Clip Case Study: HR Data Automation on Databricks

About the Company

Clip is the leading commerce and digital payments platform that is empowering businesses in Mexico to engage and transact with their consumers more effectively through innovative technologies, best-in-class customer service, and the ability to accept all digital payment methods.

Executive Summary

MMutt Data partnered with Clip's People team to deliver end-to-end HR data automation — built on a secure, scalable Data Lakehouse on Databricks. By automating BambooHR report generation, enabling daily updates, and implementing robust data governance, the team drastically reduced manual workloads and gained reliable, time-sensitive insights.

Introduction

For Clip's People team, better decisions start with better data, but manual reporting, fragmented tools, and scattered sources were holding them back. This is a story about HR data automation: replacing spreadsheet-driven reporting with a secure, automated data platform that the team could actually trust.

The Challenge

Clip’s People team depended on a manual process to generate HR reports from systems like BambooHR, Eloomi, Slack, and others. These tasks involved downloading reports, merging historical data in Google Sheets, and building dashboards and advanced analytics analyses. The workflow included:

• Configuring exports via each tool’s UI (BambooHR, Eloomi, etc.)
• Downloading and combining CSVs with historical files
• Manually calculating metrics in Google Sheets
• Using Looker Studio for dashboards

This approach led to: - Errors and diminished trust due to inconsistent reporting. - Poor scalability, with manual effort increasing as data demands grew. - Performance bottlenecks due to limitations in Google Sheets (e.g., memory, cell limits, lack of validation).

To overcome these inefficiencies, Clip engaged Muttdata to automate operations and develop a secure Data Lake.

The Solution: A Secure Data Platform Implementation on Databricks

Mutt Data delivered a secure, modular, and automated data platform implementation tailored to the People team's needs a Data Lakehouse hosted on Databricks. The platform follows Clip's enterprise data governance standards including advanced access controls, encryption, and monitoring for unauthorized access. For a People team handling sensitive employee data, governance wasn't a nice-to-have; it was the foundation.

Key outcomes included:

• Full automation of BambooHR data ingestion and report generation.
• Daily updates, replacing weekly and monthly manual processes.
• Consolidated historical data into structured, dashboard-ready tables.

Benefits realized:

• Full automation of BambooHR data ingestion and report generation.
• Time savings through elimination of repetitive tasks.
• Improved data freshness and reliability.
• Greater data trust among stakeholders.
• Enhanced visibility into historical trends and newly accessible metrics.
• People Analytics as a single source of truth.

Additionally, Muttdata assessed the team’s tech stack and automation maturity, delivering a growth roadmap. Integration with Databricks allows direct support from the Data Engineering team and sets the stage for further automation—including Eloomi and other systems integration and potential payroll process automation.

Impact

The implementation of the Data Lakehouse was a transformative milestone. What was once a manual, error-prone reporting process became an automated, scalable system. With centralized, secure data and daily updates, the team now focuses on strategic analysis rather than data preparation. Improved collaboration with internal data teams and easier future integrations further underscore the value of this initiative.

The Results

Why People Analytics Needs Its Own Data Strategy

HR data is uniquely sensitive — it covers compensation, performance, and personal information that demand the highest governance standards. Yet it's often the last function to get proper data infrastructure, left running on spreadsheets long after sales and finance have modernized. That mismatch is exactly why HR data automation matters: it brings People teams the same reliability, security, and speed the rest of the business already expects — without asking them to become data engineers. The result is a single source of truth for people metrics, and a foundation for advanced analytics like churn prediction, diversity tracking, and recruitment optimization.

By centralizing data, automating ingestion, and enforcing strong data governance, Muttdata enabled Clip's People team to move from manual workflows to a data-driven, strategic function proof that HR data automation, built on a modern data platform, frees people to focus on people, not spreadsheets.