Data and Analytics Strategy for Business

Unlock Data Assets and Increase Innovation with a Results-Driven Data Strategy

Edition: 1 Date: 03/06/2022 Price: £24.99 ISBN Paperback: 9781398606050 ISBN Ebook: 9781398606067 Pages: 280 Format (mm): 234x156 Product Category: Supplementary Text/

Professional

Subject: Information, Knowledge

& Data Management

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

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 strategy 4 A team game

2 Wave 1 – Aspire

3 Quick wins 4 Repeat and learn

3 Wave 2 – Mature

4 Data governance 5 Data quality 6 A single customer view 7 Reports and dashboards 8 Risk management and ethics

4 Wave 3 – Industrialise

5 Automation, automation, automation 6 Scaling up 7 Optimising processes

5 Wave 4 – Realise

6 Using outside sources 7 Data analytics 8 Sharing data with clients and customers 9 AI and decision-making

6 Wave 5 – Differentiate

7 AI and innovation 8 Product development 9 An agile, learning organization