of its main stakeholders
and the deliverables, illustrated in Figure 12.2 , to satisfy these needs.
Figure 12.2 Key outputs from a successful analytic project
Following is a brief review of the key outputs for each of the main stakeholders of
an analytics project and what they usually expect at the conclusion of a project:
Business User typically tries to determine the benefits and implications
of the findings to the business.
Project Sponsor typically asks questions related to the business impact
of the project, the risks and return on investment (ROI), and how the
project can be evangelized within the organization and beyond.
Project Manager needs to determine if the project was completed on
time and within budget.
Business Intelligence Analyst needs to know if the reports and
dashboards he manages will be impacted and need to change.
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