Data Strategy From Insight To Impact
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| Author | : Subbarao Pothineni |
| Publisher | : subbarao |
| Total Pages | : 97 |
| Release | : 2022-04-19 |
| Genre | : Computers |
| ISBN | : |
Data Strategy: From Insight to Impact" is a comprehensive guide to help businesses understand and develop a successful data strategy. Starting with a look at the evolution of data and its impact on the business world, this book covers all the key elements of a successful data strategy. From understanding data and analytics, developing a data strategy, and data collection and management, to data-driven decision-making, data-driven business transformation, and data governance and compliance.
| Author | : Bernard Marr |
| Publisher | : Kogan Page Publishers |
| Total Pages | : 201 |
| Release | : 2017-04-03 |
| Genre | : Business & Economics |
| ISBN | : 0749479868 |
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 | : Kristina Powers |
| Publisher | : Routledge |
| Total Pages | : 187 |
| Release | : 2019-10-16 |
| Genre | : Education |
| ISBN | : 042979441X |
This valuable resource helps institutional leaders understand and implement a data strategy at their college or university that maximizes benefits to all creators and users of data. Exploring key considerations necessary for coordination of fragmented resources and the development of an effective, cohesive data strategy, this book brings together professionals from different higher education experiences and perspectives, including academic, administration, institutional research, information technology, and student affairs. Focusing on critical elements of data strategy and governance, each chapter in Data Strategy in Colleges and Universities helps higher education leaders address a frustrating problem with much-needed solutions for fostering a collaborative, data-driven strategy.
| Author | : Vincenzo Morabito |
| Publisher | : Springer |
| Total Pages | : 202 |
| Release | : 2015-01-31 |
| Genre | : Business & Economics |
| ISBN | : 3319106651 |
This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and education and to Big Data-driven business models. The second part of the book addresses the impact of Big Data and analytics on management and organizations, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews real examples of Big Data and analytics innovation at the global level. The text is supported by informative illustrations and case studies, so that practitioners can use the book as a toolbox to improve understanding and exploit business opportunities related to Big Data and analytics.
| Author | : Brent Dykes |
| Publisher | : John Wiley & Sons |
| Total Pages | : 336 |
| Release | : 2019-12-10 |
| Genre | : Computers |
| ISBN | : 1119615720 |
Master the art and science of data storytelling—with frameworks and techniques to help you craft compelling stories with data. The ability to effectively communicate with data is no longer a luxury in today’s economy; it is a necessity. Transforming data into visual communication is only one part of the picture. It is equally important to engage your audience with a narrative—to tell a story with the numbers. Effective Data Storytelling will teach you the essential skills necessary to communicate your insights through persuasive and memorable data stories. Narratives are more powerful than raw statistics, more enduring than pretty charts. When done correctly, data stories can influence decisions and drive change. Most other books focus only on data visualization while neglecting the powerful narrative and psychological aspects of telling stories with data. Author Brent Dykes shows you how to take the three central elements of data storytelling—data, narrative, and visuals—and combine them for maximum effectiveness. Taking a comprehensive look at all the elements of data storytelling, this unique book will enable you to: Transform your insights and data visualizations into appealing, impactful data stories Learn the fundamental elements of a data story and key audience drivers Understand the differences between how the brain processes facts and narrative Structure your findings as a data narrative, using a four-step storyboarding process Incorporate the seven essential principles of better visual storytelling into your work Avoid common data storytelling mistakes by learning from historical and modern examples Effective Data Storytelling: How to Drive Change with Data, Narrative and Visuals is a must-have resource for anyone who communicates regularly with data, including business professionals, analysts, marketers, salespeople, financial managers, and educators.
| Author | : Larry Keeley |
| Publisher | : John Wiley & Sons |
| Total Pages | : 581 |
| Release | : 2013-07-15 |
| Genre | : Business & Economics |
| ISBN | : 1118571398 |
Innovation principles to bring about meaningful and sustainable growth in your organization Using a list of more than 2,000 successful innovations, including Cirque du Soleil, early IBM mainframes, the Ford Model-T, and many more, the authors applied a proprietary algorithm and determined ten meaningful groupings—the Ten Types of Innovation—that provided insight into innovation. The Ten Types of Innovation explores these insights to diagnose patterns of innovation within industries, to identify innovation opportunities, and to evaluate how firms are performing against competitors. The framework has proven to be one of the most enduring and useful ways to start thinking about transformation. Details how you can use these innovation principles to bring about meaningful—and sustainable—growth within your organization Author Larry Keeley is a world renowned speaker, innovation consultant, and president and co-founder of Doblin, the innovation practice of Monitor Group; BusinessWeek named Keeley one of seven Innovation Gurus who are changing the field The Ten Types of Innovation concept has influenced thousands of executives and companies around the world since its discovery in 1998. The Ten Types of Innovation is the first book explaining how to implement it.
| Author | : Nacho Bassino |
| Publisher | : |
| Total Pages | : 248 |
| Release | : 2021-03-29 |
| Genre | : |
| ISBN | : 9781736824719 |
How do you identify, select and define the right Product Strategy? How do you connect it to execution and align the entire company towards the same goals?Making great products is hard. Interdisciplinary teams must discover and deliver the right solutions to delight customers while creating a sustainable business model. But that is not enough to succeed. Product Leaders must play a critical role: they must identify the problems and opportunities most crucial to delight customers while creating a sustainable business. They must also align teams toward them. But how?How do you come up with the right insights and select the most promising opportunities?How does a successful product strategy look? Who has to define it?How do you focus product teams and the entire organization in the same direction?Product Direction is a practical approach to solve these problems, based on artifacts, tools, and best practices, to define, link, and communicate your product strategy, strategic roadmap, and objectives. These tools will help you:? Multiply your results, with increased team alignment and autonomy.? Align everyone on the right opportunities, and ignore other distractions.
| Author | : Colin Strong |
| Publisher | : Kogan Page Publishers |
| Total Pages | : 226 |
| Release | : 2015-03-03 |
| Genre | : Business & Economics |
| ISBN | : 074947212X |
Big data raises more questions than it answers, particularly for those organizations struggling to deal with what has become an overwhelming deluge of data. It can offer marketers more than simple tactical predictive analytics, but organizations need a bigger picture, one that generates some real insight into human behaviour, to drive consumer strategy rather than just better targeting techniques. Humanizing Big Data guides marketing managers, brand managers, strategists and senior executives on how to use big data strategically to redefine customer relationships for better customer engagement and an improved bottom line. Humanizing Big Data provides a detailed understanding of the way to approach and think about the challenges and opportunities of big data, enabling any brand to realize the value of their current and future data assets. First it explores the 'nuts and bolts' of data analytics and the way in which the current big data agenda is in danger of losing credibility by paying insufficient attention to what are often fundamental tenets in any form of analysis. Next it sets out a manifesto for a smart data approach, drawing on an intelligent and big picture view of data analytics that addresses the strategic business challenges that businesses face. Finally it explores the way in which datafication is changing the nature of the relationship between brands and consumers and why this calls for new forms of analytics to support rapidly emerging new business models. After reading this book, any brand should be in a position to make a step change in the value they derive from their data assets.
| Author | : Uma Gupta |
| Publisher | : Emerald Group Publishing |
| Total Pages | : 248 |
| Release | : 2020-07-08 |
| Genre | : Business & Economics |
| ISBN | : 178973567X |
Data governance looks simple on paper, but in reality it is a complex issue facing organizations. In this practical guide, data experts Uma Gupta and San Cannon look to demystify data governance through pragmatic advice based on real-world experience and cutting-edge academic research.
| Author | : Bill Schmarzo |
| Publisher | : John Wiley & Sons |
| Total Pages | : 245 |
| Release | : 2013-09-23 |
| Genre | : Business & Economics |
| ISBN | : 1118740009 |
Leverage big data to add value to your business Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment. The tricky part for busy IT professionals and executives is how to get this done, and that's where this practical book comes in. Big Data: Understanding How Data Powers Big Business is a complete how-to guide to leveraging big data to drive business value. Full of practical techniques, real-world examples, and hands-on exercises, this book explores the technologies involved, as well as how to find areas of the organization that can take full advantage of big data. Shows how to decompose current business strategies in order to link big data initiatives to the organization’s value creation processes Explores different value creation processes and models Explains issues surrounding operationalizing big data, including organizational structures, education challenges, and new big data-related roles Provides methodology worksheets and exercises so readers can apply techniques Includes real-world examples from a variety of organizations leveraging big data Big Data: Understanding How Data Powers Big Business is written by one of Big Data's preeminent experts, William Schmarzo. Don't miss his invaluable insights and advice.
