Название: Data Science and Analytics for SMEs: Consulting, Tools , Practical Use CasesАвтор: Afolabi Ibukun Tolulope
Издательство: Apress
Год: 2022
Страниц: 341
Язык: английский
Формат: pdf (true), epub
Размер: 10.6 MB, 23.3 MB
Master the tricks and techniques of business analytics consulting, specifically applicable to small-to-medium businesses (SMEs). Written to help you hone your business analytics skills, this book applies data science techniques to help solve problems and improve upon many aspects of a business' operations.
SMEs are looking for ways to use data science and analytics, and this need is becoming increasingly pressing with the ongoing digital revolution. The topics covered in the books will help to provide the knowledge leverage needed for implementing data science in small business. The demand of small business for data analytics are in conjunction with the growing number of freelance data science consulting opportunities; hence this book will provide insight on how to navigate this new terrain.
In simple terms, Data Science refers to the ability to take data, generate an understanding from the data, process the data, extract value from the data, visualize the data, and present it in such a way that decisions can be made from this presentation. Data science is described as the process of extracting knowledge from huge amounts of data. It is an intersection of Mathematics, Statistics, Visualization, and Artificial Intelligence. Artificial Intelligence (AI) is a superset of machine learning, which is a superset of Deep Learning (DL).
Clustering is an unsupervised machine learning approach that aims to segment data into similar groups of records to gain insight. Cluster analysis is a method that forms clusters of records by calculating the distance between these records. Clustering is applied in business2 in various ways which include categorizing clients based on demographic and transaction history information and then tailoring a marketing plan for each category. It can also be used to create segments for customers and give them identities called “personas” to help focus energy on sales. It is also used in market structure analysis to find groups of comparable products based on competitive similarity measurements.
This book uses a do-it-yourself approach to analytics and introduces tools that are easily available online and are non-programming based. Data science will allow SMEs to understand their customer loyalty, market segmentation, sales and revenue increase etc. more clearly. Data Science and Analytics for SMEs is particularly focused on small businesses and explores the analytics and data that can help them succeed further in their business.
What You'll Learn:
Create and measure the success of their analytics project
Start your business analytics consulting career
Use solutions taught in the book in practical uses cases and problems
Who This Book Is For:
Business analytics enthusiasts who are not particularly programming inclined, small business owners and data science consultants, data science and business students, and SME (small-to-medium enterprise) analysts
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