Descriptive Analytics Tools
Afolabi Ibukun Tolulope
Chapter Chapter 5 in Data Science and Analytics for SMEs, 2022, pp 83-111 from Springer
Abstract:
Abstract This chapter is focused on the mostly common descriptive analytics tools used in business generally and specifically in small businesses. The chapter will help to use descriptive analytics tools to understand your business and make recommendations that can improve your business profits. For small businesses, descriptive analytics helps SMEs to make sense of available data to monitor business indicators at a glance, help SME owners observe sales trends and patterns on an overall basis, and deep dive into product categories and customer groups. It also helps SMEs plan product strategy, pricing policies that will maximize their projected revenues and derive valuable insights for getting more customers.
Date: 2022
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4842-8670-8_5
Ordering information: This item can be ordered from
http://www.springer.com/9781484286708
DOI: 10.1007/978-1-4842-8670-8_5
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().