Business Analytics Implementation Plan Part 2
LASA 2—Business Analytics Implementation Plan Part 2
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Assignment Components |
Unsatisfactory
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Emerging
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Proficient
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Exemplary
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Revise the proposal based upon feedback from instructor.
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Few, if any corrections/updates are addressed into the existing proposal. |
Most corrections/updates are addressed into the existing proposal. |
All corrections/updates are addressed into the existing proposal. |
All corrections/updates are addressed into the existing proposal, and expanded upon. |
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Explain the importance of MIS in relation to data-driven decisions.
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Explanation and definition of MIS are inaccurate or incomplete. There is no attempt to identify the relationship between MIS to data-driven decision making. |
Explanation and definition of MIS are accurate, but may be vague. The relationship between MIS to data-driven decision making is attempted, but may be vague. |
Explanation and definition of MIS are accurate. A clear, concise relationship of the importance of MIS to data-driven decision making is provided. |
Explanation and definition of MIS are accurate. A clear, concise relationship of the importance of MIS to data-driven decision making is provided. Supporting diagrams and examples are provided for relationship. |
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Describe the techniques and tools that can be utilized to manage the data.
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Discussion of at least 1 appropriate technique and 1 appropriate tool is attempted in relation to how they could assist in managing the data for the organization. |
At least 1 appropriate technique and 2 appropriate tools are discussed in relation to how they could assist in managing the data for the organization. |
At least 2 effective techniques and 3 effective tools are discussed in relation to how they could assist in managing the data for the organization. |
At least 2 effective techniques and 3 effective tools are discussed in relation to how they could assist in managing the data for the organization. Justification for choosing the specific techniques and tools is given. |
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Explain how the techniques and tools can be utilized to present the data to management.
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Explanation does not demonstrate how the techniques or tools could be utilized to present the data to management. |
Explanation demonstrates how the techniques or tools could be utilized to present the data to management. |
Explanation clearly demonstrates at least 3 examples of how the techniques and tools could be utilized to present the data to management. |
Explanation clearly demonstrates at least 3 examples of how the techniques and tools could be utilized to present the data to management. The examples are innovative and follow current best practices for managing data. |
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Explain how data can add value to the organization at all levels.
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Explanation does not specifically state how data can add value to the organization. |
Explanation demonstrates how data can add value to the overall organization. |
Explanation demonstrates how data can add value to the organization not only for day-to-day operations, but also how it can assist the organization with their strategic planning. |
Explanation demonstrates how data can add value to the organization not only for day-to-day operations, but also how it can assist the organization with their strategic planning. Examples are provided to further demonstrate how value was added to an existing organization. |
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Writing Components |
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Organization: Introduction, Thesis, Transitions, Conclusion
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Introduction is limited or missing entirely. The paper lacks a thesis statement. Transitions are infrequent, illogical, or missing entirely. Conclusion is limited or missing entirely.
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Introduction is present but incomplete or underdeveloped. The paper is loosely organized around a thesis that may have to be inferred. Transitions are sporadic. Conclusion is present, but incomplete or underdeveloped.
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Introduction has a clear opening, provides background information, and states the topic. The paper is organized around an arguable, clearly stated thesis statement. Transitions are appropriate and help the flow of ideas. Conclusion summarizes main argument and has a clear ending. |
Introduction catches the reader’s attention, provides compelling and appropriate background information, and clearly states the topic. The paper is well organized around an arguable, focused thesis. Thoughtful transitions clearly show how ideas relate. Conclusion leaves the reader with a sense of closure and provides concluding insights. |
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Usage and Mechanics: Grammar, Spelling, Sentence structure
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Writing contains numerous errors in spelling, grammar, and/or sentence structure that severely interferes with readability and comprehension. |
Errors in spelling and grammar exist that somewhat interfere with readability and/or comprehension.
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Writing follows conventions of spelling and grammar throughout. Errors are infrequent and do not interfere with readability or comprehension. |
The paper is basically error free in terms of mechanics. Grammar and mechanics help establish a clear idea and aid the reader in following the writer’s logic. |
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APA Elements: Attribution: Paraphrasing: Quotations
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No attempt at APA format. Insufficient sources cited. |
APA format is attempted to paraphrase, quote, and cite, but errors are significant. Minimum sources cited. |
Using APA format, accurately paraphrased, quoted, and cited in many spots throughout when appropriate or called for. Errors present are minor. Sufficient sources cited. |
Using APA format, accurately paraphrased, quoted, and cited throughout the presentation when appropriate or called for. Only a few minor errors present. Sources cited are more than sufficient. |
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Data Driven Decision-Making
©2014 Argosy University
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Data Driven Decision-Making
©2014 Argosy University