Data and Analytics Strategy for Business

Beschreibung

Design, implement and execute a data strategy that harnesses AI with this guide to driving innovation and creating value.
Data presents a tremendous opportunity for businesses to increase revenue, reduce costs, mitigate risks, and improve customer satisfaction. An effective data strategy leveraging AI allows businesses to take advantage of the data they have. Data and Analytics Strategy for Business is a practical guide for senior data leaders building a strategy for their organization. Starting with identifying the kind of data projects that reflect their company's goals and mission, it explains in detail how leaders can get buy-in for these projects from the rest of the organization. With emphasis on sourcing and identifying quality data, reporting and developing dashboards, using AI, understanding ethical considerations and better serving customers, this book provides the keys to using data to drive improved business results. Incorporating the latest developments in AI, this new edition of Data and Analytics Strategy for Business shows how leaders can use AI right away to get value from their existing strategy. It provides practical guidance and recommendations for implementing AI and machine learning to maximize performance. Filled with real-world examples from organizations including Tesco, Transport for London and Bupa, this book is a step-by-step guide to designing and implementing a results-driven data strategy.
Explains for senior leaders how to improve business performance through the use of data and AI
Uses the five "waves" of data maturity to show how businesses can take advantage of their data and build a data strategy
Demonstrates how to select the right data projects to maximize value with real-world examples from Tesco, Transport for London and Bupa
New to this edition: Incorporates the latest development AI that will impact the world of data and analytics and shows businesses how to implement AI effectively
Provides guidance on data ethics, data integrity, and data governance

Autor*in

Simon Asplen-Taylor
Simon Asplen-Taylor is the founder and CEO of DataTick, a leading data, analytics and AI consultancy and was the first Chief Data Officer in the UK. He previously served as Chief Data Officer for multiple FTSE firms including Bupa, UBS, Tesco and Regus and led some of the largest data led transformations in Europe. He is a Fellow of the Royal Statistical Society (RSS) and serves on the RSS's AI Taskforce. In 2023, he was named by CEO Magazine as Most Influential Data Analytics CEO. He is based in London, UK.

Themen in »Data and Analytics Strategy for Business«

data governance data quality automation data culture, AI machine learning data analytics data strategy data mining business strategy

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