Data Monetization

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Monetizing Your Data

Author : Andrew Roman Wells
Publisher : John Wiley & Sons
ISBN 13 : 1119356245
Total Pages : 371 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis Monetizing Your Data by : Andrew Roman Wells

Download or read book Monetizing Your Data written by Andrew Roman Wells and published by John Wiley & Sons. This book was released on 2017-03-13 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transforming data into revenue generating strategies and actions Organizations are swamped with data—collected from web traffic, point of sale systems, enterprise resource planning systems, and more, but what to do with it? Monetizing your Data provides a framework and path for business managers to convert ever-increasing volumes of data into revenue generating actions through three disciplines: decision architecture, data science, and guided analytics. There are large gaps between understanding a business problem and knowing which data is relevant to the problem and how to leverage that data to drive significant financial performance. Using a proven methodology developed in the field through delivering meaningful solutions to Fortune 500 companies, this book gives you the analytical tools, methods, and techniques to transform data you already have into information into insights that drive winning decisions. Beginning with an explanation of the analytical cycle, this book guides you through the process of developing value generating strategies that can translate into big returns. The companion website, www.monetizingyourdata.com, provides templates, checklists, and examples to help you apply the methodology in your environment, and the expert author team provides authoritative guidance every step of the way. This book shows you how to use your data to: Monetize your data to drive revenue and cut costs Connect your data to decisions that drive action and deliver value Develop analytic tools to guide managers up and down the ladder to better decisions Turning data into action is key; data can be a valuable competitive advantage, but only if you understand how to organize it, structure it, and uncover the actionable information hidden within it through decision architecture and guided analytics. From multinational corporations to single-owner small businesses, companies of every size and structure stand to benefit from these tools, methods, and techniques; Monetizing your Data walks you through the translation and transformation to help you leverage your data into value creating strategies.

Infonomics

Author : Douglas B. Laney
Publisher : Routledge
ISBN 13 : 1351610694
Total Pages : 326 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Infonomics by : Douglas B. Laney

Download or read book Infonomics written by Douglas B. Laney and published by Routledge. This book was released on 2017-09-05 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many senior executives talk about information as one of their most important assets, but few behave as if it is. They report to the board on the health of their workforce, their financials, their customers, and their partnerships, but rarely the health of their information assets. Corporations typically exhibit greater discipline in tracking and accounting for their office furniture than their data. Infonomics is the theory, study, and discipline of asserting economic significance to information. It strives to apply both economic and asset management principles and practices to the valuation, handling, and deployment of information assets. This book specifically shows: CEOs and business leaders how to more fully wield information as a corporate asset CIOs how to improve the flow and accessibility of information CFOs how to help their organizations measure the actual and latent value in their information assets. More directly, this book is for the burgeoning force of chief data officers (CDOs) and other information and analytics leaders in their valiant struggle to help their organizations become more infosavvy. Author Douglas Laney has spent years researching and developing Infonomics and advising organizations on the infinite opportunities to monetize, manage, and measure information. This book delivers a set of new ideas, frameworks, evidence, and even approaches adapted from other disciplines on how to administer, wield, and understand the value of information. Infonomics can help organizations not only to better develop, sell, and market their offerings, but to transform their organizations altogether. "Doug Laney masterfully weaves together a collection of great examples with a solid framework to guide readers on how to gain competitive advantage through what he labels "the unruly asset" – data. The framework is comprehensive, the advice practical and the success stories global and across industries and applications." Liz Rowe, Chief Data Officer, State of New Jersey "A must read for anybody who wants to survive in a data centric world." Shaun Adams, Head of Data Science, Betterbathrooms.com "Phenomenal! An absolute must read for data practitioners, business leaders and technology strategists. Doug's lucid style has a set a new standard in providing intelligible material in the field of information economics. His passion and knowledge on the subject exudes thru his literature and inspires individuals like me." Ruchi Rajasekhar, Principal Data Architect, MISO Energy "I highly recommend Infonomics to all aspiring analytics leaders. Doug Laney’s work gives readers a deeper understanding of how and why information should be monetized and managed as an enterprise asset. Laney’s assertion that accounting should recognize information as a capital asset is quite convincing and one I agree with. Infonomics enjoyably echoes that sentiment!" Matt Green, independent business analytics consultant, Atlanta area "If you care about the digital economy, and you should, read this book." Tanya Shuckhart, Analyst Relations Lead, IRI Worldwide

The Monetization of Technical Data

Author : Daniel Trauth
Publisher : Springer Nature
ISBN 13 : 3662665093
Total Pages : 659 pages
Book Rating : 4.6/5 (626 download)

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Book Synopsis The Monetization of Technical Data by : Daniel Trauth

Download or read book The Monetization of Technical Data written by Daniel Trauth and published by Springer Nature. This book was released on 2023-01-01 with total page 659 pages. Available in PDF, EPUB and Kindle. Book excerpt: The monetization of data is a very young topic, for which there are only very few case studies. There is a lack of strategy or concept that shows decision-makers the way into the monetization of data, especially those who have discovered or are threatened by the digital transformation or Industry 4.0. Because machine data is usually unstructured and not usable without domain knowledge/metadata, the monetization of machine data has an as yet unquantifiable potential. In order to make this potential tangible, this work describes not only contributions from science, but also practical examples from industry. Based on different examples from various industries, the reader can already become part of a future data economy today. Values and benefits are described in detail. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.

Monetizing Data

Author : Stephan Liozu
Publisher : Ulaga & Associés
ISBN 13 : 1945815051
Total Pages : 259 pages
Book Rating : 4.9/5 (458 download)

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Book Synopsis Monetizing Data by : Stephan Liozu

Download or read book Monetizing Data written by Stephan Liozu and published by Ulaga & Associés. This book was released on 2018-10-30 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Digital revolution promises trillions of dollars in created value by 2030. Consultants and researchers are projecting massive and disruptive disruption in entire industrial sectors. As a results, PwC reports in their DigitalIQ report that 73% of executives say that they are investing in internet of things (IoT) and 54% in artificial intelligence. So we are experiencing a deluge of digital investments, programs, and large-scale transformations. Despite this tsunami of activities, many IoT Initiatives stall in the Proof of Concept phase and few are already considered a success. Recently, Siemens revealed that less than a fifth (18%) of surveyed companies analyze more than 60% of production data they collect. In a similar vein, Simon-Kucher & Partners (SKP) reports that 3 out of 4 firms that invested in digitalization in the past 3 years fail in their efforts due to the lack of monetization strategies, the focus on the wrong priorities, the lack of customer intimacy, and the neglect of digital pricing best practices. In fact, only 18% of these firms are true digital heroes. Despite the high level of interest and investments, the reality is that most companies are just getting started. The digital champions are not yet reaping the fruit of their investments. Most companies tend to struggle with the process of designing digital business models, with the development of truly differentiated offers, and with the monetization and pricing of their data-based offers. This book focuses on the topics of data monetization and of the value-based pricing of data-driven offers. The authors introduces a newly-developed practical data monetization roadmap that can be used by digital project teams, incubators, and digital factories to better frame their offers and to apply the principles of value-based pricing. They present options in digital pricing models and practical guidelines on how to deploy them. Readers will learn: The various monetization and value creation models for data-enabled offers The 8 steps of the data monetization framework The best practices in designing differentiated data-enabled offers The value-based pricing of data and options in digital pricing models Business model implications of switching from ownership to consumption model

Data Is Everybody's Business

Author : Barbara H. Wixom
Publisher : MIT Press
ISBN 13 : 0262375354
Total Pages : 202 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Data Is Everybody's Business by : Barbara H. Wixom

Download or read book Data Is Everybody's Business written by Barbara H. Wixom and published by MIT Press. This book was released on 2023-09-26 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: A clear, engaging, evidence-based guide to monetizing data, for everyone from employee to board member. Most organizations view data monetization—converting data into money—too narrowly: as merely selling data sets. But data monetization is a core business activity for both commercial and noncommercial organizations, and, within organizations, it’s critical to have wide-ranging support for this pursuit. In Data Is Everybody’s Business, the authors offer a clear and engaging way for people across the entire organization to understand data monetization and make it happen. The authors identify three viable ways to convert data into money—improving work with data, wrapping products with data, and selling information offerings—and explain when to pursue each and how to succeed. Key features of the book: • Grounded in twenty-eight years of academic research, including nine years of research at the MIT Sloan Center for Information Systems Research (MIT CISR) • Definitions of key terms, self-reflection questions, appealing graphics, and easy-to-use frameworks • Rich with detailed case studies • Supplemented by free MIT CISR website resources (cisr.mit.edu) Ideal for organizations engaged in data literacy training, data-driven transformation, or digital transformation, Data Is Everybody’s Business is the essential guide for helping everybody in the organization—not just the data specialists—understand, get excited about, and participate in data monetization.

Monetizing Data Management

Author : Peter Aiken, Juanita Billings
Publisher :
ISBN 13 : 9781634620390
Total Pages : 0 pages
Book Rating : 4.6/5 (23 download)

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Book Synopsis Monetizing Data Management by : Peter Aiken, Juanita Billings

Download or read book Monetizing Data Management written by Peter Aiken, Juanita Billings and published by . This book was released on 2013-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: What’s the Return on Investment (ROI) on data management? Sound like an impossible question to answer? Not if you read this book and learn the value-added approach to managing enterprise resources and assets. This book defines the five interrelated best practices that comprise data management, and shows you how by example to successfully communicate data management ROI to senior management. The 17 cases we share will help you to identify opportunities to introduce data management into the strategic conversations that occur in the C-suite. You will gain a new perspective regarding the stewardship of your data assets and insulate your operations from the chaos, losses and risks that result from traditional approaches to technological projects. And you will learn how to protect yourself from legal challenges resulting from outsourced information technology projects gone badly due to incorrect project sequencing and focus. With the emerging acceptance and adoption of revised performance standards, your organization will be better prepared to face the coming big data deluge! The book contains four chapters: • Chapter 1 gives a somewhat unique perspective to the practice of leveraging data. We describe the motivations and delineate the specific challenges preventing most organizations from making substantial progress in this area. • Chapter 2 presents 11 cases where leveraging data has produced positive financial results that can be presented in language of immediate interest to C-level executives. To the degree possible, we have quantified the effect that data management has had in terms that will be meaningful to them also. • Chapter 3 describes five instances taken from the authors' experiences with various governmental defense departments. The lessons in this section however can be equally applied to many non-profit and non-defense governmental organizations. • Chapter 4 speaks specifically to the interaction of data management practices, in terms of both information technology projects and legal responsibilities. Reading it can help your organization avoid a number of perils, stay out of court and better vet contractors, experts and other helpers who play a role in organization information technology development. From John Bottega Foreword: Data is the new currency. Yes, an expression that is being used quite a bit of late, but it is very relevant in discussing the importance of data and the methodologies by which we manage it. And like any currency, how we manage it determines its true value. Like any currency, it can be managed wisely, or it can be managed foolishly. It can be put to good use, or it can be squandered away. The question is – what factors determine the path that we take? How do we properly manage this asset and realize its full value and potential? In Monetizing Data Management, Peter and Juanita explore the question of how to understand and place tangible value on data and data management. They explore this question through a series of examples and real-world use cases to exemplify how the true value of data can be realized. They show how bringing together business and technology, and applying a data-centric forensic approach can turn massive amounts of data into the tools needed to improve business processes, reduce costs, and better serve the customer. Data monetization is not about turning data into money. Instead, it’s about taking information and turning it into opportunity. It’s about the need to understand the real meaning of data in order to extract value from it. And it’s about achieving this objective through a partnership with business and technology. In Monetizing Data Management, the authors demonstrate how true value can be realized from our data through improved data centric approaches.

From Data To Profit

Author : Vin Vashishta
Publisher : John Wiley & Sons
ISBN 13 : 1394196237
Total Pages : 240 pages
Book Rating : 4.3/5 (941 download)

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Book Synopsis From Data To Profit by : Vin Vashishta

Download or read book From Data To Profit written by Vin Vashishta and published by John Wiley & Sons. This book was released on 2023-05-31 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transform your company’s AI and data frameworks to unlock the true power of disruptive new tech In From Data to Profit: How Businesses Leverage Data to Grow Their Top and Bottom Lines, accomplished entrepreneur and AI strategist Vineet Vashishta delivers an engaging and insightful new take on making the most of data, artificial intelligence, and technology at your company. You’ll learn to change the culture, strategy, structure, and operational framework of your company to take full advantage of disruptive advances in tech. The author explores fascinating work being undertaken by firms in the real world, as well as high-value use cases and innovative projects and products made possible by realigning organizational frameworks using the capabilities of new technologies. He explains how to get everyone in your company on the same page, following a single framework, in a way that ensures individual departments get what they want and need. You’ll learn to outline a comprehensive technical vision and purpose that respects departmental autonomy over their core competencies while guaranteeing that they all get the tools they need to make technology their partner. You’ll also discover why firms that have adopted a holistic strategy toward AI and data have enjoyed results far beyond those experienced by those that have taken a piecemeal approach. From Data to Profit demonstrates the proper role of the CEO during an intensive transformation: one of maintaining culture during the change. It offers advice for organizational change, including the 3-Phase Data Organizational Development Framework, the Core - Rim 3 Main People Groups Framework, and the way to implement new roles for a Chief Digital Officer and Technical Strategist. Perfect for data professionals, data organizational leaders, and data product and process owners, From Data to Profit will also benefit executives, managers, and other business leaders seeking hands-on advice for digital transformation at their firms.

Research Anthology on Big Data Analytics, Architectures, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1668436639
Total Pages : 1988 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Research Anthology on Big Data Analytics, Architectures, and Applications by : Management Association, Information Resources

Download or read book Research Anthology on Big Data Analytics, Architectures, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-09-24 with total page 1988 pages. Available in PDF, EPUB and Kindle. Book excerpt: Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.

Data Is Everybody's Business

Author : Barbara H. Wixom
Publisher : MIT Press
ISBN 13 : 0262048213
Total Pages : 202 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Data Is Everybody's Business by : Barbara H. Wixom

Big Data Analytics Techniques for Market Intelligence

Author : Darwish, Dina
Publisher : IGI Global
ISBN 13 :
Total Pages : 536 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Big Data Analytics Techniques for Market Intelligence by : Darwish, Dina

Download or read book Big Data Analytics Techniques for Market Intelligence written by Darwish, Dina and published by IGI Global. This book was released on 2024-01-04 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ever-expanding realm of Big Data poses a formidable challenge for academic scholars and professionals due to the sheer magnitude and diversity of data types, along with the continuous influx of information from various sources. Extracting valuable insights from this vast and complex dataset is crucial for organizations to uncover market intelligence and make informed decisions. However, without the proper guidance and understanding of Big Data analytics techniques and methodologies, scholars may struggle to navigate this landscape and maximize the potential benefits of their research. In response to this pressing need, Professor Dina Darwish presents Big Data Analytics Techniques for Market Intelligence, a groundbreaking book that addresses the specific challenges faced by scholars and professionals in the field. Through a comprehensive exploration of various techniques and methodologies, this book offers a solution to the hurdles encountered in extracting meaningful information from Big Data. Covering the entire lifecycle of Big Data analytics, including preprocessing, analysis, visualization, and utilization of results, the book equips readers with the knowledge and tools necessary to unlock the power of Big Data and generate valuable market intelligence. With real-world case studies and a focus on practical guidance, scholars and professionals can effectively leverage Big Data analytics to drive strategic decision-making and stay at the forefront of this rapidly evolving field.

Data Science Strategy For Dummies

Author : Ulrika Jägare
Publisher : John Wiley & Sons
ISBN 13 : 1119566258
Total Pages : 352 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Data Science Strategy For Dummies by : Ulrika Jägare

Download or read book Data Science Strategy For Dummies written by Ulrika Jägare and published by John Wiley & Sons. This book was released on 2019-07-11 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Monetization

Author : Gerard Blokdyk
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781978302747
Total Pages : 120 pages
Book Rating : 4.3/5 (27 download)

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Book Synopsis Data Monetization by : Gerard Blokdyk

Download or read book Data Monetization written by Gerard Blokdyk and published by Createspace Independent Publishing Platform. This book was released on 2017-10-15 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: This powerful Data Monetization self-assessment will make you the dependable Data Monetization domain leader by revealing just what you need to know to be fluent and ready for any Data Monetization challenge. How do I reduce the effort in the Data Monetization work to be done to get problems solved? How can I ensure that plans of action include every Data Monetization task and that every Data Monetization outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Monetization opportunity costs are low? How can I deliver tailored Data Monetization advise instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data Monetization essentials are covered, from every angle: the Data Monetization self-assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that Data Monetization outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Monetization practitioners. Their mastery, combined with the uncommon elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data Monetization are maximized with professional results. Your purchase includes access to the $249 value Data Monetization self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.

Data Science For Dummies

Author : Lillian Pierson
Publisher : John Wiley & Sons
ISBN 13 : 1119811619
Total Pages : 436 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Data Science For Dummies by : Lillian Pierson

Download or read book Data Science For Dummies written by Lillian Pierson and published by John Wiley & Sons. This book was released on 2021-08-20 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Monetize your company’s data and data science expertise without spending a fortune on hiring independent strategy consultants to help What if there was one simple, clear process for ensuring that all your company’s data science projects achieve a high a return on investment? What if you could validate your ideas for future data science projects, and select the one idea that’s most prime for achieving profitability while also moving your company closer to its business vision? There is. Industry-acclaimed data science consultant, Lillian Pierson, shares her proprietary STAR Framework – A simple, proven process for leading profit-forming data science projects. Not sure what data science is yet? Don’t worry! Parts 1 and 2 of Data Science For Dummies will get all the bases covered for you. And if you’re already a data science expert? Then you really won’t want to miss the data science strategy and data monetization gems that are shared in Part 3 onward throughout this book. Data Science For Dummies demonstrates: The only process you’ll ever need to lead profitable data science projects Secret, reverse-engineered data monetization tactics that no one’s talking about The shocking truth about how simple natural language processing can be How to beat the crowd of data professionals by cultivating your own unique blend of data science expertise Whether you’re new to the data science field or already a decade in, you’re sure to learn something new and incredibly valuable from Data Science For Dummies. Discover how to generate massive business wins from your company’s data by picking up your copy today.

Digital Business Models for Industry 4.0

Author : Carlo Bagnoli
Publisher : Springer Nature
ISBN 13 : 3030972844
Total Pages : 279 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Digital Business Models for Industry 4.0 by : Carlo Bagnoli

Download or read book Digital Business Models for Industry 4.0 written by Carlo Bagnoli and published by Springer Nature. This book was released on 2022-05-20 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological advancements are contributing to shape future business models and the industrial scenario. Companies face the challenge of having to adapt to the frequently shifting technology landscape. Therefore, organizations must exploit technological advances to thrive in the digital revolution. This book presents and discusses emerging digital business models in the Industry 4.0. These models are illustrated with real case studies and include data-driven, platform, smart factory and servitization among others. The book introduces a detailed classification to help organizations to redesign their current business models and discusses how to gain unique competitive advantages. The book includes not only theoretical concepts to understand the context of digital transformation but also an assessment framework to enable and support innovation in organizations and create new revenue streams. The book will be of interest to students and professionals alike who want to understand the core of the Industry 4.0.

Monetizing Machine Learning

Author : Manuel Amunategui
Publisher : Apress
ISBN 13 : 1484238737
Total Pages : 510 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Monetizing Machine Learning by : Manuel Amunategui

Download or read book Monetizing Machine Learning written by Manuel Amunategui and published by Apress. This book was released on 2018-09-12 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take your Python machine learning ideas and create serverless web applications accessible by anyone with an Internet connection. Some of the most popular serverless cloud providers are covered in this book—Amazon, Microsoft, Google, and PythonAnywhere. You will work through a series of common Python data science problems in an increasing order of complexity. The practical projects presented in this book are simple, clear, and can be used as templates to jump-start many other types of projects. You will learn to create a web application around numerical or categorical predictions, understand the analysis of text, create powerful and interactive presentations, serve restricted access to data, and leverage web plugins to accept credit card payments and donations. You will get your projects into the hands of the world in no time. Each chapter follows three steps: modeling the right way, designing and developing a local web application, and deploying onto a popular and reliable serverless cloud provider. You can easily jump to or skip particular topics in the book. You also will have access to Jupyter notebooks and code repositories for complete versions of the code covered in the book. What You’ll Learn Extend your machine learning models using simple techniques to create compelling and interactive web dashboards Leverage the Flask web framework for rapid prototyping of your Python models and ideasCreate dynamic content powered by regression coefficients, logistic regressions, gradient boosting machines, Bayesian classifications, and more Harness the power of TensorFlow by exporting saved models into web applications Create rich web dashboards to handle complex real-time user input with JavaScript and Ajax to yield interactive and tailored contentCreate dashboards with paywalls to offer subscription-based accessAccess API data such as Google Maps, OpenWeather, etc.Apply different approaches to make sense of text data and return customized intelligence Build an intuitive and useful recommendation site to add value to users and entice them to keep coming back Utilize the freemium offerings of Google Analytics and analyze the results Take your ideas all the way to your customer's plate using the top serverless cloud providers Who This Book Is For Those with some programming experience with Python, code editing, and access to an interpreter in working order. The book is geared toward entrepreneurs who want to get their ideas onto the web without breaking the bank, small companies without an IT staff, students wanting exposure and training, and for all data science professionals ready to take things to the next level.

Data Governance

Author : John Ladley
Publisher : Academic Press
ISBN 13 : 0128158328
Total Pages : 352 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Data Governance by : John Ladley

Download or read book Data Governance written by John Ladley and published by Academic Press. This book was released on 2019-11-08 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The cost of exponential data growth and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk. The solution to these challenges is also data governance; ensuring balance between risk and opportunity. Data Governance, Second Edition, is for any executive, manager or data professional who needs to understand or implement a data governance program. It is required to ensure consistent, accurate and reliable data across their organization. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses. With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program. Incorporates industry changes, lessons learned and new approaches Explores various ways in which data analysts and managers can ensure consistent, accurate and reliable data across their organizations Includes new case studies which detail real-world situations Explores all of the capabilities an organization must adopt to become data driven Provides guidance on various approaches to data governance, to determine whether an organization should be low profile, central controlled, agile, or traditional Provides guidance on using technology and separating vendor hype from sincere delivery of necessary capabilities Offers readers insights into how their organizations can improve the value of their data, through data quality, data strategy and data literacy Provides up to 75% brand-new content compared to the first edition

Tax and Technology

Author : Annika Streicher
Publisher : Linde Verlag GmbH
ISBN 13 : 3709412994
Total Pages : 683 pages
Book Rating : 4.7/5 (94 download)

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Book Synopsis Tax and Technology by : Annika Streicher

Download or read book Tax and Technology written by Annika Streicher and published by Linde Verlag GmbH. This book was released on 2023-10-13 with total page 683 pages. Available in PDF, EPUB and Kindle. Book excerpt: The challenges and opportunities of new technologies in the tax field Technological developments induced major reforms in the regulatory international and domestic tax landscapes as well as in the developments in the use of technology by tax administrations and taxpayers. New technology, especially the innovations in virtual asset-light cross-border business organizations, data analytics, service and process automation, on one hand, disrupted the well-established legal tax principles and rules and, on the other, stimulated informed data-driven and structured solutions in tax compliance. Technological advances affected nearly every area and each aspect of taxation: Direct tax regulations, indirect tax law, and tax procedures including tax compliance, and tax control functions. International organizations such as the Organization for Economic Co-operation and Development (OECD), the United Nations (UN), and the European Commission as a supranational organization fostered critical legislative reforms and proposals among which are the OECD Two-Pillar Solution to Address the Tax Challenges Arising from Digitalisation of the Economy, Article 12B of the UN Model Tax Convention to tax automated digital services, new rules for tracing transfers of crypto-assets in the EU, as well as the EU ́s VAT e-commerce package and "VAT in the Digital Age" package. While these proposals aim to address a wide range of the benefits and challenges of Economy 4.0, certain questions arise concerning the consistency of the legislative developments with their initial objectives, the appropriateness of the legal form for the economic substance of the regulated relations for the effectiveness of the regulations as well as their coherence. This volume contains a collection of scientific chapters on the general topic "Tax and Technology" that were successfully completed by the 2022/2023 LL.M. graduates of the Institute for Austrian and International Tax Law, WU. The volume is divided into three parts that contain the contributions dealing with the impact of the technology on international tax law, indirect tax law, and procedural law. Each chapter provides an in-depth analysis of a unique research question aiming to innovatively contribute to the current debate and develop a practical approach for implementing the findings.