Data Science and Analytics for SMEs

Consulting, Tools, Practical Use Cases

Afolabi Ibukun Tolulope author

Format:Paperback

Publisher:APress

Published:29th Sep '22

Should be back in stock very soon

Data Science and Analytics for SMEs cover

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.
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 

“By reading the book and working out the use case, subject matter experts will be able to get a coherent roadmap to the main techniques available for both descriptive and predictive data analytics, as well as be able to provide simple services related to their company data and future prospects.” (Rosario Uceda-Sosa, Computing Reviews, October 2, 2023)

ISBN: 9781484286692

Dimensions: unknown

Weight: unknown

335 pages

1st ed.