Case studies in business analytics with ACCENTURE from Coursera

Who is this course for ?

This course is RESTRICTED TO LEARNERS ENROLLED IN Strategic Business Analytics SPECIALIZATION as a preparation to the capstone project. During the first two MOOCs, we focused on specific techniques for specific applications. Instead, with this third MOOC, we provide you with different examples to open your mind to different applications from different industries and sectors.

The objective is to give you an helicopter overview on what's happening in this field. You will see how the tools presented in the two previous courses of the Specialization are used in real life projects.

We want to ignite your reflection process. Hence, you will best make use of the Accenture cases by watching first the MOOC and then investigate by yourself on the different concepts, industries, or challenges that are introduced during the videos.

At the end of this course learners will be able to:

- identify the possible applications of business analytics,

- hence, reflect on the possible solutions and added-value applications that could be proposed for their capstone project.

The cases will be presented by senior practitioners from Accenture with different backgrounds in term of industry, function, and country. Special attention will be paid to the "value case" of the issue raised to prepare you for the capstone project of the specialization.

About Accenture

Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions—underpinned by the world’s largest delivery network—Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With more than 358,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at www.accenture.com.

What's inside

Syllabus

Introduction to case studies in business analytics with Accenture

In this introductory module, Fabrice Marque, Managing Director Customer Strategy Practice Lead for France, Belgium and the Netherlands, also in charge of the ESSEC-Accenture Strategic Business Analytics Chair, will first introduce the MOOC in general. Then Michael Svilar, Global Accenture Data Science Group Lead, will identify the general trends in this sector. In this module, we will cover three different real-life examples. First, Rohit Banerji, Accenture business lead responsible for big data analytics for the resource sector, will present an example from a water utilities company. Second, Cian O’Hare, Managing Director at Accenture Digital, will present a case study from a global communication provider. Finally, Christopher Gray, public service expert at Accenture, will discuss challenges arising in the public sector where Analytics and Big Data can provide effective solutions. At the end of each example there will be quiz questions. Note that those questions may require you to collect additional information from that which was delivered during the videos. Do not hesitate to consult additional books, websites and examples about this topic: some of the answers can actually be found directly thanks to open access research engines or online encyclopedias! The objective with this final MOOC in the Strategic Business Analytics specialization is to assess whether you now master the different concepts that are implemented within this field.

Digital Transformation in the Media, the Financial Services and the Retail Sector

During this module, different real-life examples will be discussed. Christine Removille, Digital Marketing Lead at the European Level, will present a data-centric digital transformation at a French TV company: Canal +. Edwin Van der Ouderaa, Financial Services Lead, will then explain how digital developments and data are disrupting the financial service sector.At the end of each video there will be quiz questions. Do not hesitate to consult additional books, websites and examples about this topic! The objective with this final MOOC in the Strategic Business Analytics specialization is to assess whether you now master the different concepts that are implemented within this field.

Advanced Analytics in Healthcare and the Pharmaceutical industry / Wrap up and Introduction to capstone

During this module, two different real-life examples will be discussed. First, Paul Pierotti, Managing Director at Accenture Digital, will explain how Analytics can transform how health services are delivered. Second Xavier Cimino, Managing Director in charge of the Analytics Practice in the Life Science industry for Europe, will present an award-winning project in this sector. At the end of each video, there will be quiz questions. Do not hesitate to consult additional books, websites and examples about this topic! The objective with this final MOOC in the Strategic Business Analytics specialization is to assess whether you now master the different concepts that are implemented within this field.Finally, Michael Svilar, Global Accenture Data Science Group Lead, will conclude the MOOC.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Specifically gives learners a broad perspective on the applications of business analytics in different industries

Offers a rigorous curriculum that arms learners with confidence to propose innovative solutions and applications for the capstone project

Engages learners with real-life case studies from industry experts, allowing them to understand how business analytics transform various domains

Taught by industry leaders from Accenture, ensuring learners gain insights from experienced practitioners

Provides multiple quiz questions at the end of each example, encouraging learners to actively engage with the content

This course is designed for learners enrolled in the Strategic Business Analytics Specialization, preparing them for the capstone project

Reviews summary

Superficial business analytics

Learners say that this course is mostly promotional material and not worth the money or time. The case studies are said to be very surface-level, and the quizzes are not well-connected to the material.

The quizzes do not connect well to the material.

"The quizzes also don't connect to the material very well in most cases."

The case studies are very surface-level.

"The case studies are very surface-level, and no actual analytics is more than just mentioned."

"It's not that there's nothing to be gotten from it, but this really isn't designed for analysts."

This course is basically a series of promotional videos.

"Basically a series of promo videos, but you have to pay to watch them."

"You are unsure if you are watching promotional videos with quizzes for reinforcement or not."

"Ridiculously superficial."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Case studies in business analytics with ACCENTURE with these activities:

Review statistical concepts

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Refreshing your knowledge of statistical concepts will help you to better understand the statistical methods used in business analytics.

Browse courses on Statistics

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Review your notes from a previous statistics course.
Read a textbook or online resources on statistics.
Complete practice problems to test your understanding.

Complete the 'Introduction to Python for Data Science' tutorial on DataCamp

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This tutorial will give you a good foundation in Python, which you can use for data analysis and business analytics purposes.

Browse courses on Python

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Create an account on DataCamp and enroll in the 'Introduction to Python for Data Science' tutorial.
Complete the lessons and exercises in the tutorial.
Test your understanding by completing the quiz at the end of the tutorial.

Review 'Business Analytics for Managers' by James Taylor

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Reviewing this book will provide you with a comprehensive overview of business analytics concepts and techniques, helping you to understand the course material better.

View Research Methods for Sport Management... on Amazon

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Read the introduction and first three chapters of the book.
Summarize the key concepts covered in each chapter.
Identify examples from your own work experience or current events that illustrate the concepts.

Five other activities

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Solve LeetCode problems tagged with 'data structures''

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Solving LeetCode problems will help you to improve your problem-solving skills and your understanding of data structures, which are essential for business analytics.

Browse courses on Data Structures

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Identify LeetCode problems tagged with 'data structures'.
Solve the problems using any programming language you are comfortable with.
Review your solutions and identify areas for improvement.

Write a blog post summarizing the key trends in business analytics

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Writing a blog post will help you to synthesize your understanding of the course material and share your knowledge with others.

Browse courses on Business Analytics

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Research the latest trends in business analytics.
Outline the main points of your blog post.
Write and edit your blog post.

Attend a workshop on 'Big Data Analytics for Business'

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Attending a workshop will allow you to learn from experts in the field and network with other professionals.

Browse courses on Big Data

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Identify and register for a workshop on 'Big Data Analytics for Business'.
Attend the workshop and actively participate in the activities.
Follow up with the workshop organizers or other attendees to continue the discussion.

Develop a data-driven recommendation engine for a retail website

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Working on this project will allow you to apply the analytical techniques you learn in the course to a real-world problem.

Browse courses on Recommendation Systems

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Define the problem and gather data from the retail website.
Clean and preprocess the data.
Build and train a machine learning model to make recommendations.
Deploy the recommendation engine on the website.

Mentor a junior student in business analytics

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Mentoring a junior student will help you to reinforce your knowledge of business analytics while also helping others to succeed.

Browse courses on Mentoring

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Identify a junior student who is interested in business analytics.
Meet with the student regularly to provide guidance and support.
Help the student to develop their skills in business analytics.

Career center

Learners who complete Case studies in business analytics with ACCENTURE will develop knowledge and skills that may be useful to these careers:

Chief Data Officer

A Chief Data Officer is responsible for managing and analyzing data to improve an organization's decision-making. Business Analytics is fundamental to this role, providing the tools and techniques needed to collect, analyze, and interpret data.

See salaries and explore the career path for Chief Data Officer

Data Analyst

A Data Analyst collects, processes, and analyzes data to find trends and insights which can help inform business decisions. Business Analytics can also help Data Analysts find and interpret patterns in large datasets, allowing them to create more accurate predictions and models.

See salaries and explore the career path for Data Analyst

Chief Analytics Officer

A Chief Analytics Officer is responsible for developing and implementing an organization's analytics strategy. Business Analytics is fundamental to this role, providing the tools and techniques needed to collect, analyze, and interpret data.

See salaries and explore the career path for Chief Analytics Officer

Business Intelligence Analyst

A Business Intelligence Analyst collects and analyzes data to help businesses make better decisions. Business Analytics is crucial to this role as it provides the tools and techniques needed to collect, analyze, and interpret data.

See salaries and explore the career path for Business Intelligence Analyst

Data Scientist

A Data Scientist uses data to build models that can be used to solve business problems. Business Analytics can help Data Scientists better understand the meaning of a set of data and use it to make more effective predictions.

See salaries and explore the career path for Data Scientist

Business Analyst

A Business Analyst researches business processes to identify opportunities for improvement. Business Analytics can help improve profitability by increasing efficiency, optimizing resource usage, and driving growth in sales or revenue. Knowing Business Analytics can help you in this role to identify and prioritize profitable changes to a business.

See salaries and explore the career path for Business Analyst

Market Researcher

A Market Researcher conducts research to understand consumer behavior and market trends. Business Analytics can help Market Researchers analyze data to identify trends and opportunities in the market.

See salaries and explore the career path for Market Researcher

Operations Research Analyst

An Operations Research Analyst uses advanced analytical techniques to solve complex business problems. Business Analytics is a crucial component of Operations Research as it provides the tools and techniques needed to identify and evaluate potential solutions.

See salaries and explore the career path for Operations Research Analyst

Quantitative Analyst

A Quantitative Analyst uses mathematical and statistical models to analyze financial data. Business Analytics may be helpful for Quantitative Analysts to develop and validate financial models.

See salaries and explore the career path for Quantitative Analyst

Risk Analyst

A Risk Analyst identifies and assesses risks to an organization. Business Analytics may be helpful for Risk Analysts to quantify risks and develop mitigation plans.

See salaries and explore the career path for Risk Analyst

Financial Analyst

A Financial Analyst researches investments and provides advice to clients on how to manage their money. Business Analytics can be a key tool for Financial Analysts to help them understand the financial performance of a company and make better investment recommendations.

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Product Manager

A Product Manager is responsible for the development and marketing of a product. Knowledge of Business Analytics can be useful in this role for Product Managers to understand customer needs and make data-driven decisions about product development.

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Data Architect

A Data Architect designs and implements data systems. Business Analytics may be helpful for Data Architects to better understand the data needs of an organization and design systems to meet those needs.

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Data Engineer

A Data Engineer builds and maintains data infrastructure. Business Analytics may be helpful for Data Engineers to understand how data is used in an organization and design systems to support those needs.

See salaries and explore the career path for Data Engineer

Management Consultant

A Management Consultant helps organizations improve their performance. Knowledge of Business Analytics may be helpful for a Management Consultant, especially when making data-driven recommendations to improve a company's strategy.

See salaries and explore the career path for Management Consultant