000			01912nam a22002057a 4500
005			20241121122854.0
008			241121b |||||||| |||| 00| 0 eng d
020			_a9781484299142
082			_a658.40301 _bTOL
100			_aTolulope, Afolabi Ibukun _918770
245			_aData science and analytics for SMEs: _bconsulting, tools, practical use cases
260			_bApress _aNew York _c2025
300			_axvii, 335 p.
365			_aINR _b999.00
520			_aMaster 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. (https://link.springer.com/book/10.1007/978-1-4842-8670-8)
650			_aData science
650			_aBusiness analytics
650			_aSmall and medium enterprises (SME) _918771
942			_cBK _2ddc
999			_c7895 _d7895