DealFuel.io Unlocks Sales, Operational Visibility and Saves 80+ Hours Weekly

Challenge

DealFuel’s leadership faced four intertwined problems that limited scalability and trust in their insights:

1. Data Fragmentation & Manual Overhead

• Key data was scattered across CRMs, applicant tracking systems, finance tools, and sheets.

• Reporting required 100+ hours per week of manual reconciliation.

• Decisions relied on fragmented, outdated views of operations.

2. Demand Uncertainty

• Difficulty forecasting how many candidates to source per role, region, or vertical.

• Mismatched supply-demand patterns led to over-hiring or unfilled roles.

• The team couldn’t plan sourcing pipelines or capacity allocation confidently.

3. Attrition & Churn Risk

• Some placements dropped out or underperformed early.

• No mechanism existed to identify at-risk reps or predict client churn.

4. Operational Scaling Friction

• As the company expanded, manually reconciling data across teams became unsustainable.

• Infrastructure couldn’t scale to support growth or self-service analytics.

• Leadership lacked visibility into funnel efficiency, placement ROI, and team productivity.

“Our ops and finance teams were spending more time fixing data than using it. We couldn’t trust our numbers enough to scale.”
— Head of Data, DealFuel.io

Solution

Aztela led a data transformation initiative to turn DealFuel’s fragmented data environment into a scalable, governed decision platform.

1. Data Strategy Assessment & Roadmap

• Conducted a 3-week data strategy assessment to identify root causes and high-ROI initiatives.

• Collaborated with finance, ops, and data leads to standardize 10+ core business metrics (revenue per placement, time-to-fill, churn rate, sourcing efficiency).

• Delivered a 12-month data roadmap prioritizing governance, automation, and AI readiness.

2. Scalable Data Infrastructure Implementation

• Deployed a modern data stack:

  • Custom Python ETL scripts to extract data from CRMs and finance systems.

  • Airflow for orchestration and scheduling.

  • BigQuery as the central data warehouse.

  • Looker for analytics and visualization.

  • Hetzner server for managing and storing collection scripts.

• Built modular data models for candidate funnel, client outcomes, and revenue attribution.

3. Supply & Demand Intelligence Layer

• Developed dashboards showing real-time demand per vertical, region, and role level.

• Surfaced sourcing gaps and overcapacity to optimize resource allocation.

• Enabled data-driven decisioning for sourcing strategy and client intake.

4. Attrition & Performance Analytics

• Created placement performance and attrition heatmaps to flag underperforming or at-risk placements early.

• Implemented automated alerts for performance dips, churn probability, and client delivery gaps.

5. Governance & Data Enablement

• Introduced governance practices and KPI ownership to ensure consistent definitions across departments.

• Deployed self-service analytics for execs and department heads — no more Slack pings for reports.

• Ensured 100% data adoption via training, playbooks, and metric documentation.

Business Impact

• $10M+ in incremental sales unlocked by surfacing performance and pipeline insights.

• 80+ hours per week saved through automated data extraction and reporting.

• 2x client role volume scalability without adding headcount.

• Consistent quota attainment via visibility into rep productivity and conversion bottlenecks.

• Full data trust and adoption across finance, ops, and executive teams.

• AI readiness unlocked through structured, governed data foundation.

Technology Stack

Key Takeaways

• Standardized metrics and definitions created a single source of truth across departments.

• Automated data pipelines freed up 80+ hours weekly for strategic work.

• Real-time visibility improved forecasting accuracy and sourcing efficiency.

• Governance and data strategy became core to operational scalability.

• DealFuel.io’s leadership now uses data as a strategic asset, not a reporting burden.

Client Quote

“Aztela helped us evolve from gut-driven to insight-driven.
For the first time, every decision — from sourcing to scaling — is backed by unified, reliable data.”
— CEO, DealFuel.io