Learn the many secondary data sources available to you, including those known as “big data.”

This online Principles Express course introduces the many secondary data sources available to you. You will learn about the value and challenges you might encounter when linking primary and secondary data, and gain insights into the “big data” world in which businesses now operate.

Driven by the growth of big data, secondary data is getting increasing attention from the market research industry. This course will give you perspectives on how to stay at the forefront of that growth.

Snapshot

Format: Online

Hours: 12

Credits: 1.2 CEUs

When: Start anytime

Cost: $329 - $359

After completing this course, you should be able to:

  1. Discuss how the integration of technology into our daily lives is creating new opportunities for market researchers.
  2. Define secondary data as distinct from primary data.
  3. Describe the various types of data sources available to researchers including syndicated data, transaction data, social media data, and Internet of Things data, emphasizing the strengths and weaknesses of each.
  4. Describe the various components of the “big data” ecosystem, reinforcing that all data sources—primary and secondary—have compromises and the researcher’s responsibility to select the “best available data” given the business issue being studied.
  5. Identify some of the typical barriers a researcher encounters in gaining access and using secondary data.
  6. Discuss the related concepts of data governance, data curation, and data provenance and their importance in assessing the quality of secondary data.
  7. Discuss the value and the challenges that can be realized by linking primary and secondary data, including the role of data brokers.
  8. Discuss the ways in which traditional analytic techniques can be applied to secondary data.
  9. Describe what is meant by machine learning and its relevance when working with large secondary datasets.
  10. Discuss the challenges and emerging solutions that researchers face when dealing with unstructured data—text, photographs, video, etc.
  11. Discuss the challenges the researcher faces when using secondary data in a global context.
  12. Describe the ethical issues, especially related to privacy and confidentiality, when using secondary data.