New project to offer data labelling services

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Reference no: EM133898763

Business Analytics Project Management

Assessment - Case Study Analysis

Assessment Description

Data Labelling services to be offered by Uber

Uber has embarked on a new project to offer data labelling services to any business interested in this service.
Uber is now offering this service because of the data labelling capability it has developed in-house for its own suit of technology ventures, including Uber taxis, Uber Eats and Uber Freight. Uber for Business is their business unit responsible for offering data labelling services to third party businesses. Get Assignment Help from the Best tutors!

The business need
Uber have decided that offering data labelling services presents a substantial new business opportunity. As a result of this decision, you have been appointed as the Project Manager within the "Uber for Business" subsidiary to bring this service to life.

The Project Owner is the General Manager of Uber for Business division. The Project Sponsor is the Chief Financial Officer for this division.
Your Project team is resourced from staff within the Uber for Business division, along with access Uber's central IT function. Given the large scale of this project, you have also been allocated three Project Facilitators, with 100% of their time dedicated to this project.

The project

As Project Manager, you are responsible for making the Uber data labelling service, operational, to third party businesses. You have been allocated a budget of $ 10 million and a timeframe of 6 months. You are under pressure to deliver, as Uber is aware of the value of "first mover" advantage in the technology sector.
The Business case for this project has already been prepared and approved by the Project Owner (General Manager)

Your Questions for Assessment 1
Map out the tasks you consider are required for this project, using the Business Analytics life cycle

Outline the steps in the project management methodology you intend to follow

Which stakeholders would you invite to your project planning workshop. Include the reasons for nominating these stakeholders.

As this is a Business Analytics project, accessing data is fundamental to the progression of this project. Explain the type of data you will seek as part of this project and how you will ensure this data is accessed in your required timeframe.

Your referencing must include at least 2 direct references from lecture slides in addition to other supporting material

Question 1

The Business Analytics life cycle has the following stages:

The Discovery Stage can involve identifying and assessing the business need.
The Data Preparation Stage requires accessing the data to be used in the project, making sure the data is relevant (fit for purpose) and cleaned for the task at hand.

The "Model Planning Stage" and "Model Building" stages require the Project Manager to liaise with relevant stakeholders, including Data Scientists, to ensure the data labeling business best serves 3rd party businesses.
The "Communication of results" stage includes how best to communicate the output of the service to
customers, as well as internal stakeholders

The "Operationalisation" stage includes tasks to make Uber data Labelling, a viable business.

Question 2

It is likely that the project management methodology for the Uber Data labeling project will either be sequential, (like waterfall),iterative (like agile) or be aligned to CRISP-DM (as used in Data Science). These steps will then need to be reconciled to the Business Analytics life cycle

Question 3

Stakeholders to invite to your project planning workshop could come from a range of departments, as well as externalagencies. Examples are included in the diagram below:

Question 4

The type of data you will seek as part of this project and how you will ensure this data is accessed in your required timeframe requires you to first prepare a data strategy. Data needs to be relevant, accessible and deliver against the business objectives. Consider the data needed in descriptive, predictive and prescriptive analytics to best meet the needs of the Uber Data Labelling project.

Reference no: EM133898763

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