Chapter 12: The Endgame Or Putting It All Together
Chapter 12 The Endgame Or Putting It All Together
Describe two common deliverables from analytics projects. What factors must be considered when preparing the presentation of the deliverables? Why does the format of the deliverables matter? Please discuss the roles that should participate in this process. Textbook(s) Required: EMC Education Service (Eds). (2015) Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing, and Presenting Data, Indianapolis, IN: John Wiley & Sons, Inc. ISBN: Forum rules: Your answer must be substantive, which usually requires 300 words Your answer must be well written and well organized Your answer must include one properly formatted APA in-text citation to a scholarly reference. The full reference must be provided at the end of your answer with a link if one is available.
Paper For Above instruction
In data analytics projects, two common deliverables are comprehensive reports and visual dashboards. These deliverables serve to communicate findings to stakeholders effectively and support decision-making processes. Each type requires careful planning in presentation to ensure clarity, relevance, and usability, considering factors such as audience expertise, the complexity of data, and the context of decision-making (EMC, 2015).
The first deliverable, the analytical report, provides a detailed narrative, including methodology, analysis steps, results, and interpretations. Its presentation should be organized logically, emphasizing clarity and conciseness. It is essential to tailor the content to the target audience, whether technical or managerial, to facilitate understanding. Use of executive summaries, summaries of key insights, charts, and tables enhances readability and ensures stakeholders grasp primary conclusions without delving into technical details (EMC, 20115).
The second deliverable, dashboards, are visual tools designed for quick data interpretation and ongoing monitoring. They should prioritize intuitive design, using visual elements like charts, heat maps, and gauges for immediate insight. The format must be interactive and customizable where applicable, allowing users to explore different data facets conveniently. Consistency in color schemes, labels, and layout enhances usability. The format of dashboards directly influences their effectiveness; if they are cluttered or unintuitive, they hinder decision-making rather than support it.
Participation from various roles is crucial throughout the process. Data analysts or data scientists often prepare the technical content, while business analysts or project managers review for relevance and clarity. Stakeholders, including executives and operational staff, provide feedback to shape the presentation’s focus. Effective communication among these roles ensures the final deliverable is aligned with strategic needs and user capabilities. Collaboration guarantees that technical details are accessible to non-technical audiences, maximizing the impact of the insights provided.
In conclusion, selecting appropriate formats for analytical reports and dashboards and involving diverse roles in their creation are critical to translating data insights into actionable strategies. The effectiveness of these deliverables determines the success of the overall analytics initiative in driving informed decision-making and organizational growth.
References
EMC Education Service (Eds.). (2015). Data science and big data analytics: Discovering, analyzing, visualizing, and presenting data. John Wiley & Sons.