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Applying Data Accumulated Over 300 Years to Next-Gen Architectural Design
Technology Category
- Analytics & Modeling - Big Data Analytics
- Analytics & Modeling - Machine Learning
Applicable Industries
- Construction & Infrastructure
Applicable Functions
- Discrete Manufacturing
- Product Research & Development
Use Cases
- Predictive Maintenance
- Process Control & Optimization
- Digital Twin
Services
- Data Science Services
- System Integration
The Challenge
Takenaka Corporation, a major general contractor founded in 1610, has a wealth of architectural data spanning over 300 years. However, turning this vast amount of data into usable information for modern architectural design was a significant challenge. The data was stored in various formats and was difficult to manage and use effectively. The company wanted to use this data to expand the possibilities of architectural design and to integrate it with the thoughts and feelings of people today. The company was using Tableau, a Business Intelligence tool, to visualize this data, but it was not sufficient for their needs.
About The Customer
Takenaka Corporation is a long-established general contractor founded in 1610 by Tobei-Masataka Takenaka, a shrine and temple carpenter. The company was further established in Kobe by Masataka's 14th successor Touemon Takenaka in 1899. Takenaka Corporation specializes in all aspects of construction, from design to execution, and provides diverse solutions across the life cycles of towns and buildings. The company has a philosophy of “contributing to society by passing on the best works to future generations” and has a digital database storing information that stretches back over 300 years. The company aims to use data not only in the pursuit of efficiency via reduced manpower, costs and turnaround time, but also to expand the possibilities of architectural design.
The Solution
Takenaka Corporation decided to employ Alteryx, a data analytics platform, to overcome their challenges. Alteryx was able to centralize the management of data that was stored in various formats, significantly reducing man hours for database development, including training data for AI. The platform also allowed the integration of APIs and external data from social media, which added more value to architectural design. Alteryx was able to visualize architectural data that has been passed down for 300 years alongside the thoughts and feelings of the people of today, and to leverage these in high-added value next-gen architectural design. The company also integrated the automated machine learning platform Data Robot with Alteryx to predict building specifications and performance for new design projects.
Operational Impact
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