“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.

Table of Contents:
Foreword xiii James Timberlake, FAIA, Partner, KieranTimberlake Preface xv Acknowledgments xxiii Introduction: Measuring the Immeasurable, Validating the Ineffable 1 Not One More Thing 1 Strategies for Practice 2 Benefits of Gathering, Analyzing, and Applying Building Data 4 Challenges of Gathering, Analyzing, and Applying Building Data 13 Strategy No. 1: Hone in on Key Information 17 Strategy No. 2: Demonstrating Works, Explaining Doesn’t 20 PART I Why Data, Why Now? 27 Chapter 1 The Data Turn 29 Five Factors Leading to the Leveraging of Data and Industry Change 29 Strategy No. 3: Look Outside the Industry 32 Case Study Interview with Robert Yori 37 Strategy No. 4: Not Big Data, Smart Data 54 Case Study Interview with Sean D. Burke 55 Data versus Documents 61 Case Study Interview with Jonatan Schumacher 63 Chapter 2 A Data -Driven Design Approach for Buildings 71 Five Trends Leading to the Rise of Data in the AECO Industry 71 Strategy No. 5: Eight Questions to Ask for Data Preparedness 73 Case Study Interview with Zigmund Rubel 75 Data-Centric Approaches 84 Case Study Interview with Andrew Heumann 86 Strategy No. 6: Four Steps toward Making the Change to Be More Data-Centric 87 Strategy No. 7: Ask Good Questions 88 Case Study Interview with Jonathon Broughton 96 Chapter 3 Learning from Data 107 Five Factors Ensuring Data Preparedness 107 Training, Learning, and Working with Data 110 Case Study Interview with Brian Ringley 113 Strategy No. 8: Play with Data 123 Case Study Interview with Toru Hasegawa 126 Case Study Interview with Aimee Buccellato 134 PART II Capturing, Analyzing, and Applying Building Data 141 Chapter 4 Capturing and Mining Project Data 143 Public Sources of Data 143 Case Study Interview with Ryan Mullenix 145 Private Data Sources 153 Case Study Interview with Sam Miller 157 Having a Data Collection Strategy 169 Strategy No. 9: Create a Data Collection Strategy 169 Case Study Interview with Gregory Janks 170 Strategy No. 10: First Steps to Becoming Data-Centric 174 Chapter 5 Analyzing Data 179 Analysis versus Analytics 179 Strategy No. 11: First Steps in Applying Data Analysis 180 Predictive Analytics 180 Case Study Interview with Mads Jensen 182 Strategy No. 12: Two Ways to Think about Energy Analysis 191 Strategy No. 13: Analysis for Sustainable Design 192 Case Study Interview with Chris Pyke, PhD 198 Strategy No. 14: How Analysis Informs Decision Making 201 Strategy No. 15: Start Simple, Technology Optional 202 Strategy No. 16: Leverage Data as Means to an End 203 Case Study Interview with Brendon Levitt 203 Dhour Case Study 209 Chapter 6 Applying Data 213 First Steps 213 Strategy No. 17: First Steps Before Applying Data 214 Strategy No. 18: Plan for the Data 215 Case Study Interview with Billie Faircloth 216 Data-Enabled Project Teams 222 Strategy No. 19: Should the Data Team Be Integrated or Stationed in the Corner? 225 Case Study Interview with Andrew Witt 226 Data-Intensive Roles 230 Strategy No. 20: Computer Scientist vs. Emerging Professional 231 Case Study Interview with Greig Paterson 235 Leadership in Data 238 PART III What Data Means for You, Your Firm, Profession, and Industry 241 Chapter 7 Data in Construction and Operations 243 Data in Construction 244 Strategy No. 21: Construction-Related Data Questions 245 Case Study Interview with Tyler Goss 246 Responding to Change 250 Case Study Interview with Mani Golparvar-Fard, PhD 250 Linking Design, Construction, and Operations 259 Strategy No. 22: Extract and Transfer What Matters 261 Case Study Interview with Bill East, PhD 262 Standards and Interoperability 266 Case Study Interview with Greg Schleusner 267 Chapter 8 Data for Building Owners and End Users 273 Benefits to the Owner 273 Case Study Interview with Sukanya Paciorek 274 Direction to Work with Data 277 Case Study Interview with Peter Pellerzi 279 Strategy No. 23: with Data, the Heart of the Issue Is Culture 280 AECO Firms as Data Intermediaries 281 Case Study Interview with Brian Skripac 282 Data Visualization Helps Owners Make Decisions 285 Case Study: Data Viz Using Revit 286 Case Study Interview with Evelyn Lee 293 Data-Driven Design Driven by Owners 296 Chapter 9 Building a Case for Leveraging Data 297 Business Intelligence (BI) and Current-State Assessment 297 Fee and Profitability Data Case Study 298 Case Study Interview with David Fano and Dr. Daniel Davis 300 Strategy No. 24: Big Data in Practice 301 Security and Privacy 310 Case Study Interview with Mark Frisch, FAIA, LEED AP BD+C 312 Sharing Data 324 Case Study Interview with David Sawdey 325 Strategy No. 25: Use Data to Provide Better Service 326 Epilogue The Future Of Data In AEC 331 Our Data-Driven Future 331 The Future Is Already Here 333 Appendix 337 Experts, Innovators, and Thought Leaders Interviewed 337 Organizations and Universities Represented 338 The 25 Data-Driven Strategies 339 Software Mentioned 339 Recommended Reading 341 Index 343