Expectations to implementation of big data – Use of IDDS to explore multiple views of implementation

Abstract

Implementation of Big Data in organisations is often connected to high expectations and investment in advanced technology and methods for analysis. This case study explores expectations for and perspectives on the implementation of Big Data in the Norwegian Building Authority (DiBK), to support the development and interpretation of regulations. The study is based on semi-structured interviews with stakeholders in DiBK and an exploration of a pilot study by an external consultancy company. The theoretical framework for analysis is based on Integrated Design and Delivery Solution (IDDS), which focuses on: 1) integrated processes, 2) collaboration with people, and 3) interoperable technologies. The outcome shows variations in the interpretation of Big Data. This understanding is significant in relation to support in reuse of existing analyse, participation new projects and trust in outcome of Big Data based analyses. The expectations to outcome of Big Data analysis should be related to improved understanding of the complex mechanisms between the design of regulations and experiences with various technical building solutions, rather than trying to answer detailed questions on the relation between a single type of building damage and a specific paragraph in the regulations. The development of a road map for the continuous implementation and involvement of Big Data should be preferred, instead of the traditional master project implementation strategy. Increased use of Building Information Modelling (BIM) and sensors based on the Internet of things (IoT) can enable the increased and continuous capture of data into a joint fact based foundation. The use of Big Data has the potential to support changes to the processes of how regulations are drafted and how public regulations can interact with marked-driven aspects that have influence on quality of buildings and building products.