Data Smart

Data Smart
by John W. Foreman

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 Smart
by John W. Foreman

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.


The Responsive City
by Stephen Goldsmith, Susan Crawford

Leveraging Big Data and 21st century technology to renew cities and citizenship in America

The Responsive City is a guide to civic engagement and governance in the digital age that will help leaders link important breakthroughs in technology and data analytics with age-old lessons of small-group community input to create more agile, competitive, and economically resilient cities. Featuring vivid case studies highlighting the work of pioneers in New York, Boston, Chicago and more, the book provides a compelling model for the future of governance. The book will help mayors, chief technology officers, city administrators, agency directors, civic groups and nonprofit leaders break out of current paradigms to collectively address civic problems. The Responsive City is the culmination of research originating from the Data-Smart City Solutions initiative, an ongoing project at Harvard Kennedy School working to catalyze adoption of data projects on the city level. The book is co-authored by Professor Stephen Goldsmith, director of Data-Smart City Solutions at Harvard Kennedy School, and Professor Susan Crawford, co-director of Harvard’s Berkman Center for Internet and Society. Former New York City Mayor Michael Bloomberg penned the book’s foreword.

Based on the authors’ experiences and extensive research, The Responsive City explores topics including:

  • Building trust in the public sector and fostering a sustained, collective voice among communities;
  • Using data-smart governance to preempt and predict problems while improving quality of life;
  • Creating efficiencies and saving taxpayer money with digital tools; and
  • Spearheading these new approaches to government with innovative leadership.

From Big Data to Smart Data
by Fernando Iafrate

A pragmatic approach to Big Data by taking the reader on a journey between Big Data (what it is) and the Smart Data (what it is for).

Today’s decision making can be reached via information (related to the data), knowledge (related to people and processes), and timing (the capacity to decide, act and react at the right time). The huge increase in volume of data traffic, and its format (unstructured data such as blogs, logs, and video) generated by the “digitalization” of our world modifies radically our relationship to the space (in motion) and time, dimension and by capillarity, the enterprise vision of performance monitoring and optimization.


Smart Data
by James A. George, James A. Rodger

The authors advocate attention to smart data strategy as an organizing element of enterprise performance optimization.  They believe that “smart data” as a corporate priority could revolutionize government or commercial enterprise performance much like “six sigma” or “total quality” as organizing paradigms have done in the past.  This revolution has not yet taken place because data historically resides in the province of the information resources organization.  Solutions that render data smart are articulated in “technoid” terms versus the language of the board room.  While books such as Adaptive Information by Pollock and Hodgson ably describe the current state of the art, their necessarily technical tone is not conducive to corporate or agency wide qualitative change.

Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia
by Anthony M. Townsend

An unflinching look at the aspiring city-builders of our smart, mobile, connected future.

We live in a world defined by urbanization and digital ubiquity, where mobile broadband connections outnumber fixed ones, machines dominate a new “internet of things,” and more people live in cities than in the countryside.

In Smart Cities, urbanist and technology expert Anthony Townsend takes a broad historical look at the forces that have shaped the planning and design of cities and information technologies from the rise of the great industrial cities of the nineteenth century to the present. A century ago, the telegraph and the mechanical tabulator were used to tame cities of millions. Today, cellular networks and cloud computing tie together the complex choreography of mega-regions of tens of millions of people.

In response, cities worldwide are deploying technology to address both the timeless challenges of government and the mounting problems posed by human settlements of previously unimaginable size and complexity. In Chicago, GPS sensors on snow plows feed a real-time “plow tracker” map that everyone can access. In Zaragoza, Spain, a “citizen card” can get you on the free city-wide Wi-Fi network, unlock a bike share, check a book out of the library, and pay for your bus ride home. In New York, a guerrilla group of citizen-scientists installed sensors in local sewers to alert you when stormwater runoff overwhelms the system, dumping waste into local waterways.

As technology barons, entrepreneurs, mayors, and an emerging vanguard of civic hackers are trying to shape this new frontier, Smart Cities considers the motivations, aspirations, and shortcomings of them all while offering a new civics to guide our efforts as we build the future together, one click at a time.


Engaging Data
by Trinette Marquis

The demand for effective communication and marketing at the campus and district level has never been more urgent and educational agencies have limited resources that can be directed to these efforts. It is important that our time and energy are directed towards those communication and marketing strategies that will have the most significant impact. Through practical advice, useful examples, and detailed case studies, this book will provide a compelling case for using data to maximize school communication. Whether you are a seasoned PR pro or someone who has taken on communication as one of many duties, there will be at least one money-saving, impact-increasing idea that makes reading this book well worth your time.

Big Data
by Bernard Marr

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

Smart Data Pricing
by Carlee Joe-Wong, Sangtae Ha, Mung Chiang

A comprehensive text addressing the high demand for network, cloud, and content services through cutting-edge research on data pricing and business strategies

Smart Data Pricing tackles the timely issue of surging demand for network, cloud, and content services and corresponding innovations in pricing these services to benefit consumers, operators, and content providers. The pricing of data traffic and other services is central to the core challenges of network monetization, growth sustainability, and bridging the digital divide. In this book, experts from both academia and industry discuss all aspects of smart data pricing research and development, including economic analyses, system development, user behavior evaluation, and business strategies.

Smart Data Pricing:

• Presents the analysis of leading researchers from industry and academia surrounding the pricing of network services and content.

• Discusses current trends in mobile and wired data usage and their economic implications for content providers, network operators, end users, government regulators, and other players in the Internet ecosystem.

• Includes new concepts and background technical knowledge that will help researchers and managers effectively monetize their networks and improve user quality-of-experience.

• Provides cutting-edge research on business strategies and initiatives through a diverse collection of perspectives.

• Combines academic and industry expertise from multiple disciplines and business organizations.

The ideas and background of the technologies and economic principles discussed within these chapters are of real value to practitioners, researchers, and managers in identifying trends and deploying new pricing and network management technologies, and will help support managers in identifying new business directions and innovating solutions to challenging business problems.



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