★Design and implement a results-driven data strategy with this five-stage guide to leveraging existing business assets and creating value through data projects.

★Follows the five 'waves' of data maturity businesses must pass through to implement a data-driven strategy which leverages existing assets

★Explains how to choose projects which reflect organizational goals and get started with some quick wins

★Outlines how to improve business performance and optimise processes through automation

★Explores how investing in AI, machine learning and data science can help
businesses become leading innovators prepared for change

★Offers guidance on rigorous data governance and the importance of data quality in building trust

For many organizations data is a by-product, but for the smarter ones it is the heartbeat of their business. Most businesses have a wealth of data buried in their systems which, if used effectively, could increase revenue, reduce costs and risk and improve customer satisfaction and employee experience.

Beginning with how to choose projects which reflect your organization's goals and how to make the business case for investing in data, this book then takes the reader through the five 'waves' of organizational data maturity. It takes the reader from getting started on the data journey with some quick wins, to how data can help your business become a leading innovator which systematically outperforms competitors.

Data and Analytics Strategy for Business outlines how to build consistent, high-quality sources of data which will create business value and explores how automation, AI and machine learning can improve performance and decision making. Filled with real-world examples and case studies, this book is a stage-by-stage guide to designing and implementing a results-driven data strategy.

Simon Asplen-Taylor
Simon Asplen-Taylor is an experienced and successful data and analytics leader based in London, UK, having served as Chief Data Officer for multiple FTSE firms and led some of the largest data led transformations in Europe. He specialises in transforming business through the use of data, analytics and artificial intelligence and is currently leading the data transformation at Lloyd's of London. He was included in the dataIQ 100 Most Influential People in Data in both 2020 and 2021.

Section - ONE: How data and analytics can help you grow your business;
Chapter - 01: How can this book help you?
Chapter - 02: The business case for data
Chapter - 03: Your data strategy
Chapter - 04: A team game

Section - TWO: Wave 1 – Aspire
Chapter - 05: Quick wins
Chapter - 06: Repeat and learn

Section - THREE: Wave 2 – Mature
Chapter - 07: Data governance
Chapter - 08: Data quality
Chapter - 09: A single customer view
Chapter - 10: Reports and dashboards
Chapter - 11: Risk management and ethics

Section - FOUR: Wave 3 – Industrialise
Chapter - 12: Automation, automation, automation
Chapter - 13: Scaling up
Chapter - 14: Optimising processes

Section - FIVE: Wave 4 – Realise
Chapter - 15: Using outside sources
Chapter - 16: Data analytics
Chapter - 17: Sharing data with clients and customers
Chapter - 18: AI and decision-making

Section - SIX: Wave 5 – Differentiate
Chapter - 19: AI and innovation
Chapter - 20: Product development
Chapter - 21: An agile, learning organization