introduction datat analytic low code no code

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شرح پروژه

Low Code/No Code Review This project is to be completed by project groups that will be created by your instructor. Each project group is responsible for identifying a low-code/no-code data analytics tool or software system, reviewing the tool, and reporting their findings in a written report (MS Word document) and a recorded presentation (MP4 or MOV file). Although you are free to select the tool that you review, you must have your choice approved by the instructor before you commence work on the assignment. Possible tools include Pentaho, PowerAutomate/Power Apps, Mendix, sisense, Zapier, Alteryx, and Splunk. Your review should examine all aspects of the tool that are relevant to a manager contemplating its deployment. These elements include tool capabilities, performance, scalability, hardware requirements, capacity to integrate with other prominent tools, implementation time and costs, ongoing operation and support needs, user training requirements, and availability of suitable skills in the labour market. Reviews must be submitted electronically to the designated Blackboard assignment folder. Only one submission is required from each group though every group member is expected to contribute equitably to the completion of this assignment. Grades assigned to individual group members will be adjusted to reflect evaluations of their performance by all other group members. In addition, you will receive a grade of zero for this assignment if you fail to submit a suitably completed peer evaluation form via the Blackboard test or assignment folder created for this purpose. Group submissions must include the following two components.  An MS Word document that represents a written report of your review effort. This document should use 12-point Times New Roman font and be a maximum of ten 8.5” x 11” single-spaced pages with 1” margins. Note that this limit does not include appendices or references.  An MP4 or MOV file of no more than ten minutes in length that encapsulates your digital presentation. Please note that incomplete submissions will not be graded. Also, in preparing your submission files you must abide by University of Windsor policies governing plagiarism and academic integrity. Submissions may be subjected to review by automated tools to verify their originality. Grading Rubric Content (75%)  A clear, compelling description of the solution and its use is provided  Sound justification is offered for the role and business value of the solution  Substantive examination of considerations that are important to managers contemplating the deployment of the tool is provided. These considerations include: o Tool capabilities and performance o Hardware requirements and scalability o Capacity to integrate with other prominent tools o Implementation time and costs o Ongoing operation and support needs o User training requirements o Availability of suitable skills in the labour market  A clear succinct demonstration is provided to illustrate how the solution can be applied in the realm of data analytics  Relevant supporting data has been included if appropriate Reporting and Presentation (25%)  Content is clear and logically structured  Submitted materials are professional in character, being suitable for use by a business contemplating the use of the solution being reviewed  Tables, figures, and other supplemental materials are included as appropriate  Visual elements such as fonts, font sizes, color schemes, backgrounds, and pictures are aesthetically sound  Course learning is applied to present important insights in a manner that is succinct and easy to understand  Sound conclusions are drawn that are in accord with the analysis performed  All requested materials have been submitted on time

مهارت ها و تخصص های مورد نیاز

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