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Data and analytics strategy for business : unlock data assets and increase innovation with a results-driven data strategy / Simon Asplen-Taylor.

By: Asplen-Taylor, Simon [author.]Material type: TextTextPublisher: London : KoganPage, 2022Description: 288 pagesISBN: 9781398606050 (pbk.) :Subject(s): Business enterprises -- Data processing | Technological innovations | Strategic planning -- Data processing | Business planning -- Data processing | Business and Management | Business & Management | Business strategy | Data analysis: general | Management decision making | Data miningDDC classification: 658.0557
Contents:
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 and analytics strategy;Chapter - 04: A team game;Section - TWO: Wave 1 - Aspire;Chapter - 05: A quick win;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: Data risk management and ethics;Section - PART FOUR: Wave 3 - Industrialize;Chapter - 12: Automation, automation, automation;Chapter - 13: Scaling up and scaling out;Chapter - 14: Optimizing;Section - PART FIVE: Wave 4 - Realize;Chapter - 15: The voice of the customer;Chapter - 16: Maximizing data science;Chapter - 17: Sharing data with suppliers and customers;Section - PART SIX: Wave 5 - Differentiate;Chapter - 18: From data-driven to AI-driven;Chapter - 19: Data products;Chapter - 20: Right leadership, right time;Chapter - 21: Epilogue - Data success
Summary: Design and implement a results-driven data strategy with this five-stage guide to leveraging existing business assets and creating value through data projects. 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.
Holdings
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Book Book Paul Hamlyn Library Paul Hamlyn Library Floor 3 658.0557 ASP (Browse shelf(Opens below)) Available 07074840
Book Book Paul Hamlyn Library Paul Hamlyn Library Floor 3 658.0557 ASP (Browse shelf(Opens below)) Available 07074859
Book Book Paul Hamlyn Library Paul Hamlyn Library Floor 3 658.0557 ASP (Browse shelf(Opens below)) Available 07075480
Book Book Paul Hamlyn Library Paul Hamlyn Library Floor 3 658.0557 ASP (Browse shelf(Opens below)) Available 07075499
Book Book Paul Hamlyn Library Paul Hamlyn Library Floor 3 658.0557 ASP (Browse shelf(Opens below)) Available 07075502
Book Book Paul Hamlyn Library Paul Hamlyn Library Floor 3 658.0557 ASP (Browse shelf(Opens below)) Available 07071620
Book Book Paul Hamlyn Library Paul Hamlyn Library Floor 3 658.0557 ASP (Browse shelf(Opens below)) Available 07071639
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Book Book Paul Hamlyn Library Paul Hamlyn Library Floor 3 658.0557 ASP (Browse shelf(Opens below)) Available 07072163
Book Book Paul Hamlyn Library Paul Hamlyn Library Floor 3 658.0557 ASP (Browse shelf(Opens below)) Issued 18/11/2024 07072171
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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 and analytics strategy;Chapter - 04: A team game;Section - TWO: Wave 1 - Aspire;Chapter - 05: A quick win;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: Data risk management and ethics;Section - PART FOUR: Wave 3 - Industrialize;Chapter - 12: Automation, automation, automation;Chapter - 13: Scaling up and scaling out;Chapter - 14: Optimizing;Section - PART FIVE: Wave 4 - Realize;Chapter - 15: The voice of the customer;Chapter - 16: Maximizing data science;Chapter - 17: Sharing data with suppliers and customers;Section - PART SIX: Wave 5 - Differentiate;Chapter - 18: From data-driven to AI-driven;Chapter - 19: Data products;Chapter - 20: Right leadership, right time;Chapter - 21: Epilogue - Data success

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

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