What is a key characteristic of deliverables in an analytics project?

Get ready for the WGU DTAN3100 D491 Introduction to Analytics Exam with our comprehensive quiz. Access a variety of multiple-choice questions and detailed explanations to enhance your study experience.

In an analytics project, deliverables are critical components that represent the outcomes of the analysis and must be measurable and verifiable. This characteristic is essential because the primary objective of any analytics project is to provide insights and solutions that can be substantiated through data. Measurable and verifiable outcomes enable stakeholders to assess the effectiveness of the analytics efforts, ensure that objectives align with business requirements, and facilitate informed decision-making based on solid evidence.

This characteristic underscores the importance of having clearly defined metrics and criteria against which the results of the project can be evaluated. By focusing on outcomes that can be quantified, organizations can track progress, optimize processes, and demonstrate the value derived from their analytics initiatives. Deliverables that meet this criterion also support accountability, as they provide a clear basis for evaluating success.

In contrast, focusing solely on raw data, presenting results in narrative format, or emphasizing technological implementations do not highlight the necessary focus on measurable outcomes that drive actionable insights within an analytics project. While raw data is crucial for analysis, it is the transformation into actionable insights that defines the success of the project. Similarly, narrative formats have their place, but they do not inherently guarantee that the outcomes are quantifiable or verifiable. Lastly, while technology plays a role in analytics

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