Data and Analytics Strategy for Business

Unlock Data Assets and Increase Innovation with a ResultsDriven Data Strategy

New Title This book

• 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

Description

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 realworld examples and case studies, this book is a stage-by-stage guide to designing and implementing a results-driven data strategy.

Author Information

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. Edition: 1 Date: 03/06/2022 Price: £24.99 Paperback: 9781398606050 Ebook: 9781398606067 Pages: 328 Format (mm): 235x155 Product Category: Professional/ Academic Subject: Information, Knowledge & Data Management

Table of Contents

1 How data and analytics can help you grow your business

1 How can this book help you? 2 The business case for data 3 Your data and analytics strategy 4 A team game

2 Wave 1: Aspire

5 A quick win 6 Repeat and learn

3 Wave 2: Mature

7 Data governance 8 Data quality 9 A single customer view 10 Reports and dashboards 11 Data risk management and ethics

4 Wave 3: Industrialize

12 Automation, automation, automation 13 Scaling up and scaling out 14 Optimizing

5 Wave 4: Realize

15 The voice of the customer 16 Maximizing data science 17 Sharing data with suppliers and customers

6 Wave 5: Differentiate

18 From data-driven to AI-driven 19 Data products 20 Right leadership, right time 21 Epilogue: Data success