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Overall, the People First pilot lasted a year and a half (from the definition of needs and the platform to development, testing, and roll-out). In the initial phase of the pilot, the team was using a code-based tool, but they switched gears after four months when they encountered difficulties with putting projects into production and with collaborating with business teams, since the technology was only accessible to users with coding knowledge.
From there, the team discovered and used Dataiku to facilitate several challenges across the project lifecycle, including the need for:
- A tool that saves time, speeding up the day-to-day tasks associated with data ingestion, wrangling, modeling, and more.
- A platform that was collaborative, allowing data scientists to work together in the language of their choice plus allowing results to be shared with business teams.
- Connection to the Azure regional and group data lakes.
- Autonomy in operationalizing the project (including pushing the initial project and any updates or enhancements to production), meaning no support needed from Webhelp’s IT team.
Today, Dataiku powers the People First platform, and the team uses it for everything from data management (including connecting to multiple data sources) to model processing (creating and processing the scoring agent) on the development side.
Plus, because Dataiku supports the building of white-box models, it enables the team to explain the key factors to the business, making the results more factual. It also allows data scientists to challenge the model with the local HR team’s operational vision. Ultimately, the People First platform displays key indicators of each collaborator via their Employee Page so the operation managers can prepare their interview before meeting with the person.