Data presents a tremendous opportunity for businesses to increase revenue, reduce costs, mitigate risks, and improve customer satisfaction. An effective data strategy leveraging AI allows businesses to take advantage of the data they have. Data and Analytics Strategy for Business is a practical guide for senior data leaders building a strategy for their organization. Starting with identifying the kind of data projects that reflect their company's goals and mission, it explains in detail how leaders can get buy-in for these projects from the rest of the organization. With emphasis on sourcing and identifying quality data, reporting and developing dashboards, using AI, understanding ethical considerations and better serving customers, this book provides the keys to using data to drive improved business results. Incorporating the latest developments in AI, this new edition of Data and Analytics Strategy for Business shows how leaders can use AI right away to get value from their existing strategy. It provides practical guidance and recommendations for implementing AI and machine learning to maximize performance. Filled with real-world examples from organizations including Tesco, Transport for London and Bupa, this book is a step-by-step guide to designing and implementing a results-driven data strategy.
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Simon Asplen-Taylor is the founder and CEO of DataTick, a leading data, analytics and AI consultancy and was the first Chief Data Officer in the UK. He previously served as Chief Data Officer for multiple FTSE firms including Bupa, UBS, Tesco and Regus and led some of the largest data led transformations in Europe. He is a Fellow of the Royal Statistical Society (RSS) and serves on the RSS's AI Taskforce. In 2023, he was named by CEO Magazine as Most Influential Data Analytics CEO. He is based in London, UK.
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Paperback. Zustand: New. Struggling to convert your data, analytics and AI strategy into business value? Data and Analytics Strategy for Business by Simon Asplen-Taylor is an essential guide for CDOs, CAIOs, CIOs and CTOs seeking to deliver measurable results from data investments. Focused on aligning data, analytics and AI with strategic goals, this book helps leaders move from initial implementation to transformation.Fully updated with the latest AI developments, it provides practical tools and real-world insights to accelerate implementation, drive adoption and optimize performance across the organization. You'll learn how to: - Align data, analytics and AI to strategic business outcomes - Build trust through data quality, governance and transparency - Integrate AI and ML Secure executive and organizational buy-in for long-term success - Learn from real-world examples including Tesco and Facebook With guidance grounded in real results, Data and Analytics Strategy for Business helps senior leaders lead smarter, execute faster and unlock enterprise-wide impact.Themes include: data strategy, AI adoption, analytics leadership, digital transformation, data governance, performance optimization. Artikel-Nr. LU-9781398622012
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