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Author: Sid Adelman
Publisher: Addison-Wesley Professional
ISBN:
Category : Computers
Languages : en
Pages : 392
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Book Description
Without a data strategy, the people within an organization have no guidelines for making decisions that are absolutely crucial to the success of the IT organization and to the entire organization. The absence of a strategy gives a blank check to those who want to pursue their own agendas, including those who want to try new database management systems, new technologies (often unproven), and new tools. This type of environment provides no hope for success. Data Strategy should result in the development of systems with less risk, higher quality systems, and reusability of assets. This is key to keeping cost and maintenance down, thus running lean and mean. Data Strategy provides a CIO with a rationale to counter arguments for immature technology and data strategies that are inconsistent with existing strategies. This book uses case studies and best practices to give the reader the tools they need to create the best strategy for the organization.
Author: Sid Adelman
Publisher: Addison-Wesley Professional
ISBN:
Category : Computers
Languages : en
Pages : 392
Get Book
Book Description
Without a data strategy, the people within an organization have no guidelines for making decisions that are absolutely crucial to the success of the IT organization and to the entire organization. The absence of a strategy gives a blank check to those who want to pursue their own agendas, including those who want to try new database management systems, new technologies (often unproven), and new tools. This type of environment provides no hope for success. Data Strategy should result in the development of systems with less risk, higher quality systems, and reusability of assets. This is key to keeping cost and maintenance down, thus running lean and mean. Data Strategy provides a CIO with a rationale to counter arguments for immature technology and data strategies that are inconsistent with existing strategies. This book uses case studies and best practices to give the reader the tools they need to create the best strategy for the organization.
Author: Bernard Marr
Publisher: Kogan Page Publishers
ISBN: 0749479868
Category : Business & Economics
Languages : en
Pages : 201
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Book Description
BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology Category Less than 0.5 per cent of all data is currently analyzed and used. However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage. Packed with case studies and real-world examples, advice on how to build data competencies in an organization and crucial coverage of how to ensure your data doesn't become a liability, Data Strategy will equip any organization with the tools and strategies it needs to profit from Big Data, analytics and the Internet of Things (IoT).
Author: Marco Iansiti
Publisher: Harvard Business Press
ISBN: 1633697630
Category : Business & Economics
Languages : en
Pages : 175
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Book Description
"a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.
Author: Peta Marshall
Publisher:
ISBN: 9781087333243
Category :
Languages : en
Pages : 124
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Book Description
Artificial Intelligence and Big Data are shaping the world and every business must adopt a strategy and change the culture of their organisation to be able to survive and prosper. The Fourth Industrial Revolution is altering every facet of society and this book provides managers and professionals with the strategic skills to implement the changes required. Machines are increasingly being able to process information and perform actions that previously only humans could do. This revolution is taking place now and this book provides the information to guide future efforts. Information from this book comes from research and workshops with professionals and a template with suggestions is provided to allow the design and implementation of an AI and data strategy and culture in your organisation. This book is available at a bargain price to allow organisations across the globe to benefit from the revolution taking place.
Author: Katie King
Publisher: Kogan Page Publishers
ISBN: 1398602019
Category : Business & Economics
Languages : en
Pages : 289
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Book Description
Marketing and sales prioritize AI and machine learning more than any other business department, yet often struggle with how to scale and strategize the opportunities they present. AI Strategy for Sales and Marketing presents a framework for understanding how AI can boost customer-centricity and sales by creating a connected strategy that delivers value today and into the future. Supported by practical tips and advice throughout, it covers topics including personalization, upskilling, customer experience for both on and offline shopping channels and the importance of using AI responsibly to create consumer trust. Featuring original research and interviews with leading practitioners, it also contains global case studies from organizations in a range of sectors, including Samsung, PwC, Rolls Royce, Deloitte and Hilton, with insights into the various stages of their adoption journeys. Written by a recognized industry expert, it is an invaluable resource for those wanting to benefit from using AI strategically in marketing, sales and CX.
Author: Jeanne W. Ross
Publisher: MIT Press
ISBN: 0262542765
Category : Business & Economics
Languages : en
Pages : 205
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Book Description
One of Forbes's Top Ten Technology Books of the Year How to redesign ‘big, old’ companies for digital success—featuring a survey of 300+ business leaders and 30+ global organizations, including Amazon, Uber, LEGO, Toyota North America, Philips, and USAA. Most established companies have deployed such digital technologies as the cloud, mobile apps, the internet of things, and artificial intelligence. But few established companies are designed for digital. This book offers an essential guide for retooling organizations for digital success through 5 key building blocks: • Shared Customer Insights • Operational Backbone • Digital Platform • Accountability Framework • External Developer Platform In the digital economy, rapid pace of change in technology capabilities and customer desires means that business strategy must be fluid. As a result, business design has become a critical management responsibility. Effective business design enables a company to quickly pivot in response to new competitive threats and opportunities. Most leaders today, however, rely on organizational structure to implement strategy, unaware that structure inhibits, rather than enables, agility. In companies that are designed for digital, people, processes, data, and technology are synchronized to identify and deliver innovative customer solutions—and redefine strategy. Digital design, not strategy, is what separates winners from losers in the digital economy. Designed for Digital offers practical advice on digital transformation, with examples that include Amazon, BNY Mellon, DBS Bank, LEGO, Philips, Schneider Electric, USAA, and many other global organizations. Drawing on 5 years of research and in-depth case studies, the book is an essential guide for companies that want to disrupt rather than be disrupted in the new digital landscape.
Author: P. Mary Jeyanthi
Publisher: Springer Nature
ISBN: 3030827631
Category : Technology & Engineering
Languages : en
Pages : 236
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Book Description
This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player evaluation, game strategy, and training and performance. They also explore the way in which organizations can use analytics to drive additional revenue and operate more efficiently. The authors provide keys to building and organizing a decision intelligence analytics that delivers insights into all parts of an organization. The book examines the criteria and tools for evaluating and selecting decision intelligence analytics technologies and the applicability of strategies for fostering a culture that prioritizes data-driven decision making. Each chapter is carefully segmented to enable the reader to gain knowledge in business intelligence, decision making and artificial intelligence in a strategic management context.
Author: Bernard Marr
Publisher: Kogan Page Publishers
ISBN: 1398602590
Category : Business & Economics
Languages : en
Pages : 273
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Book Description
BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology Category (1st edition) Data is an integral strategic asset for all businesses. Learn how to leverage this data and generate valuable insights and true business value with bestselling author and data guru Bernard Marr. Data has massive potential for all businesses when used correctly, from small organizations to tech giants and huge multinationals, but this resource is too often not fully utilized. Data Strategy is the must-read guide on how to create a robust, data-driven approach that will harness the power of data to revolutionize your business. Explaining how to collect, use and manage data, this book prepares any organization with the tools and strategies needed to thrive in the digital economy. Now in its second edition, this bestselling title is fully updated with insights on understanding your customers and markets and how to provide them with intelligent services and products. With case studies and real-world examples throughout, Bernard Marr offers unrivalled expertise on how to gain the competitive advantage in a data-driven world.
Author: Will Thompson
Publisher: Wiley
ISBN: 9781119703181
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
Develop an AI strategy that works for your clients and customers with this essential resource What's Your AI Strategy? The Forbes Ignite Guide to Customer-Centric Artificial Intelligence cuts to the quick of crafting an AI strategy that adds value for your users and customers—and your bottom line. Written by renowned strategists and consultants Will Thompson, VP and Managing Director of Forbes Insights and publisher of Forbes AI, and Nicole Cacal, CEO of Forbes Ignite,this book provides straightforward frameworks that guide readers in the development and implementation of customer-centric artificial intelligence that yields end-to-end value. What’s Your AI Strategy? presents thinking and design tools that help decision-makers, data teams, and consultants: Plan and complete artificial intelligence projects that make sense for their business and customers Understand the math and technology you’ll need to know to effectively implement AI in their business Create a business and data plan that considers people, process, technology, capital, and strategy This book couples the proprietary AI Customer Experience Canvas that Thompson and Cacal have developed with original research from Forbes Insights and interviews with famous experts in the field of artificial intelligence. It is an invaluable resource for anyone in business or government who wishes to contribute to digital transformation within their organization in a way that benefits their constituents or clients. What's Your AI Strategy? The Forbes Ignite Guide to Customer-Centric Artificial Intelligence cuts to the quick of crafting an AI strategy that adds value for your users and customers—and your bottom line. Written by renowned strategists and consultants Will Thompson, VP and Managing Director of Forbes Insights and publisher of Forbes AI, and Nicole Cacal, CEO of Forbes Ignite,this book provides straightforward frameworks that guide readers in the development and implementation of customer-centric artificial intelligence that yields end-to-end value. What’s Your AI Strategy? presents thinking and design tools that help decision-makers, data teams, and consultants: · Plan and complete artificial intelligence projects that make sense for their business and customers · Understand the math and technology you’ll need to know to effectively implement AI in their business · Create a business and data plan that considers people, process, technology, capital, and strategy
Author: Ulrika Jägare
Publisher: John Wiley & Sons
ISBN: 1119566274
Category : Computers
Languages : en
Pages : 449
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Book Description
All the answers to your data science questions Over half of all businesses are using data science to generate insights and value from big data. How are they doing it? Data Science Strategy For Dummies answers all your questions about how to build a data science capability from scratch, starting with the “what” and the “why” of data science and covering what it takes to lead and nurture a top-notch team of data scientists. With this book, you’ll learn how to incorporate data science as a strategic function into any business, large or small. Find solutions to your real-life challenges as you uncover the stories and value hidden within data. Learn exactly what data science is and why it’s important Adopt a data-driven mindset as the foundation to success Understand the processes and common roadblocks behind data science Keep your data science program focused on generating business value Nurture a top-quality data science team In non-technical language, Data Science Strategy For Dummies outlines new perspectives and strategies to effectively lead analytics and data science functions to create real value.
