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Big Data for Better Performance

via Open2Study

Overview

In a digital world, data has gone ‘big’ – ushering in the age of the zettabyte. This course shows you how big data equals business opportunity. Find out what ‘big data’ means and where it comes from – including ordinary transactions and social interactions. See how smart businesses use data to target their offerings and get ahead of market trends. Consider how marketing data can be based on false assumptions such as the ‘last click myth’.

Consider the promises and threats of big data for organisations and individuals, such as the capacity of data to track a customer along the pathway to purchase; and the issues of democracy and privacy that arise when data is collected and used.

What will I learn?
  • Define big data and outline ways in which it is remapping the future of marketing:
    • Define the measurement units of big data
    • Recognise different types of data
    • Provide examples of where big data is created
  • Identify the basic attributes of big data:
    • Categorise data according to its level of refinement
    • Provide examples of data analytics that achieve refinement
    • Outline positive and negative social impacts of data proliferation
  • Outline business challenges and opportunities in managing and using big data:
    • Distinguish between brand-centric and customer-centric uses of data
    • Identify the key stakeholders within organisations in data management
    • Provide examples of targeted data acquisition for marketing benefit
  • Outline ways in which effective marketing can exploit big data
    • Define media attribution and outline its importance to marketing strategy
    • List some common tools in the marketing toolkit, and outline their purposes
  • Provide examples of marketing strategies that can capture trackable data in order to improve the quality of attribution.

This course requires approximately 2 - 4 hours of study per week, but can vary depending on the student. This includes watching videos, and taking quizzes and assessments.

If you pass this course you'll receive a Certificate of Achievement. While this certificate isn't a formal qualification or credit, you can use it to demonstrate your interest in learning about this area to potential employers or educational institutions.

Where could this lead me?

If you're wondering what your future could look like in this area, here are some potential careers you could head towards.

  • Business or Commercial analyst
  • Learning analyst
  • Analytics and Customer insights
  • Analytics consultant
  • Marketing & Analytics manager

Syllabus

MODULE 1: INTRODUCTION TO BIG DATA     MODULE 2: BIG DATA AND MARKETING     MODULE 3: PRINCIPLES OF MARKETING WITH BIG DATA     MODULE 4: BIG DATA AND PREDICTIVE MARKETING

Taught by

Bud Keegan

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Reviews

3.5 rating, based on 11 reviews

Start your review of Big Data for Better Performance

  • André Rozenbaum

    André Rozenbaum completed this course, spending 1 hours a week on it and found the course difficulty to be very easy.

    I thought I would really understand Big Data and how to work on it.

    If you're looking for a introductory course, this is a good choice. They will give you tons of examples of how big data can be used, but they won't teach you how to work on it.

    I can't say I was disappointed, but I wasn't happy neither.

    If you're looking for a real big data course you should go in the coursera website. You'll love it.

    The Data Scientist Toolboox - John Hopkins
    and another one from Duke Univeristy

    You will take 1hours per week to complete the course.
    The quizes are easy to complete as well
  • Anonymous

    Anonymous completed this course.

    The lectures are interesting with good examples of the companies using data to make decisions and improve businesses.
    However, the course doesn't teach how to approach the problem in hand. Although the subject is "data", you won't be looking even at the data sample. We learn better by doing and practicing, but this course is missing this important component.
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  • Sireesha completed this course.

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  • Shrikant Nimbalkar completed this course.

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