Название: Data Strategy: From definition to execution
Автор: Ian Wallis
Издательство: BCS, The Chartered Institute for IT
Год: 2021
Страниц: 316
Язык: английский
Формат: epub
Размер: 10.1 MB

A well thought out, fit-for-purpose data strategy is vital to modern data-driven businesses. This book is your essential guide to planning, developing and implementing such a strategy, presenting a framework which takes you from data strategy definition to successful strategy delivery and execution with support and engagement from stakeholders. Key topics include data-driven business transformation, change enablers, benefits realisation and measurement.

The intention in writing this book was to transfer more than 30 years of experience gained in data and analytics into some practical use for those who are faced with one of the most challenging – but most rewarding, if you get it right! – tasks: defining and executing a data strategy successfully. It is based on the knowledge I have amassed of nearly 20 organisations across a dozen sectors, along with the workshops I have run on this topic. I have seen tremendous change in the scale, opportunity and professionalism of the data and analytics community. It is my goal to use my experience to my utmost to help ensure that the current and next generation of data and analytics leaders are as well informed as possible to enable them to succeed.

I have covered the significant breadth of activity that is required to enable a data strategy to move through an extensive effort from identification, into definition, through execution to releasing benefits to the organisation. There are many different ways to tackle an undertaking of the scale of defining and executing a data strategy, especially in some of the larger organisations. It is a process which I have distilled into ten phases, though it is highly iterative: so do not be concerned if you find yourself oscillating back and forth so long as there is a purpose in so doing. These phases are summarised in Chapter 12: five for definition (positioning; readiness and scope; definition; route map; content, structure and alignment) and five for execution (communication, culture and change readiness; mobilisation and planning; delivery; flexibility; demonstrating value).

I have sought to provide some useful reminders at the end of each chapter, primarily as something to reflect on rather than as a shortcut to the answer. Each chapter builds and takes you through the process from identifying the need for a data strategy to executing it in all its glory. My final chapter brings together some of those themes alongside some further observations.

About the Author:
Ian Wallis is a senior data and analytics leader, experienced programme manager and frequent conference speaker on data and analytics. He has delivered some of the largest data programmes in the UK.