Data Alchemy: The Genesis of Business Value

Data Alchemy: The Genesis of Business Value by DOUG BROWN


Authors
DOUG BROWN
ISBN
9781912555833
Published
Binding
Hardcover
Dimensions
156 x 234mm

Beginning with the key challenges that enterprises face in generating value from data, this practical and provocative book systematically outlines practical processes, frameworks and data science and artificial intelligence toolkits to enable businesses to achieve better business outcomes.   Written by two leading practitioners, this playbook explores the relationship between data, customer experience and business value. The book features illustrative examples and open source codes to enhance your business knowledge and provide the necessary actions relevant to any industry, and can be successfully deployed by business executives, data science innovators and practitioners. Referencing multi-cloud Agile DevOPs, Data Science and AI, the book addresses issues from defining and sizing projects to continuous development, continuous integration and continuous deployment. It breaks down the value journey into easy to understand steps that all businesses will find engaging and invaluable in their data-driven transformation.  AUTHORS: Doug Brown is Chief Data Scientist at Capita and has worked for companies such as E&Y, IBM, PwC, Zurich Financial Services and more. Resides in the UK.  Tirath Virdee is Director of AI at Capita and a member of the Parliamentary Groups on AI and Blockchain. Resides in the UK. SELLING POINTS: . How companies can benefit from the data and AI revolution in business today  . Written by two leading data and business experts . Data and AI illustrations, diagrams and toolkits that help to achieve better business outcomes . This book helps businesses, CEOs and organisations restrategise their projects and structural adjust the development of data transformations . A strong business and data-driven book. Covering multiple software applications, and the most applicable ones to implement correctly within your business
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