Identifies the business problem to be addressed

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Reference no: EM133399641

Question: Generates six unique data science projects
Includes at least three functional areas
No more than three projects per single functional area
Identifies (for each project) the business problem to be addressed
Identifies how data science will address each business problem
Identifies targeted business objective (revenue? customer acquisition? cost reduction?)
Correctly applies "Data Science Approach" framework to classify each project in terms of Approach
Correctly applies "Data Science Model Type" framework to classify each project in terms of Type of Model
Identifies all data needed for the project
Responses include the type of data
Responses note from where that data is generated (e.g., "sensor data from machine monitoring software")
Provides an estimate of the magnitude of each opportunity
Justification for each estimate should describe the reasons for designating the opportunity as small, medium, or large in magnitude
Provides an estimate and justification of the cost and complexity of each opportunity
Provides an estimate and justification of likelihood of value capture (Low/Medium/High)
Identifies stakeholders in both the executive ranks as well as functional leaders in other areas of the business
Capstone Project: 100-day Data Science Plan: Build a Data Science Strategy

Upon assuming a new leadership role within a company (whether from an internal move or joining the company anew), it is common for an executive to be asked to prepare a plan for their first 100 days in the job.

The capstone project asks students to prepare that 100-day data science plan for a company of their choosing; this could be the student's current company, some other existing company, or a fictitious business context we provide.

As part of this project, the student will build/create the following:

The Human Capital plan for their data science organization
The Technical plan for their data science organization
Data and Data Architecture Strategy
Machine Learning Architecture
Identification of six data science opportunities for the organization
Rack and stack evaluation of these opportunities
Detail the risks, challenges, and key factors for success for each of these opportunities
Roadmap for executing these six data science opportunities.

Reference no: EM133399641

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