Ch 2: Elements of Data

About This Chapter

Assign this corporate training chapter to help your marketing employees strengthen their knowledge of the elements of data. Utilize this mobile-friendly resource for a multitude of training purposes, from workshops to onboarding and one-on-one training or refreshers.

Elements of Data - Chapter Summary

In this chapter, you'll find a collection of easy-to-follow lessons covering the elements of data that you can assign to employees. The lessons cover topics including the different types of data and the differences between them. These self-paced lessons and quizzes allow your team members to work at their own speed, go back and review any concepts that they need and then test themselves on what they've learned.

How It Helps

  • Simplifies training: This chapter on the elements of data works equally well whether you need to train a new employee or lead a company-wide meeting.
  • Offers concrete definitions: Employees can review the definitions of such important concepts as structured and unstructured data, smart data and data quality.
  • Provides strategies: After working through this chapter, your employees should have the resources they need to interpret marketing data and address quality issues in data warehouses.

Skills Covered

When your employees have completed this chapter, they should be able to:

  • Define the different types and sources of data
  • Interpret marketing data accurately
  • Explain the importance of data quality
  • Outline data quality issues in data warehouses
  • Differentiate between structured and unstructured data
  • Identify the uses for smart data

6 Lessons in Chapter 2: Elements of Data
Test your knowledge with a 30-question chapter practice test
What are Data? - Types, Sources & Definition

1. What are Data? - Types, Sources & Definition

In this lesson, learn what data are and compare different types. Understanding how to represent and organize data is a key element of using a computer.

How to Interpret Marketing Data

2. How to Interpret Marketing Data

Interpreting marketing data requires a clear focus on what you need or want to learn from that data, as well an objective eye. This lesson describes the types of data collection that are most common and the questions to consider when reviewing analyzed data.

What is Data Quality? - Definition & Importance

3. What is Data Quality? - Definition & Importance

Data Quality is an important area in today's world. It tells us how well we've accomplished something and whether we've done it the right way. In this lesson, we'll take a look at its various aspects, and uses.

Data Quality Issues in Data Warehouses

4. Data Quality Issues in Data Warehouses

In this lesson, we will be looking at what data, data quality and data warehousing is all about. We will also learn about how data quality issues affects in Data Warehouses.

Structured vs. Unstructured Data: Definition & Examples

5. Structured vs. Unstructured Data: Definition & Examples

In this lesson you will learn what structured and unstructured data are and how they are different. You will also see how both are used and see some examples of each type of data.

Smart Data: Definition & Uses

6. Smart Data: Definition & Uses

This lesson goes over something known as smart data. You'll learn what it is, how it contrasts with big data, its uses, and see an example of it in action.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
Not Taken
Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
Not Taken

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