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Advanced Descriptive Analytics

In: Data Science and Analytics for SMEs

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  • Afolabi Ibukun Tolulope

Abstract

This chapter is focused mainly on advanced descriptive analytics techniques. In this chapter, we will first explain the concept of clustering which is a type of unsupervised learning approach. We will then pick one clustering technique which is the k-means clustering. Using the fourth practical business problem, we will explain how we can use the k-means clustering technique to solve a real business problem. Next, we will explain the association rule example and finally network analysis. We will focus the explanation of these techniques on solving business-related problems, particularly for small businesses, and conclude with the fifth business problem which is focused on using network analytics for employee efficiency.

Suggested Citation

  • Afolabi Ibukun Tolulope, 2022. "Advanced Descriptive Analytics," Springer Books, in: Data Science and Analytics for SMEs, chapter 0, pages 199-263, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4842-8670-8_8
    DOI: 10.1007/978-1-4842-8670-8_8
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