Express the business and/or project needs of each group and how different data analytic project frameworks and/or processes work to fulfill each need as described. In particular, address the following, The project and business needs of each viewpoint (3 to 5 for each, see below) The pros and cons of different frameworks and/or processes for cach need (what’s good and not-good for the need at The trade-offs between the different recommendations made Variations in recommendations based on project characteristics (.e. consider how different project characteristics like goals, size, budget, dead lines, etc. affect recommendations) hand) Write a three-section paper, plus an introduction, conclusion, and reference section, on using various frameworks for managing data analytic projects given different parties, i.e. a particular point of view. Each section will address the needs (see below) and recommendations for a particular viewpoint. The points of view (different parties) are that of, 1) data analyties professionals (i.e. those doing the work). 2) business managers (who may be ignorant of how to do data analytics), and 3) customers, whose needs can be unique. (Here, customer can be internal or external. Be sure to clarify who the customer is.) Express the business and/or project needs of each group and how different data analytic project frameworks and/or processes work to fulfill each need as described. In particular, address the following, a. The project and business needs of each viewpoint (3 to 5 for each, see below) b. The pros and cons of different frameworks and/or processes for each need (what’s good and not-good for the need at hand) c. The trade-offs between the different recommendations made d. Variations in recommendations based on project characteristics (i.e. consider how different project characteristics like goals, size, budget, dead lines, etc. affect recommendations) Each point of view (3) should have these four things considered. The Conclusion section should Each point of view (3) should have these four things considered. The Conclusion section should summarize, as well as compare and contrast the recommendations. Examples of business and project needs (no particular order or grouping) are: user involvement, transparency, aspects of communication, data security, data privacy, work accommodations, participation facilitation, dispersed workgroups, cultural differences, regulations, competition, budgetary constraints, and operational issues. This list is not definitive nor exhaustive. The needs you present may or may not include any of these. These are given in support of your consideration. The business and project needs you define for each viewpoint should be well articulated (and possibly defined if needed). It is expected that the frameworks specific to data analytics projects will be considered, and that vour arguments will draw upon the
