Narrative by Numbers

Narrative by Numbers

These are the ability to interrogate and make sense of data, and the ability to use insights extracted from data to persuade others to act. Analytics + storytelling = influence.

Author: Sam Knowles

Publisher: Routledge

ISBN: 9781351137201

Category: Business & Economics

Page: 164

View: 201

Shortlisted for the Business Book of the Year Awards in the Sales and Marketing category. As jobs become increasingly similar, there are two skills that everyone needs if they’re going to thrive. These are the ability to interrogate and make sense of data, and the ability to use insights extracted from data to persuade others to act. Analytics + storytelling = influence. Humans are hardwired to respond to stories and story structure. Stories are how we make sense of and navigate the world. We respond best to stories that are based on evidence. But storytellers need to use data as the foundation of stories, not as the actual stories themselves. To be truly impactful, rational facts need to be presented with a veneer of emotion. The Big Data revolution means more data is available than ever. The trouble is, most people aren’t very numerate or good at statistics. Many find it hard to look at data and extract insights. Meanwhile, those for whom numbers hold no fear don’t always make the best storytellers. They mistakenly believe they need to prove their point by showing their workings. There are some simple and effective rules of data-driven storytelling that help everyone tell more compelling, evidence-based stories, whoever they need to convince. Narrative by Numbers shows you how.
Categories: Business & Economics

Analytics and Big Data The Davenport Collection 6 Items

Analytics and Big Data  The Davenport Collection  6 Items

Write a Report The first step toward practice is to write a report, which helps you
learn how to “tell a story with data.” You will probably learn a lot from reading
texts, but you will learn a great deal more if you scrupulously try to solve a real ...

Author: Thomas H. Davenport

Publisher: Harvard Business Review Press

ISBN: 9781625277749

Category: Business & Economics

Page: 961

View: 350

The Analytics and Big Data collection offers a “greatest hits” digital compilation of ideas from world-renowned thought leader Thomas Davenport, who helped popularize the terms analytics and big data in the workplace. An agile and prolific thinker, Davenport has written or coauthored more than a dozen bestselling books. Several of these titles are offered together for the first time in this curated digital bundle, including: Big Data at Work, Competing on Analytics, Analytics at Work, and Keeping Up with the Quants. The collection also includes Davenport’s popular Harvard Business Review articles, “Data Scientist: The Sexiest Job of the 21st Century” (2012) and “Analytics 3.0” (2013). Combined, these works cover all the bases on analytics and big data: what each term means; the ramifications of each from a technical, consumer, and management perspective; and where each can have the biggest impact on your business. Whether you’re an executive, a manager, or a student wanting to learn more, Analytics and Big Data is the most comprehensive collection you’ll find on the ever-growing phenomenon of digital data and analysis—and how you can make this rising business trend work for you. Named one of the ten “Masters of the New Economy” by CIO magazine, Thomas Davenport has helped hundreds of companies revitalize their management practices. He combines his interests in research, teaching, and business management as the President’s Distinguished Professor of Information Technology & Management at Babson College. Davenport has also taught at Harvard Business School, the University of Chicago, Dartmouth’s Tuck School of Business, and the University of Texas at Austin and has directed research centers at Accenture, McKinsey & Company, Ernst & Young, and CSC. He is also an independent Senior Advisor to Deloitte Analytics.
Categories: Business & Economics

Little Bites of Big Data for Public Policy

Little Bites of Big Data for Public Policy

They'll surely be interested in the overall patterns of the data, but what they'll care
about most is how a program affects their neighborhood, district, town, or state.
Maps tell the story that policymakers want most to hear. And they also talk to ...

Author: Donald F. Kettl

Publisher: CQ Press

ISBN: 9781506383507

Category: Political Science

Page: 96

View: 407

Little Bites of Big Data for Public Policy brings to life the quest to make better policy with better evidence. This brief book frames the big puzzles and, through lively stories and clear examples, provides a valuable how-to guide for producing analysis that works—that speaks persuasively to policy makers, in the language they can best hear, on the problems for which they most need answers. Author Donald F. Kettl brings together the cutting-edge streams of data analytics and data visualization to frame the big puzzles and find ways to make the pieces fit together. By taking little bites of a wide variety of useful data, and then by analyzing it in ways that decision makers will find most helpful, analysts can be much more effective in shaping solutions to the most important problems governments face.
Categories: Political Science

Visual Data Storytelling with Tableau

Visual Data Storytelling with Tableau

The modules in this book will go beyond the dashboard to communicate business-relevant implications of data analyses using the analytic, visualization, and storytelling capabilities of Tableau, the most popular visualization software in use ...

Author: Lindy Ryan

Publisher: Addison-Wesley Professional

ISBN: 0134712838

Category: Computers

Page: 272

View: 908

The modules in this book will go beyond the dashboard to communicate business-relevant implications of data analyses using the analytic, visualisation, and storytelling capabilities of Tableau, the most popular visualisation software in use by businesses world today. Each chapter will split focus between discussing key components of design practice and data visualisation and introducing a format for representing information with step-by-step guides for using Tableau. By the end of this book, readers will not only understand how data stories differ from traditional storytelling and how to purposefully craft a compelling data story, but also how to employ the horsepower of Tableau to structure data analysis projects so that they can effectively analyse, visualise, and communicate insights in a way that is meaningful for stakeholders across a variety of communication mediums.
Categories: Computers

Big Data

Big Data

Using SMART Big Data, Analytics and Metrics To Make Better Decisions and
Improve Performance Bernard Marr ... They don't tell the whole story but they are
a simple and effective way to increase interest and put the report in context.

Author: Bernard Marr

Publisher: John Wiley & Sons

ISBN: 9781118965825

Category: Business & Economics

Page: 256

View: 622

Convert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in place to improve performance. Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, Big Data will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform. Discusses how companies need to clearly define what it is they need to know Outlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questions Addresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand them Includes many high-profile case studies from the author's work with some of the world's best known brands
Categories: Business & Economics

Emerging Technologies in Data Mining and Information Security

Emerging Technologies in Data Mining and Information Security

building any real-time story-telling with self-service data visualization is
presented. ... this paper will serve as a helpful opening to readers interested in
self-service visualization and real-time storytelling in big data technologies. ...
Data storieshow to combine the power storytelling with effective data
visualization, https:// ...

Author: Ajith Abraham

Publisher: Springer

ISBN: 9789811314988

Category: Technology & Engineering

Page: 885

View: 567

The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23–25, 2018. It comprises high-quality research by academics and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security.
Categories: Technology & Engineering

Data Science and Big Data Analytics

Data Science and Big Data Analytics

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use.

Author: EMC Education Services

Publisher: John Wiley & Sons

ISBN: 9781118876053

Category: Computers

Page: 432

View: 835

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Corresponding data sets are available at www.wiley.com/go/9781118876138. Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!
Categories: Computers

Journalism in an Era of Big Data

Journalism in an Era of Big Data

Data journalism retains CAR's emphasis on subordinating data to the
professional journalistic value of narrative and the “story.” Just as in CAR, data
journalism discourse foregrounds telling the story over using data, though it is
looser in its ...

Author: Seth C. Lewis

Publisher: Routledge

ISBN: 9781315533278

Category: Social Science

Page: 150

View: 733

Big data is marked by staggering growth in the collection and analysis of digital trace information regarding human and natural activity, bound up in and enabled by the rise of persistent connectivity, networked communication, smart machines, and the internet of things. In addition to their impact on technology and society, these developments have particular significance for the media industry and for journalism as a practice and a profession. These data-centric phenomena are, by some accounts, poised to greatly influence, if not transform, some of the most fundamental aspects of news and its production and distribution by humans and machines. What such changes actually mean for news, democracy, and public life, however, is far from certain. As such, there is a need for scholarly scrutiny and critique of this trend, and this volume thus explores a range of phenomena—from the use of algorithms in the newsroom, to the emergence of automated news stories—at the intersection between journalism and the social, computer, and information sciences. What are the implications of such developments for journalism’s professional norms, routines, and ethics? For its organizations, institutions, and economics? For its authority and expertise? And for the epistemology that underwrites journalism’s role as knowledge-producer and sense-maker in society? Altogether, this book offers a first step in understanding what big data means for journalism. This book was originally published as a special issue of Digital Journalism.
Categories: Social Science

The Politics and Policies of Big Data

The Politics and Policies of Big Data

To leave the telling to others is a strategy that has had success in many different
storytelling traditions – from fairy tales to ... this metastory in Norwegian print
newspapers and the changes in how the story frames surveillance and Big Data
over ...

Author: Ann Rudinow Sætnan

Publisher: Routledge

ISBN: 9781351866545

Category: Social Science

Page: 358

View: 883

Big Data, gathered together and re-analysed, can be used to form endless variations of our persons - so-called ‘data doubles’. Whilst never a precise portrayal of who we are, they unarguably contain glimpses of details about us that, when deployed into various routines (such as management, policing and advertising) can affect us in many ways. How are we to deal with Big Data? When is it beneficial to us? When is it harmful? How might we regulate it? Offering careful and critical analyses, this timely volume aims to broaden well-informed, unprejudiced discourse, focusing on: the tenets of Big Data, the politics of governance and regulation; and Big Data practices, performance and resistance. An interdisciplinary volume, The Politics of Big Data will appeal to undergraduate and postgraduate students, as well as postdoctoral and senior researchers interested in fields such as Technology, Politics and Surveillance.
Categories: Social Science

Mastering Spark for Data Science

Mastering Spark for Data Science

Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science products About This Book Develop and apply advanced analytical techniques with Spark Learn how to ...

Author: Andrew Morgan

Publisher: Packt Publishing Ltd

ISBN: 9781785888281

Category: Computers

Page: 560

View: 687

Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science products About This Book Develop and apply advanced analytical techniques with Spark Learn how to tell a compelling story with data science using Spark's ecosystem Explore data at scale and work with cutting edge data science methods Who This Book Is For This book is for those who have beginner-level familiarity with the Spark architecture and data science applications, especially those who are looking for a challenge and want to learn cutting edge techniques. This book assumes working knowledge of data science, common machine learning methods, and popular data science tools, and assumes you have previously run proof of concept studies and built prototypes. What You Will Learn Learn the design patterns that integrate Spark into industrialized data science pipelines See how commercial data scientists design scalable code and reusable code for data science services Explore cutting edge data science methods so that you can study trends and causality Discover advanced programming techniques using RDD and the DataFrame and Dataset APIs Find out how Spark can be used as a universal ingestion engine tool and as a web scraper Practice the implementation of advanced topics in graph processing, such as community detection and contact chaining Get to know the best practices when performing Extended Exploratory Data Analysis, commonly used in commercial data science teams Study advanced Spark concepts, solution design patterns, and integration architectures Demonstrate powerful data science pipelines In Detail Data science seeks to transform the world using data, and this is typically achieved through disrupting and changing real processes in real industries. In order to operate at this level you need to build data science solutions of substance –solutions that solve real problems. Spark has emerged as the big data platform of choice for data scientists due to its speed, scalability, and easy-to-use APIs. This book deep dives into using Spark to deliver production-grade data science solutions. This process is demonstrated by exploring the construction of a sophisticated global news analysis service that uses Spark to generate continuous geopolitical and current affairs insights.You will learn all about the core Spark APIs and take a comprehensive tour of advanced libraries, including Spark SQL, Spark Streaming, MLlib, and more. You will be introduced to advanced techniques and methods that will help you to construct commercial-grade data products. Focusing on a sequence of tutorials that deliver a working news intelligence service, you will learn about advanced Spark architectures, how to work with geographic data in Spark, and how to tune Spark algorithms so they scale linearly. Style and approach This is an advanced guide for those with beginner-level familiarity with the Spark architecture and working with Data Science applications. Mastering Spark for Data Science is a practical tutorial that uses core Spark APIs and takes a deep dive into advanced libraries including: Spark SQL, visual streaming, and MLlib. This book expands on titles like: Machine Learning with Spark and Learning Spark. It is the next learning curve for those comfortable with Spark and looking to improve their skills.
Categories: Computers

Telling Stories

Telling Stories

They analyze a variety of topics from the narrative construction of self and identity to the telling of stories in different media and the roles that small and big life stories play in everyday social interactions and institutions.

Author: Deborah Schiffrin

Publisher: Georgetown University Press

ISBN: 9781589016743

Category: Language Arts & Disciplines

Page: 272

View: 479

Narratives are fundamental to our lives: we dream, plan, complain, endorse, entertain, teach, learn, and reminisce through telling stories. They provide hopes, enhance or mitigate disappointments, challenge or support moral order and test out theories of the world at both personal and communal levels. It is because of this deep embedding of narrative in everyday life that its study has become a wide research field including disciplines as diverse as linguistics, literary theory, folklore, clinical psychology, cognitive and developmental psychology, anthropology, sociology, and history. In Telling Stories leading scholars illustrate how narratives build bridges among language, identity, interaction, society, and culture; and they investigate various settings such as therapeutic and medical encounters, educational environments, politics, media, marketing, and public relations. They analyze a variety of topics from the narrative construction of self and identity to the telling of stories in different media and the roles that small and big life stories play in everyday social interactions and institutions. These new reflections on the theory and analysis of narrative offer the latest tools to researchers in the fields of discourse analysis and sociolinguistics.
Categories: Language Arts & Disciplines

Getting Started with Data Science

Getting Started with Data Science

Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities.

Author: Murtaza Haider

Publisher:

ISBN: 0133991245

Category: Business enterprises

Page:

View: 711

Categories: Business enterprises

Data Science Programming All In One For Dummies

Data Science Programming All In One For Dummies

This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models.

Author: John Paul Mueller

Publisher: John Wiley & Sons

ISBN: 9781119626114

Category: Computers

Page: 768

View: 235

Your logical, linear guide to the fundamentals of data science programming Data science is exploding—in a good way—with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models. Data Science Programming All-In-One For Dummies is a compilation of the key data science, machine learning, and deep learning programming languages: Python and R. It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems in real time. Get grounded: the ideal start for new data professionals What lies ahead: learn about specific areas that data is transforming Be meaningful: find out how to tell your data story See clearly: pick up the art of visualization Whether you’re a beginning student or already mid-career, get your copy now and add even more meaning to your life—and everyone else’s!
Categories: Computers

Big Data Big Analytics

Big Data  Big Analytics

The challenge is to discover how to leverage these rapidly evolving and
nonstandardized skills into an enterprise analytics group usable by health care
stakeholders. ... There is very little knowledge transfer between tomorrow's Big
Data scientist and today's health care CIOs. ... management teams), these skills
don't really help data tell its story and transform the business through improved
analytics.

Author: Michael Minelli

Publisher: John Wiley & Sons

ISBN: 9781118239155

Category: Business & Economics

Page: 224

View: 458

Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.
Categories: Business & Economics

Planning for Big Data

Planning for Big Data

This underlines a principle of big data: when you can, keep everything. ...
Storytelling: the ability to use data to tell a story and to be able to communicate it
effectively. ... of big data analytics projects can have uncomfortable aspects: data
must be broken out of silos in order to be mined, and the organization must learn
how to ...

Author: Edd Wilder-James

Publisher: "O'Reilly Media, Inc."

ISBN: 9781449329648

Category: Computers

Page: 83

View: 670

In an age where everything is measurable, understanding big data is an essential. From creating new data-driven products through to increasing operational efficiency, big data has the potential to make your organization both more competitive and more innovative. As this emerging field transitions from the bleeding edge to enterprise infrastructure, it's vital to understand not only the technologies involved, but the organizational and cultural demands of being data-driven. Written by O'Reilly Radar's experts on big data, this anthology describes: The broad industry changes heralded by the big data era What big data is, what it means to your business, and how to start solving data problems The software that makes up the Hadoop big data stack, and the major enterprise vendors' Hadoop solutions The landscape of NoSQL databases and their relative merits How visualization plays an important part in data work
Categories: Computers

The Power of Data Storytelling

The Power of Data Storytelling

The book covers all data story related aspects—art of storytelling, building, writing and visualizing. The book reflects practical corporate examples from varied fields and how data storytelling enabled the decision-making process.

Author: Sejal Vora

Publisher: SAGE Publications India

ISBN: 9789353282912

Category: Business & Economics

Page: 248

View: 846

The first-of-its-kind book on data story telling set in the Indian context by an Indian author. The Power of Data Storytelling is a book that aims to solve the classic dilemma of—How do I make company data interesting and present it in the form of a great data story for today’s time-crunched professionals. The book focuses on various methods of converting dry facts and figures into interesting characters, events and relaying them in the form of a story to enable company’s decision-making. The book covers all data story related aspects—art of storytelling, building, writing and visualizing. The book reflects practical corporate examples from varied fields and how data storytelling enabled the decision-making process. It does not require knowledge of sophisticated tools and introduces new, simple and application-oriented methods at every stage to take data storytelling forward. The book has wide application across industries and organizations with data sets that are big and small. It has explanatory written and visual examples at every discussion which makes it less theoretical and more practically applicable.
Categories: Business & Economics

Data Fluency

Data Fluency

Telling a convincing story with actionable data sets the stage for a different type
of meeting between organizations and their clients—a meeting where the client
isn't even thinking about contract renewal or renegotiation but rather how to solve
problems informed by thoughtful analysis. ... Avanade, “Global Survey: Is Big
Data Producing Big Returns?,” published June 2012, retrieved on July 22, 2014
from ...

Author: Zach Gemignani

Publisher: John Wiley & Sons

ISBN: 9781118851005

Category: Computers

Page: 288

View: 869

A dream come true for those looking to improve their data fluency Analytical data is a powerful tool for growing companies, but what good is it if it hides in the shadows? Bring your data to the forefront with effective visualization and communication approaches, and let Data Fluency: Empowering Your Organization with Effective Communication show you the best tools and strategies for getting the job done right. Learn the best practices of data presentation and the ways that reporting and dashboards can help organizations effectively gauge performance, identify areas for improvement, and communicate results. Topics covered in the book include data reporting and communication, audience and user needs, data presentation tools, layout and styling, and common design failures. Those responsible for analytics, reporting, or BI implementation will find a refreshing take on data and visualization in this resource, as will report, data visualization, and dashboard designers. Conquer the challenge of making valuable data approachable and easy to understand Develop unique skills required to shape data to the needs of different audiences Full color book links to bonus content at juiceanalytics.com Written by well-known and highly esteemed authors in the data presentation community Data Fluency: Empowering Your Organization with Effective Communication focuses on user experience, making reports approachable, and presenting data in a compelling, inspiring way. The book helps to dissolve the disconnect between your data and those who might use it and can help make an impact on the people who are most affected by data. Use Data Fluency today to develop the skills necessary to turn data into effective displays for decision-making.
Categories: Computers

Digital Analytics Primer

Digital Analytics Primer

Data science is a novel term that is often used interchangeably with competitive
intelligence or business analytics, although it is becoming more common. Data
science seeks to use all available and relevant data to effectively tell a story that ...

Author: Judah Phillips

Publisher: FT Press

ISBN: 9780133552102

Category: Computers

Page: 228

View: 643

Learn the concepts and methods for creating economic and business value with digital analytics, mobile analytics, web analytics, and market research and social media data. In Digital Analytics Primer , pioneering expert Judah Phillips introduces the concepts, terms, and methods that comprise the science and art of digital analysis for web, site, social, video, and other types of quantitative and qualitative data. Business readers—from new practitioners to experienced executives—who want to understand how digital analytics can be used to reduce costs and increase profitable revenue throughout the business should read this book. Phillips delivers a comprehensive review of the core concepts, vocabulary, and frameworks, including analytical methods and tools that can help you successfully integrate analytical processes, technology, and people into all aspects of business operations. This unbiased and product-independent primer draws from the author's extensive experience doing and managing analytics in this field.
Categories: Computers

Data Smart

Data Smart

you've been hearing from the big data software sales reps and bloggers to show
you what's really possible with your data. ... Once you understand how to
implement the techniques with even the most barebones of tools, you'll find
yourself free to implement them in a variety of technologies, prototype ... to tell
you my story.

Author: John W. Foreman

Publisher: John Wiley & Sons

ISBN: 9781118839867

Category: Business & Economics

Page: 432

View: 979

Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.
Categories: Business & Economics

Creating Business Agility

Creating Business Agility

How Convergence of Cloud, Social, Mobile, Video, and Big Data Enables
Competitive Advantage Rodney Heisterberg, ... experience, so these examples
provide an entertaining way to tell compelling stories about creating business
agility.

Author: Rodney Heisterberg

Publisher: John Wiley & Sons

ISBN: 9781118724569

Category: Business & Economics

Page: 362

View: 605

"Focuses on the technology innovations that may help in building virtual businesses and making existing businesses smarter and efficient in their operations. Intended to help key decision makers understand more about introducing new technologies into businesses"--
Categories: Business & Economics