Big Data Demystified

Big Data Demystified

"This is the book we've been missing: big data explained without the complexity.

Author: David Stephenson

Publisher: FT Press

ISBN: 129221810X

Category:

Page: 240

View: 305

Big Data is a big topic, based on simple principles. Guided by leading expert in the field, David Stephenson, you will be amazed at how you can transform your company, and significantly improve KPIs across a broad range of business units and applications. Find out how an ecommerce company avoided two million product returns per year, how a newspaper saw triple-digit annual growth in digital subscriptions, how researchers in England learned to better detect pending cardiovascular problems, and how AI programs taught themselves to win games using techniques that even their human programmers didn't understand, all thanks to big data. Find out also how one company realized it could swap a million dollar hardware system with a twenty thousand dollar replacement. With simple and straightforward chapters that allow you to map examples onto your own business, Big Data Demystified will help you: · Know which data is most useful to collect now and why it's important to start collecting that data as soon as possible. · Understand big data and data science and how they can help you reach your business goals and gain competitive advantage. · Use big data to understand where you are now and how you can improve in the future. · Understand factors in choosing a big data system, including whether to go with cloud-based solutions. · Construct your big data team in a way that supports an effective strategy and helps make your business more data-driven. BIG DATA MAKES A BIG DIFFERENCE "Read this book! It is an essential guide to using data in a practical way that drives results." Ian McHenry, CEO Beyond Pricing "This is the book we've been missing: big data explained without the complexity." Marc Salomon, Professor in Decision Sciences and Dean at University of Amsterdam Business School "Big Data for the rest of us! I have never come across a book that is so full of practical advice, actionable examples and helpful explanations. Read this one book and start executing Big Data at your workplace tomorrow!" Tobias Wann CEO at @Leisure Group
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Disruptive Technology and Digital Transformation for Business and Government

Disruptive Technology and Digital Transformation for Business and Government

Big Data Demystified: How to use big data, data science and AI to make better business decisions and gain competitive advantage. Pearson. KEY TERMS AND DEFINITIONS Big Data: Big data refers to the very large and diverse sets of ...

Author: Sandhu, Kamaljeet

Publisher: IGI Global

ISBN: 9781799885856

Category: Business & Economics

Page: 410

View: 358

With the far-reaching global impact of the COVID-19 pandemic, the demand and the necessity for digital enterprise transformation have accelerated exponentially. Management and strategies for the adoption and wider usage of newer digital technologies for the transformation of an enterprise through digital tools such as real-time video communications have shown that people no longer need to be required to be physically present in the same place; rather, they can be geographically dispersed. Technologies such as artificial intelligence, cloud computing, digital banking, and cloud data have taken over tasks that were initially done by human hands and have increased both the automation and efficiency of tasks and the accessibility of information and services. Inclusion of all these newer technologies has shown the fast pace at which the digital enterprise transformation is rapidly evolving and how new ecosystems are reshaping the digital enterprise model. Disruptive Technology and Digital Transformation for Business and Government presents interesting research on digital enterprise transformation at different stages and across different settings within government and industry, along with key issues and deeper insights on the core problems and developing solutions and recommendations for digital enterprise transformation. The chapters examine the three core leaders of transformation: the people such as managers, employees, and customers; the digital technology such as artificial intelligence and robotics; and the digital enterprise, including the products and services being transformed. They unravel the underlying process for management and strategies to fully incorporate new digital tools and technologies across all aspects of an enterprise undergoing transformation. This book is ideally intended for managers, executives, IT consultants, business professionals, government officials, researchers, students, practitioners, stakeholders, academicians, and anyone else looking to learn about new developments in digital enterprise transformation of business systems from a global perspective.
Categories: Business & Economics

The Practical Guide to Digital Transformation

The Practical Guide to Digital Transformation

... Big Data Demystified: How to use big data, data science and AI to make better business decisions and gain competitive advantage, Pearson, Harlow 5 This is covered in great detail in Kelleher, JD and Tierney, B (2018) Data Science, ...

Author: Antonio Weiss

Publisher: Kogan Page Publishers

ISBN: 9781398603660

Category: Business & Economics

Page: 232

View: 743

Digital transformation is a vital practice for organizations trying to keep up with competitors, but with new digital approaches constantly promising to revolutionise the workplace it can feel impossible to keep up. Cut through the hype with this accessible guide to making end-to-end digital transformation happen. While technology offers the possibility for business improvement, successful digital transformation also requires an effective strategy, the right culture, change management, the ability to stimulate innovation and the knowledge of where to upskill and where to bring in new talent. The Practical Guide to Digital Transformation covers each of these factors and more by breaking the process down to 17 easy-to-follow and practical steps. Each chapter includes a case study of an organization getting it right, along with advice on putting the principle into action, key tips and tricks, and what you might say in your next meeting. This book also outlines how to start with the foundations of 'doing digital' and build from there, including data science, cyber security, workable technology, minimised stack duplication, data registers and good user experience. Quickly build confidence and make change happen with this actionable guide to the essentials of digital transformation.
Categories: Business & Economics

Malleable Digital and Posthuman

Malleable  Digital  and Posthuman

New Media & Society, 22(11), 2039–2057. Stephenson, D. (2018). Big data demystified: How to use big data, data science and AI to make better business decisions and gain competitive advantage. London: Pearson. St Pierre, E. A. (2019).

Author: Ignas Kalpokas

Publisher: Emerald Group Publishing

ISBN: 9781801176200

Category: Social Science

Page: 184

View: 832

This book proposes a posthumanist research methodology for future research in the areas of the economy, the human self, politics, and research ethics, providing a novel explanatory and methodological framework for studying today's world.
Categories: Social Science

Business Skills for Data Scientists

Business Skills for Data Scientists

Foundational skills related to Company, Colleagues, Storytelling, Expectations, Results and Careers--emphasizing how each topic relates to your unique position as an analytics professional.

Author: David Stephenson

Publisher:

ISBN: 1736183001

Category:

Page: 304

View: 329

Success as a Data Scientist requires more than simply mastering machine learning and programming. Softer skills, such as stakeholder management, data storytelling, project planning and organizational savvy, are critical for successfully delivering impactful results in data science.In his latest book, David Stephenson provides a practical and concise summary of the business skills most important for aspiring data scientists, combining industry best practices and published research with personal stories and case studies. Each of the twelve chapters covers a business skill within one of six areas-Company, Colleagues, Storytelling, Expectations, Results and Careers.In this book you'll learn to address challenges such as ?Choosing projects with the most business impact?Crafting and delivering clear presentations for non-technical audiences?Running data science projects involving high levels of uncertainty?Adjusting to the different types of stakeholders you'll typically work with?How unspoken cultural assumptions will impact your work?Navigating office politics and handling open conflict?Building your career as a data scientistDrawing on twenty years of industry experience, David Stephenson provides a unique perspective on the foundational business skills you'll need in order to deliver value and grow your career as a data scientist.
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