An unusual place to find innovative architecture, engineering, and construction industry news, Techcrunch.com introduced me toBerkeley, CA based Vernox Labs, a Y-Combinator backed company which recently released an interesting data mining product for the industry. The tool shows great promise to uncover, predict, and streamline design and construction issues for complex projects. I have no connection to the company but have great interest in all technologies which help me build.
Vernox Labs product is, essentially, a private searchable
AEC industry database. One can see parallels here with the recent emergence of
private medical databases for doctors. The article reports the company has
spent resources collecting and cataloging all sorts of reports and emails from
the AEC industry and thereafter analyzes it for trends. Perhaps the value of
such a database to the AEC industry is best shown with an example: While a project
is in the design phase one could query the database about a specific product or
material. The system would then return information about the product's
performance and installation, including any issues which might cause delays.
The application of big data and data mining to the AEC
industry is complex, probably worth its own seminar or university degree. But
needless to say I can already identify a couple variables which could affect
the usefulness of Vernox Labs' tool which are unknown to me as of this writing.
For one, the size of the database is of paramount importance. A large
comprehensive database could actually be quite useful. But a skimpy database
would be next to useless, returning only shallow results for any one query.
Traditionally the AEC industry has been very protective of their internal
communications and data because it can have such a large impact on construction
pricing, fee structures, real estate and future projects so it will be
interesting to see where Vernox Labs got their data from. The other dominating
factor is the analysis and searchability of the data. Well structured, one
could always hope to find what they are looking for and uncover trends which
are not readily available without using mathematics. On the other hand,
unstructured data might as well be a spreadsheet full of random numbers for how
useful it is.
A final overriding factor, which dips into the realm of
subjectivity, is one's ability to ask pertinent questions of the data. Good
data analysis and getting good results from the data really is more art than
science and if one can look at their data and ask really creative questions of
it sometimes very valuable conclusions come tumbling out. The AEC industry has
long been waiting for the application of big data to construction and Vernox
Lab's seems to be worth watching for further details.