FACILITY DATAFICATION: Maximizing the Value of Your Building Portfolio with BIM

Transcription

1 Fall BIMForum Dallas, TX InterContinental Hotel October 9-10, 2014 FACILITY DATAFICATION: Maximizing the Value of Your Building Portfolio with BIM Dave Fano, CASE Colleen

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3 What if this floor is difficult to maintain properly? Which of the 11,1000 Starbucks need to replace it? Source:

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5 If Gap released a new display standard, which of the 3,263 stores need to update their front of house? Source:

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7 Westfield owns million sqft. How are they validating proximity based lease compliance? Source:

8 We ve been doing BIM

9 Available Building Information Companies needs to be able to navigate all levels of their BI BLDGS = DATA Portfolio Building Floor Space Object Properties of any real estate manager or owner Physical address for a single structure A single level within a building A volume that holds business activity A physical thing that sits with in a building

10 Building Information Examples Each has it s own value, but the aggregate has the most BLDGS = DATA Portfolio Building Floor Space Object Starbucks Gap > Westfield Chelsea Store 17 th + 5 th Store Lincoln Square Store > Main Level > Basement Loading Area Sales Area > Back of House Stock Door Display Table Flooring

11 Building Information Timeline The resolution of BI changes over time BLDGS = DATA Planning Design Construction Time Operations

12 Building Information Timeline The resolution of BI changes over time BLDGS = DATA Planning Design Construction Time Operations

13 Building Information Timeline BI has a compounded effect as a Building Portfolio grows BLDGS = DATA Project 1 Project 2 Project 3 Project 4 Project 5 Project 6 Project 7 Time

14 BLDG 3 BLDG 2 BLDG 1 Building Information Timeline BI has a compounded effect as a Building Portfolio grows BLDGS = DATA Project 1 Project 2 Project 3 Project 4 Project 5 Project 6 Project 7 Time

15 BLDG 3 BLDG 2 BLDG 1 Building Information Timeline BI has a compounded effect as a Building Portfolio grows BLDGS = DATA Project 1 Project 2 Project 3 Project 4 Project 5 Project 6 Project 7 Time

16 The real opportunity is leveraging building data to create and deliver building wisdom

17 Now, let s see it!

18 Data for Master Planning Single Source of Truth For Planning + Operations Client: Ennead Architects

19 Data for Space Planning Occupancy + Usage Data Visualization Client: Plastarc

20 Data for Predictive Planning User Path + Interaction Analysis Client: NBBJ

21 Data for Knowledge Insight Content Harvesting NBBJ

22 Data for Design Integration Design Application Data Translation Client: DIALOG

23 Data for Business Analysis Business Intelligence + Project Performance CASE

24 Data for Operations BIM-based Asset Tracking + Operations Database Client: Hoar Construction

25 Data for Delivery BIM Data Aggregation & Analysis Platform CASE

26 Data for Existing Buildings Automated Model Creation from DGN Client: Large Retailer

27 Data for Property Management Bi-Directional Integration from BIM to ERP Client: Mall Developer

28 Data for Portfolio Management Building Management Tools CASE

29 So, what s next?

30 Spatial Scanning Beyond Coordination + Clash Detection Mature Technology Source:

31 Spatial Usage Metrics BMS, SIMS, CAFM, Sensors + Controls Mature Technology

32 Occupancy Awareness Indoor Positioning Early stage technology Source:

33 Building APIs Open platforms for improving building performance Provocation

34 Building Information Graph Schema BLDGS = DATA

35 Data is a raw renewable resource Those that use it to deliver value will drive performance Source:

36 Thanks!

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