Business Analytics Capstone

Methode

Business Analytics Capstone

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Beschreibung

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About this course: The Business Analytics Capstone Project gives you the opportunity to apply what you've learned about how to make data-driven decisions to a real business challenge faced by global technology companies like Yahoo, Google, and Facebook. At the end of this Capstone, you'll be able to ask the right questions of the data, and know how to use data effectively to address business challenges of your own. You’ll understand how cutting-edge businesses use data to optimize marketing, maximize revenue, make operations efficient, and make hiring and management decisions so that you can apply these strategies to your own company or business. Designed with Yahoo to give you invaluab…

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Frequently asked questions

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When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan

  • Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
  • Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.

About this course: The Business Analytics Capstone Project gives you the opportunity to apply what you've learned about how to make data-driven decisions to a real business challenge faced by global technology companies like Yahoo, Google, and Facebook. At the end of this Capstone, you'll be able to ask the right questions of the data, and know how to use data effectively to address business challenges of your own. You’ll understand how cutting-edge businesses use data to optimize marketing, maximize revenue, make operations efficient, and make hiring and management decisions so that you can apply these strategies to your own company or business. Designed with Yahoo to give you invaluable experience in evaluating and creating data-driven decisions, the Business Analytics Capstone Project provides the chance for you to devise a plan of action for optimizing data itself to provide key insights and analysis, and to describe the interaction between key financial and non-financial indicators. Once you complete your analysis, you'll be better prepared to make better data-driven business decisions of your own.

Created by:  University of Pennsylvania
  • Taught by:  Wharton Teaching Staff, Educators

    The Wharton School
Basic Info Course 5 of 5 in the Business Analytics Specialization Level Intermediate Commitment 4 weeks of study, 4-5 hours/week Language English How To Pass Pass all graded assignments to complete the course. User Ratings 4.3 stars Average User Rating 4.3See what learners said Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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University of Pennsylvania The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.

Syllabus


WEEK 1


Module 1: Capstone Project Topic - The Problem of Adblocking



The Business Analytics Specialization was designed to help you learn how to think about using data in making big (and small) business decisions. In this Capstone project, you'll be asked to create a strategy for a fictional digital search engine and content provider, GoYaFace, Inc. (often abbreviated as “GYF”). The strategy will be used in responding to the increasing popularity and availability of “adblocking” software, which could have significant negative repercussions for GYF’s business. You are to assume the role of the leader of the Digital Advertising Tactics and Action (“DATA”) Team at GYF, which has been assigned the job of formulating GYF’s strategy in responding to the threat of adblocking. Your task is to develop a strategy that will be recommended to GYF’s senior leadership. Using what you've learned about business analytics, you'll (i) create a detailed problem statement focusing on GYF’s ad-buying customers (Module 2), (ii) develop a strategy (Module 3), (iii) describe the anticipated effects of the strategy (Module 4), and (iv) form a plan for measuring the effects of your strategy (Module 4). You'll then put these four pieces together into a final project (Module 5). First, please read the full description of the project in the “Project Description” link below, and then look at the background information about adblockers and the “GYF Company Profile” link in the content for Module 1. When you are ready to begin the first assignment, please move on to Module 2: Defining the Problem.


6 readings expand


  1. Reading: Start Here! Project Description: Business Analytics Capstone
  2. Reading: GYF Company Profile
  3. Reading: The Importance of Mobile Advertising
  4. Reading: Further Exploration into Online Advertising Response Models
  5. Reading: How Internet Ads Work
  6. Reading: Project Template
  7. Discussion Prompt: Introductions


Module 2: Defining the Problem



In Module 2, you'll define the problem adblockers poses for GYF. GYF is intended to be a composite of leading internet platform and content providers who derive substantial revenues from mobile advertising like Google, Yahoo, and Facebook, so you should frame your research around the real-world problems these companies have faced and are facing. Defining the problem thoroughly will have a direct impact on how successful your strategy will be received by your peers. The more deeply you consider the effects of adblockers on the companies that buy advertising space from GYF, the more appropriate your overall strategy is likely to be. Please use the resources below to find out more about the problem, and then create your Problem Statement and submit it for peer review below. You can and should draw from all of the Business Analytics Specialization courses, but your Problem Statement should focus on how adblockers might adversely affect GYF’s relationship with the companies that pay GYF to place advertisements on GYF’s mobile applications and content. You should consider the issue of causality in your Problem Statement - we've included some lectures from the underlying courses to refresh you on that topci. And you are strongly encouraged to complete and include a response to Application Exercise 1 (see link below) as part of your Problem Statement.


8 videos, 5 readings expand


  1. Reading: Definition of the Adblocking Problem
  2. Reading: Whiting Out the Ads, but at What Cost?
  3. Reading: Apple's Support of Adblocking
  4. Reading: Why Adblockers Are Spurring a New Technology Arms Race
  5. Reading: Application Exercise 1 – Recommending Customer Analytics Research Methods to Explore Your Problem
  6. Discussion Prompt: Approaching Problems with an Analytical Mindset
  7. Video: What is Descriptive Analytics? (Customer Analytics)
  8. Video: Descriptive Data Collection (Customer Analytics)
  9. Video: Passive Data Collection (Customer Analytics)
  10. Video: Beyond Period 2 (Customer Analytics)
  11. Video: Causality 1 (People Analytics)
  12. Video: Causality 2 (People Analytics)
  13. Video: Reverse Causality (People Analytics)
  14. Video: Causal Data Collection and Summary (Customer Analytics)

Graded: Problem Statement

WEEK 2


Module 3: Your Strategy



In Module 3, you will focus on creating your recommended strategy for GYF to address adblockers. Your strategy does not have to be lengthy, but it must be clear, and it must address the problem. (Hint: if you have a clearly defined problem, your strategy is much more likely to be clearly defined as well). You'll be submitting your strategy for peer review, and then also reviewing the work of at least 3 of your peers. It's OK if reviewing the strategies of other learners in this course gives you further ideas for revising your own strategy. One of the primary benefits of peer review is to expand the range of feedback you can get, and we designed this Module around peer review so that you can get as much feedback as possible before moving on to the next phase of the project. You may find the resources and lectures below helpful in formulating your strategy and considering how data can be leveraged and appropriately understood. You are strongly encouraged to complete and include your response to Application Exercise 2 as part of your Strategy.


7 videos, 3 readings expand


  1. Reading: Does Your Strategy Need a Strategy?
  2. Reading: How Advertisers Can Beat Adblockers
  3. Reading: Application Exercise 2 - Using People Analytics Methods to Hire a Leader to Implement Your Strategy
  4. Discussion Prompt: The Importance of Execution in Strategy
  5. Video: Performance Evaluation: the Challenge of Noisy Data (People Analytics)
  6. Video: Finding Persistence: Regression to the Mean (People Analytics)
  7. Video: Extrapolating from Small Samples (People Analytics)
  8. Video: The Wisdom of Crowds: Signal Independence (People Analytics)
  9. Video: Process vs. Outcome (People Analytics)
  10. Video: Hiring 1 (People Analytics)
  11. Video: Hiring 2 (People Analytics)

Graded: Strategy

WEEK 3


Module 4: Effects of Your Strategy/Measuring these Effects



Module 4 was designed to give you the opportunity to focus on the effects of your strategy. Effects and Measurement can be often overlooked in strategy development; creating a thoughtful and thorough plan for measuring the effects will improve your final project tremendously. In this part of the project, you will describe two events: what you think will happen and how you will measure it. Look to the courses in the Business Analytics Specialization to see what kind of data companies use to measure effects to create a measurement plan of your own. You are strongly encouraged to complete and include your responses to Application Exercises 3 and 4 as part of your Effects and Measurement components. You may create a scenario (Operations Analytics) to predict some of the intended effects of your strategy, either following the outline of Application Exercise 3, or of your own design. Once you submit your own plan for effects and measurement, please review the work of at least three of your peers. You may find new ideas, or new ways of looking at data and measurement from this exercise. We encourage you to incorporate what you've learned into your final submission!


8 videos, 4 readings expand


  1. Reading: Resources for Thinking About Effects and Outcomes
  2. Reading: Application Exercise 3 - Using Operations Analytics Methods to Understand the Allocation of Scarce Resources in Pursuing a Strategy
  3. Reading: Application Exercise 3 Spreadsheet
  4. Reading: Application Exercise 4 - Using Accounting Analytics Methods to Measure the Key Drivers of Your Proposed Strategy
  5. Discussion Prompt: Questions and Tips for Your Fellow Learners
  6. Video: The Newsvendor Problem (Operations Analytics)
  7. Video: How to Build an Optimization Model (Operations Analytics)
  8. Video: Optimizing with Solver (Operations Analytics)
  9. Video: Simulating Uncertain Outcomes in Excel (Operations Analytics)
  10. Video: Decision Trees (Operations Analytics)
  11. Video: Linking Non-financial Metrics to Financial Performance: Overview (Accounting Analytics)
  12. Video: Steps to Linking Non-financial Metrics to Financial Performance (Accounting Analytics)
  13. Video: Incorporating Analysis Results in Financial Models (Accounting Analytics)

Graded: Effects and Measurement Metrics

WEEK 4


Module 5: Final Project Submission



In this final Module, you will combine the four revised elements of your presentation (Problem Statement, Strategy, Effects, and Measurement, including any responses to the Application Exercises you've completed) into one presentation and submit it for peer review. You'll then be asked to review the work of at least three of your peers. Once you have gotten feedback on your plan, you may use it as an example of strategic thinking at your current job, or as a work sample when you are applying for a new one. A successful strategic analysis which describes the use of data-driven decision making will make you much more marketable in almost any field. Good luck!


3 videos expand


  1. Discussion Prompt: Putting Analytics into Action
  2. Video: Applications: ROI (Customer Analytics)
  3. Video: Radically New Data Sets in Marketing (Customer Analytics)
  4. Video: Analytics Applied: Kohl's, Netflix, AmEx and more (Customer Analytics)

Graded: Final Project: Complete Strategic Analysis

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