Thinking with Data

How to Turn Information Into Insights

Author: Max Shron

Publisher: "O'Reilly Media, Inc."

ISBN: 1491949864

Category: Computers

Page: 94

View: 6364

Many analysts are too concerned with tools and techniques for cleansing, modeling, and visualizing datasets and not concerned enough with asking the right questions. In this practical guide, data strategy consultant Max Shron shows you how to put the why before the how, through an often-overlooked set of analytical skills. Thinking with Data helps you learn techniques for turning data into knowledge you can use. You’ll learn a framework for defining your project, including the data you want to collect, and how you intend to approach, organize, and analyze the results. You’ll also learn patterns of reasoning that will help you unveil the real problem that needs to be solved. Learn a framework for scoping data projects Understand how to pin down the details of an idea, receive feedback, and begin prototyping Use the tools of arguments to ask good questions, build projects in stages, and communicate results Explore data-specific patterns of reasoning and learn how to build more useful arguments Delve into causal reasoning and learn how it permeates data work Put everything together, using extended examples to see the method of full problem thinking in action

Data Smart

Using Data Science to Transform Information into Insight

Author: John W. Foreman

Publisher: John Wiley & Sons

ISBN: 1118839862

Category: Business & Economics

Page: 432

View: 9955

Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope. Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data. Each chapter will cover a different technique in a spreadsheet so you can follow along: Mathematical optimization, including non-linear programming and genetic algorithms Clustering via k-means, spherical k-means, and graph modularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, and bag-of-words models Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

Data Insights

New Ways to Visualize and Make Sense of Data

Author: Hunter Whitney

Publisher: Newnes

ISBN: 0123877946

Category: Computers

Page: 320

View: 8146

Data Insights: New Ways to Visualize and Make Sense of Data offers thought-provoking insights into how visualization can foster a clearer and more comprehensive understanding of data. The book offers perspectives from people with different backgrounds, including data scientists, statisticians, painters, and writers. It argues that all data is useless, or misleading, if we do not know what it means. Organized into seven chapters, the book explores some of the ways that data visualization and other emerging approaches can make data meaningful and therefore useful. It also discusses some fundamental ideas and basic questions in the data lifecycle; the process of interactions between people, data, and displays that lead to better questions and more useful answers; and the fundamentals, origins, and purposes of the basic building blocks that are used in data visualization. The reader is introduced to tried and true approaches to understanding users in the context of user interface design, how communications can get distorted, and how data visualization is related to thinking machines. Finally, the book looks at the future of data visualization by assessing its strengths and weaknesses. Case studies from business analytics, healthcare, network monitoring, security, and games, among others, as well as illustrations, thought-provoking quotes, and real-world examples are included. This book will prove useful to computer professionals, technical marketing professionals, content strategists, Web and product designers, and researchers. Demonstrates, with a variety of case studies, how visualizations can foster a clearer and more comprehensive understanding of data Answers the question, "How can data visualization help me?" with discussions of how it fits into a wide array of purposes and situations Makes the case that data visualization is not just about technology; it also involves a deeply human process

Contemporary Research Methods and Data Analytics in the News Industry

Author: Gibbs, William J.

Publisher: IGI Global

ISBN: 1466685816

Category: Language Arts & Disciplines

Page: 339

View: 6700

The advent of digital technologies has changed the news and publishing industries drastically. While shrinking newsrooms may be a concern for many, journalists and publishing professionals are working to reorient their skills and capabilities to employ technology for the purpose of better understanding and engaging with their audiences. Contemporary Research Methods and Data Analytics in the News Industry highlights the research behind the innovations and emerging practices being implemented within the journalism industry. This crucial, industry-shattering publication focuses on key topics in social media and video streaming as a new form of media communication as well the application of big data and data analytics for collecting information and drawing conclusions about the current and future state of print and digital news. Due to significant insight surrounding the latest applications and technologies affecting the news industry, this publication is a must-have resource for journalists, analysts, news media professionals, social media strategists, researchers, television news producers, and upper-level students in journalism and media studies. This timely industry resource includes key topics on the changing scope of the news and publishing industries including, but not limited to, big data, broadcast journalism, computational journalism, computer-mediated communication, data scraping, digital media, news media, social media, text mining, and user experience.

Big Data

Understanding How Data Powers Big Business

Author: Bill Schmarzo

Publisher: John Wiley & Sons

ISBN: 1118740009

Category: Business & Economics

Page: 240

View: 6392

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.

Trading Places

Practices of Public Participation in Art and Design Research

Author: David Hamers,Naomi Bueno de Mesquita,Annelies Vaneycken,Jessica Schoffelen

Publisher: dpr-barcelona

ISBN: 8494487396

Category: Juvenile Nonfiction

Page: 176

View: 482

Trading Places rethinks, develops, and tests design-driven practices and methods to engage with participation in public space and public issues. With this book we aim to help art and design researchers, students, practitioners, and the multiple stakeholders they collaborate with, to explore what participatory ways of working in our contemporary urban environment entail. Six approaches are discussed: intervention, performative mapping, play, data mining, modelling in dialogue, and curating. Each approach offers a different kind of logic and produces a different type of knowledge. Trading Places invites the reader to discover common ground, explore new territories, and exchange points of view – in short, to trade perspectives on issues of participation.

The Art of Insight

How to Have More Aha! Moments

Author: Charles F. Kiefer,Malcolm Constable

Publisher: Berrett-Koehler Publishers

ISBN: 1609948092

Category: Self-Help

Page: 184

View: 8707

Offers a pragmatic approach to generating fresh thoughts and perspectives and guides readers with user-friendly practices and exercises to cultivate a mindset where insight comes readily.

Data-Driven Design and Construction

25 Strategies for Capturing, Analyzing and Applying Building Data

Author: Randy Deutsch

Publisher: John Wiley & Sons

ISBN: 1118899261

Category: Architecture

Page: 384

View: 593

“In this comprehensive book, Professor Randy Deutsch has unlocked and laid bare the twenty-first century codice nascosto of architecture. It is data. Big data. Data as driver. . .This book offers us the chance to become informed and knowledgeable pursuers of data and the opportunities it offers to making architecture a wonderful, useful, and smart art form.” —From the Foreword by James Timberlake, FAIA Written for architects, engineers, contractors, owners, and educators, and based on today’s technology and practices, Data-Driven Design and Construction: 25 Strategies for Capturing, Applying and Analyzing Building Data addresses how innovative individuals and firms are using data to remain competitive while advancing their practices. seeks to address and rectify a gap in our learning, by explaining to architects, engineers, contractors and owners—and students of these fields—how to acquire and use data to make more informed decisions. documents how data-driven design is the new frontier of the convergence between BIM and architectural computational analyses and associated tools. is a book of adaptable strategies you and your organization can apply today to make the most of the data you have at your fingertips. Data-Driven Design and Construction was written to help design practitioners and their project teams make better use of BIM, and leverage data throughout the building lifecycle.

Winning with Data

Transform Your Culture, Empower Your People, and Shape the Future

Author: Tomasz Tunguz,Frank Bien

Publisher: John Wiley & Sons

ISBN: 1119257239

Category: Business & Economics

Page: 176

View: 2896

"This book shares how to instrument a company and most importantly, build an internal culture that values and uses data to maximum effect"--

Think Bigger

Developing a Successful Big Data Strategy for Your Business

Author: Mark Van Rijmenam

Publisher: AMACOM

ISBN: 0814434169

Category: Business & Economics

Page: 288

View: 1973

Big data--the enormous amount of data that is created as virtually every movement, transaction, and choice we make becomes digitized--is revolutionizing business. Offering real-world insight and explanations, this book provides a roadmap for organizations looking to develop a profitable big data strategy...and reveals why it's not something they can leave to the I.T. department. Sharing best practices from companies that have implemented a big data strategy including Walmart, InterContinental Hotel Group, Walt Disney, and Shell, Think Bigger covers the most important big data trends affecting organizations, as well as key technologies like Hadoop and MapReduce, and several crucial types of analyses. In addition, the book offers guidance on how to ensure security, and respect the privacy rights of consumers. It also examines in detail how big data is impacting specific industries--and where opportunities can be found. Big data is changing the way businesses--and even governments--are operated and managed. Think Bigger is an essential resource for anyone who wants to ensure that their company isn't left in the dust.

Html5 and Css3 Responsive Web Design Cookbook

Author: Benjamin LaGrone

Publisher: Packt Publishing Ltd

ISBN: 1849695458

Category: Computers

Page: 204

View: 1102

As a Cookbook, we are targeting existing developers who need to pick and choose specific recipes in order to help their websites become accessible (and usable) regardless of screen size, device, or browser.HTML5 and CSS3 Responsive Web Design Cookbook, for all of today's wireless Internet devices, is for web developers seeking innovative techniques that deliver fast, intuitive interfacing for the latest mobile Internet devices.

Big Data MBA

Driving Business Strategies with Data Science

Author: Bill Schmarzo

Publisher: John Wiley & Sons

ISBN: 1119238846

Category: Computers

Page: 312

View: 5727

Integrate big data into business to drive competitive advantage and sustainable success Big Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage. Based on a practical framework with supporting methodology and hands-on exercises, this book helps identify where and how big data can help you transform your business. You'll learn how to exploit new sources of customer, product, and operational data, coupled with advanced analytics and data science, to optimize key processes, uncover monetization opportunities, and create new sources of competitive differentiation. The discussion includes guidelines for operationalizing analytics, optimal organizational structure, and using analytic insights throughout your organization's user experience to customers and front-end employees alike. You'll learn to “think like a data scientist” as you build upon the decisions your business is trying to make, the hypotheses you need to test, and the predictions you need to produce. Business stakeholders no longer need to relinquish control of data and analytics to IT. In fact, they must champion the organization's data collection and analysis efforts. This book is a primer on the business approach to analytics, providing the practical understanding you need to convert data into opportunity. Understand where and how to leverage big data Integrate analytics into everyday operations Structure your organization to drive analytic insights Optimize processes, uncover opportunities, and stand out from the rest Help business stakeholders to “think like a data scientist” Understand appropriate business application of different analytic techniques If you want data to transform your business, you need to know how to put it to use. Big Data MBA shows you how to implement big data and analytics to make better decisions.

Behind Every Good Decision

Author: Piyanka Jain

Publisher: Maribeth G. Heflin

ISBN: N.A

Category:

Page: N.A

View: 649

There is a costly misconception in business today—that the only data that matters is BIG data, and that complex tools and data scientists are required to extract any practical information. Nothing could be further from the truth. In Behind Every Good Decision, authors and analytics experts Piyanka Jain and Puneet Sharma demonstrate how professionals at any level can take the information at their disposal and leverage it to make better decisions. The authors' streamlined frame work demystifies the process of business analytics and helps anyone move from data to decisions in just five steps...using only Excel as a tool. Readers will learn how to: Clarify the business question • Lay out a hypothesis-driven plan • Pull relevant data • Convert it to insights • Make decisions that make an impact Packed with examples and exercises, this refreshingly accessible book explains the four fundamental...

How to Think Like a Horse

The Essential Handbook for Understanding Why Horses Do What They Do

Author: Cherry Hill

Publisher: Storey Publishing

ISBN: 160342802X

Category: Pets

Page: 192

View: 664

In this fascinating best seller, Cherry Hill explores the way horses think and how it affects their behavior. Explaining why certain smells and sounds appeal to your horse’s sensibility and what sets off his sudden movements, Hill stresses how recognizing the thought processes behind your horse’s actions can help you communicate effectively and develop a trusting relationship based on mutual respect.

Data Strategy

How to Profit from a World of Big Data, Analytics and the Internet of Things

Author: Bernard Marr

Publisher: Kogan Page Publishers

ISBN: 0749479868

Category: Business & Economics

Page: 200

View: 8187

Less than 0.5 per cent of all data is currently analysed 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. Bernard Marr's 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.

The Insights Advantage

Knowing How to Win

Author: Marco Vriens

Publisher: iUniverse

ISBN: 9781462083978

Category: Business & Economics

Page: 168

View: 5564

PRAISE FOR THE INSIGHTS ADVANTAGE ..". this important work will provide the CEO with a blueprint on how to compete with smarter insights." -Thomas Harrison, chairman and CEO of Diversi ed Agency Services (DAS), an Omnicom Group Inc. division "Data and analytics are great, but only insofar as they yield insights. If you're serious about insight-driven marketing and sales, you'll read this book and apply its lessons. It's your rst step toward decisions based on valid and unique insights about your customers." -Thomas H. Davenport, President's Distinguished Professor, Babson College; coauthor of "Competing on Analytics and Analytics at Work" "Marco Vriens writes with authority and personal experience on the strategic advantage of validated insights. This approach will help the bottom line for businesses and business units of all sizes." -Christine Betts, general manager for Microsoft "In this period of innovation anemia and marketing data overload, Marco Vriens' skillfully written book shows marketers the necessity and manner of organizing corporate business insights, which are currently all too often hidden in plain sight. Read the book, adopt the approach, and prosper." -Simon Kooiman, CEO of Knowledge Networks "Marco Vriens lays out a blueprint for generating business-di erentiating insights and how to pro t from those insights. This unique book should be preferred reading for business decision-makers." -Sandra Miller, chief marketing o cer of Health Travel Technologies "Companies are literally swimming in data, but data without insight or action is just overhead. Marco Vriens unlocks some of the mysteries of how companies can turn raw data into insight for nancial gain. The principles in this book can bring a big advantage to your company!" -Tom Markert, senior vice president of marketing for The Home Depot "Finally, someone who possesses deep insight on insight has created a framework to help businesses extract, capture and manage insights. "The Insights Advantage" is the essential primer on business insight." -Daryl Travis, CEO of BrandTrust"

Data Science for Business

What You Need to Know about Data Mining and Data-Analytic Thinking

Author: Foster Provost,Tom Fawcett

Publisher: "O'Reilly Media, Inc."

ISBN: 144937428X

Category: Computers

Page: 414

View: 1983

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates

Storytelling with Data

A Data Visualization Guide for Business Professionals

Author: Cole Nussbaumer Knaflic

Publisher: John Wiley & Sons

ISBN: 1119002265

Category: Mathematics

Page: 288

View: 3541

Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!

Big Data

A Revolution That Will Transform How We Live, Work, and Think

Author: Viktor Mayer-Schönberger,Kenneth Cukier

Publisher: Houghton Mifflin Harcourt

ISBN: 0544002938

Category: Business & Economics

Page: 240

View: 8103

A revelatory exploration of the hottest trend in technology and the dramatic impact it will have on the economy, science, and society at large. Which paint color is most likely to tell you that a used car is in good shape? How can officials identify the most dangerous New York City manholes before they explode? And how did Google searches predict the spread of the H1N1 flu outbreak? The key to answering these questions, and many more, is big data. “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior. In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing. www.big-data-book.com

Analytics In Practice

Author: Soumendra Mohanty,Soumendra

Publisher: Tata McGraw-Hill Education

ISBN: 9780070707061

Category: Business intelligence

Page: 389

View: 4388