Data driven design and construction 25 strategies for capturing analyzing and applying building data 1st Edition by Randy Deutsch ISBN 1118898703 978-1118898703

Data driven design and construction 25 strategies for capturing analyzing and applying building data 1st Edition by Randy Deutsch – Ebook PDF Instant Download/Delivery:  1118898703, 978-1118898703
Full download Data driven design and construction 25 strategies for capturing analyzing and applying building data 1st Edition after payment

Product details: 

ISBN 10:  978-1118898703

ISBN 13: 1118898703

Author:  Randy Deutsch 

“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: 

1. Introduction: Measuring the Immeasurable, Validating the Ineffable

2. Not One More Thing

3. Strategies for Practice

4. Benefits of Gathering, Analyzing, and Applying Building Data

5. Challenges of Gathering, Analyzing, and Applying Building Data

6. Strategy No. 1: Hone in on Key Information

7. Strategy No. 2: Demonstrating Works, Explaining Doesn’t

PART I: Why Data, Why Now?
8. Chapter 1: The Data Turn
9. Five Factors Leading to the Leveraging of Data and Industry Change
10. Strategy No. 3: Look Outside the Industry
11. Case Study Interview with Robert Yori
12. Strategy No. 4: Not Big Data, Smart Data
13. Case Study Interview with Sean D. Burke
14. Data versus Documents
15. Case Study Interview with Jonatan Schumacher
16. Chapter 2: A Data-Driven Design Approach for Buildings
17. Five Trends Leading to the Rise of Data in the AECO Industry
18. Strategy No. 5: Eight Questions to Ask for Data Preparedness
19. Case Study Interview with Zigmund Rubel
20. Data-Centric Approaches
21. Case Study Interview with Andrew Heumann
22. Strategy No. 6: Four Steps toward Making the Change to Be More Data-Centric
23. Strategy No. 7: Ask Good Questions
24. Case Study Interview with Jonathon Broughton
25. Chapter 3: Learning from Data
26. Five Factors Ensuring Data Preparedness
27. Training, Learning, and Working with Data
28. Case Study Interview with Brian Ringley
29. Strategy No. 8: Play with Data
30. Case Study Interview with Toru Hasegawa
31. Case Study Interview with Aimee Buccellato

PART II: Capturing, Analyzing, and Applying Building Data
32. Chapter 4: Capturing and Mining Project Data
33. Public Sources of Data
34. Case Study Interview with Ryan Mullenix
35. Private Data Sources
36. Case Study Interview with Sam Miller
37. Having a Data Collection Strategy
38. Strategy No. 9: Create a Data Collection Strategy
39. Case Study Interview with Gregory Janks
40. Strategy No. 10: First Steps to Becoming Data-Centric
41. Chapter 5: Analyzing Data
42. Analysis versus Analytics
43. Strategy No. 11: First Steps in Applying Data Analysis
44. Predictive Analytics
45. Case Study Interview with Mads Jensen
46. Strategy No. 12: Two Ways to Think about Energy Analysis
47. Strategy No. 13: Analysis for Sustainable Design
48. Case Study Interview with Chris Pyke, PhD
49. Strategy No. 14: How Analysis Informs Decision Making
50. Strategy No. 15: Start Simple, Technology Optional
51. Strategy No. 16: Leverage Data as Means to an End
52. Case Study Interview with Brendon Levitt
53. Dhour Case Study
54. Chapter 6: Applying Data
55. First Steps
56. Strategy No. 17: First Steps Before Applying Data
57. Strategy No. 18: Plan for the Data
58. Case Study Interview with Billie Faircloth
59. Data-Enabled Project Teams
60. Strategy No. 19: Should the Data Team Be Integrated or Stationed in the Corner?
61. Case Study Interview with Andrew Witt
62. Data-Intensive Roles
63. Strategy No. 20: Computer Scientist vs. Emerging Professional
64. Case Study Interview with Greig Paterson
65. Leadership in Data

PART III: What Data Means for You, Your Firm, Profession, and Industry
66. Chapter 7: Data in Construction and Operations
67. Data in Construction
68. Strategy No. 21: Construction-Related Data Questions
69. Case Study Interview with Tyler Goss
70. Responding to Change
71. Case Study Interview with Mani Golparvar-Fard, PhD
72. Linking Design, Construction, and Operations
73. Strategy No. 22: Extract and Transfer What Matters
74. Case Study Interview with Bill East, PhD
75. Standards and Interoperability
76. Case Study Interview with Greg Schleusner
77. Chapter 8: Data for Building Owners and End Users
78. Benefits to the Owner
79. Case Study Interview with Sukanya Paciorek
80. Direction to Work with Data
81. Case Study Interview with Peter Pellerzi
82. Strategy No. 23: With Data, the Heart of the Issue Is Culture
83. AECO Firms as Data Intermediaries
84. Case Study Interview with Brian Skripac
85. Data Visualization Helps Owners Make Decisions
86. Case Study: Data Viz Using Revit
87. Case Study Interview with Evelyn Lee
88. Data-Driven Design Driven by Owners
89. Chapter 9: Building a Case for Leveraging Data
90. Business Intelligence (BI) and Current-State Assessment
91. Fee and Profitability Data Case Study
92. Case Study Interview with David Fano and Dr. Daniel Davis
93. Strategy No. 24: Big Data in Practice
94. Security and Privacy
95. Case Study Interview with Mark Frisch, FAIA, LEED AP BD+C
96. Sharing Data
97. Case Study Interview with David Sawdey
98. Strategy No. 25: Use Data to Provide Better Service
99. Epilogue: The Future of Data in AECO
100. Our Data-Driven Future
101. The Future Is Already Here
102. Appendix
103. Experts, Innovators, and Thought Leaders Interviewed
104. Organizations and Universities Represented
105. The 25 Data-Driven Strategies
106. Software Mentioned
107. Recommended Reading

People also search for:

data driven design and construction pdf
    
what is data driven design
    
data driven design examples
    
what is data driven development
    
data-driven design architecture

Tags: Randy Deutsch, Data driven design, construction 25, capturing analyzing