Outside Insight

Outside Insight PDF Author: Jorn Lyseggen
Publisher: Penguin UK
ISBN: 0241281644
Category : Business & Economics
Languages : en
Pages : 336

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Book Description
Is your business looking out? The world today is drowning in data. There is a treasure trove of valuable and underutilized insights that can be gleaned from information companies and people leave behind on the internet - our 'digital breadcrumbs' - from job postings, to online news, social media, online ad spend, patent applications and more. As a result, we're at the cusp of a major shift in the way businesses are managed and governed - moving from a focus solely on lagging, internal data, toward analyses that also encompass industry-wide, external data to paint a more complete picture of a brand's opportunities and threats and uncover forward-looking insights, in real time. Tomorrow's most successful brands are already embracing Outside Insight, benefitting from an information advantage while their competition is left behind. Drawing on practical examples of transformative, data-led decisions made by brands like Apple, Facebook, Barack Obama and many more, in Outside Insight, Meltwater CEO Jorn Lyseggen illustrates the future of corporate decision-making and offers a detailed plan for business leaders to implement Outside Insight thinking into their company mindset and processes.

Outside Insight

Outside Insight PDF Author: Jorn Lyseggen
Publisher: Penguin UK
ISBN: 0241281644
Category : Business & Economics
Languages : en
Pages : 336

Get Book Here

Book Description
Is your business looking out? The world today is drowning in data. There is a treasure trove of valuable and underutilized insights that can be gleaned from information companies and people leave behind on the internet - our 'digital breadcrumbs' - from job postings, to online news, social media, online ad spend, patent applications and more. As a result, we're at the cusp of a major shift in the way businesses are managed and governed - moving from a focus solely on lagging, internal data, toward analyses that also encompass industry-wide, external data to paint a more complete picture of a brand's opportunities and threats and uncover forward-looking insights, in real time. Tomorrow's most successful brands are already embracing Outside Insight, benefitting from an information advantage while their competition is left behind. Drawing on practical examples of transformative, data-led decisions made by brands like Apple, Facebook, Barack Obama and many more, in Outside Insight, Meltwater CEO Jorn Lyseggen illustrates the future of corporate decision-making and offers a detailed plan for business leaders to implement Outside Insight thinking into their company mindset and processes.

Drowning in Data?

Drowning in Data? PDF Author: Mary E. Shea
Publisher: Heinemann Educational Books
ISBN:
Category : Education
Languages : en
Pages : 196

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Book Description
Drowning in Data? outlines best practices for ongoing assessment that help you both plan instruction for your students and determine how much and how well they are learning. Mary Shea, Rosemary Murray, and Rebecca Harlin offer an overarching framework for assessment as well as a specific implementation plan. CARP (Collect, Analyze, Report, Plan) is a clear, concise assessment system that frames the goals and objectives of assessment, while TWIN is a specific portfolio-based means to show evidence of Thinking, Work samples, In-the-classroom benchmarks, and Norm-referenced or other standardized achievement testing. Together, CARP and TWIN simplify assessment by breaking it down into manageable chunks, while, at the same time, making information readily available to plan your teaching or substantiate student achievement.

Executing Data Quality Projects

Executing Data Quality Projects PDF Author: Danette McGilvray
Publisher: Academic Press
ISBN: 0128180161
Category : Computers
Languages : en
Pages : 378

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Book Description
Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for understanding information quality with techniques, tools, and instructions for practically putting the approach to work – with the end result of high-quality trusted data and information, so critical to today's data-dependent organizations. The Ten Steps approach applies to all types of data and all types of organizations – for-profit in any industry, non-profit, government, education, healthcare, science, research, and medicine. This book includes numerous templates, detailed examples, and practical advice for executing every step. At the same time, readers are advised on how to select relevant steps and apply them in different ways to best address the many situations they will face. The layout allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, best practices, and warnings. The experience of actual clients and users of the Ten Steps provide real examples of outputs for the steps plus highlighted, sidebar case studies called Ten Steps in Action. This book uses projects as the vehicle for data quality work and the word broadly to include: 1) focused data quality improvement projects, such as improving data used in supply chain management, 2) data quality activities in other projects such as building new applications and migrating data from legacy systems, integrating data because of mergers and acquisitions, or untangling data due to organizational breakups, and 3) ad hoc use of data quality steps, techniques, or activities in the course of daily work. The Ten Steps approach can also be used to enrich an organization's standard SDLC (whether sequential or Agile) and it complements general improvement methodologies such as six sigma or lean. No two data quality projects are the same but the flexible nature of the Ten Steps means the methodology can be applied to all. The new Second Edition highlights topics such as artificial intelligence and machine learning, Internet of Things, security and privacy, analytics, legal and regulatory requirements, data science, big data, data lakes, and cloud computing, among others, to show their dependence on data and information and why data quality is more relevant and critical now than ever before. - Includes concrete instructions, numerous templates, and practical advice for executing every step of The Ten Steps approach - Contains real examples from around the world, gleaned from the author's consulting practice and from those who implemented based on her training courses and the earlier edition of the book - Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices - A companion Web site includes links to numerous data quality resources, including many of the templates featured in the text, quick summaries of key ideas from the Ten Steps methodology, and other tools and information that are available online

Too Big to Ignore

Too Big to Ignore PDF Author: Phil Simon
Publisher: John Wiley & Sons
ISBN: 1118641868
Category : Business & Economics
Languages : en
Pages : 256

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Book Description
Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.

Making Sense of Data in the Media

Making Sense of Data in the Media PDF Author: Andrew Bell
Publisher: SAGE
ISBN: 1526493004
Category : Social Science
Languages : en
Pages : 245

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Book Description
The amount of data produced, captured and transmitted through the media has never been greater. But for this data to be useful, it needs to be properly understood and claims made about or with data need to be properly scrutinized. Through a series of examples of statistics in the media, this book shows you how to critically assess the presentation of data in the media, to identify what is significant and to sort verifiable conclusions from misleading claims. How accurate are polls, and how should we know? How should league tables be read? Are numbers presented as ‘large’ really as big as they may seem at first glance? By answering these questions and more, readers will learn a number of statistical concepts central to many undergraduate social science statistics courses. By tying them in to real life examples, the importance and relevance of these concepts comes to life. As such, this book does more than teaches techniques needed for a statistics course; it teaches you life skills that we need to use every single day.

How to Break Up with Your Phone

How to Break Up with Your Phone PDF Author: Catherine Price
Publisher: Ten Speed Press
ISBN: 0399581138
Category : Self-Help
Languages : en
Pages : 194

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Book Description
This evidence-based, user-friendly guide presents a 30-day digital detox plan that will help you set boundaries with your phone and live a more joyful and fulfilling life. “I wrote The Anxious Generation to help adults improve the lives of children. Many readers have asked me for a version of the book aimed at helping adults and teens help themselves. Catherine Price has written the best such book.”—Jonathan Haidt Do you feel addicted to your phone? Do you frequently pick it up “just to check,” only to look up forty-five minutes later wondering where the time has gone? Does social media make you anxious? Have you tried to spend less time mindlessly scrolling—and failed? If so, this book is your solution. Award-winning health and science journalist and TED speaker Catherine Price presents a practical, evidence-based 30-day digital detox plan that will help you break up—and then make up—with your phone. The goal: better mental health, improved screen-life balance, and a long-term relationship with technology that feels good. This engaging, user-friendly guide explains how our smartphones and apps are designed to be addictive and how the time we spend on them is increasing our anxiety and damaging our abilities to focus, think deeply, form new memories, generate ideas, and be present in our most important relationships. Next, it walks you through an effective and easy-to-follow 30-day plan that has already helped thousands of people worldwide break their phone addictions and feel more fully alive. Whether you need help for yourself or for your family, friends, students, colleagues, clients, or community, How to Break Up with Your Phone is the ultimate guide to digital detoxing. It’s guaranteed to help you put down your phone—and come back to life.

Data Smog

Data Smog PDF Author: David Shenk
Publisher: Harper Collins
ISBN: 0061844586
Category : Computers
Languages : en
Pages : 337

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Book Description
Media scholar ( and Internet Enthusiast ) David Shenk examines the troubling effects of information proliferation on our bodies, our brains, our relationships, and our culture, then offers strikingly down-to-earth insights for coping with the deluge. With a skillful mixture of personal essay, firsthand reportage, and sharp analysis, Shenk illustrates the central paradox of our time: as our world gets more complex, our responses to it become increasingly simplistic. He draws convincing links between data smog and stress distraction, indecision, cultural fragmentation, social vulgarity, and more. But there's hope for a saner, more meaningful future, as Shenk offers a wealth of novel prescriptions—both personal and societal—for dispelling data smog.

All Data Are Local

All Data Are Local PDF Author: Yanni Alexander Loukissas
Publisher: MIT Press
ISBN: 0262039664
Category : Computers
Languages : en
Pages : 267

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Book Description
How to analyze data settings rather than data sets, acknowledging the meaning-making power of the local. In our data-driven society, it is too easy to assume the transparency of data. Instead, Yanni Loukissas argues in All Data Are Local, we should approach data sets with an awareness that data are created by humans and their dutiful machines, at a time, in a place, with the instruments at hand, for audiences that are conditioned to receive them. The term data set implies something discrete, complete, and portable, but it is none of those things. Examining a series of data sources important for understanding the state of public life in the United States—Harvard's Arnold Arboretum, the Digital Public Library of America, UCLA's Television News Archive, and the real estate marketplace Zillow—Loukissas shows us how to analyze data settings rather than data sets. Loukissas sets out six principles: all data are local; data have complex attachments to place; data are collected from heterogeneous sources; data and algorithms are inextricably entangled; interfaces recontextualize data; and data are indexes to local knowledge. He then provides a set of practical guidelines to follow. To make his argument, Loukissas employs a combination of qualitative research on data cultures and exploratory data visualizations. Rebutting the “myth of digital universalism,” Loukissas reminds us of the meaning-making power of the local.

Foundations of Empowerment Evaluation

Foundations of Empowerment Evaluation PDF Author: David M. Fetterman
Publisher: SAGE
ISBN: 9780803956698
Category : Business & Economics
Languages : en
Pages : 190

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Book Description
" This timely addition to a new genre of evaluation methodology eschews the objectivity of an external evaluation in favor of internal value-driven assessments that advance the goal of self-improvement through self-determination. Fetterman offers down-to-earth, clearly written descriptions and explanations of an approach that reconciles the contingencies of organizational practice with the standards and principles of evaluation accountability. He adroitly bridges the gap between the subjectivity of self-evaluation and the objectivity of external evaluation by showing with case examples and detailed methods, forms, and narrative why empowerment evaluation extends the reach of standard evaluation practice." --Dennis Mithaug, Teacher's College, Columbia UniversityWhat is empowerment evaluation? When is it the most appropriate approach to use in an evaluation? How can it best be implemented? Aimed at demystifying empowerment evaluation, the book shows readers when to use this form of evaluation and how to more effectively use its three steps (developing a mission statement; taking stock by identifying and prioritizing the most significant program activities; and, charting a course for future strategies to accomplish program goals). Fetterman also illustrates the steps with four case examples, ranging from hospital to educational settings. In addition, he covers: how to use empowerment evaluation to meet the standards developed by the Joint Committee on Standards for Educational Evaluation; the caveats and concerns about the use of empowerment evaluation; the relationship between collaborative, participatory, stakeholder, and utilization-focused evaluation with empowermentevaluation; the role of the Internet in disseminating empowerment evaluation; and, an analysis of the strengths, weaknesses, and conditions of empowerment evaluation. This book will guide evaluators exploration of their roles

Megatrends

Megatrends PDF Author: John Naisbitt
Publisher: Grand Central Pub
ISBN: 9780446356817
Category : Health & Fitness
Languages : en
Pages : 333

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Book Description