Challenges
- Need to predict project success accurately and early to allow time for corrective action
- 200+ attributes in the database to consider
- Missing values, errors, and inconsistencies in data entered manually by project managers
Our client is a USD 3 Bn US-based construction company specializing in highly complex and sustainable construction projects.
The client wanted to develop an analytics solution to predict and manage the success of new and ongoing projects along two dimensions: budget and schedule, across different stages, starting from bidding, planning, pre-construction, and construction.
Developed an Early Warning System identifying risky projects in the portfolio for the business to take action
The model sent alerts from as early as Month #1 of mobilization/inception of the project
The model updated predictions every month on a rolling basis
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