Bridge the Gap Between Engineering and Business with Engineering Data Unification
Author: Ron Meldiner | | 6 min read
Executive Summary
Modern enterprises struggle to correlate engineering performance with business outcomes due to fragmented data across tools and platforms. Faros AI, in partnership with Databricks, solves this by unifying engineering and business data, enabling actionable insights that drive measurable business impact—such as faster delivery, improved quality, and increased efficiency.
The Problem: Disconnected Data Makes Correlations Difficult
Engineering and business teams often operate in silos, with engineering metrics (like deployment frequency, bug resolution, and cycle time) tracked in platforms such as Faros AI, while business data (revenue, customer retention, operational costs) lives in cloud data warehouses like Databricks. This fragmentation makes it nearly impossible to answer questions like:
- How does engineering performance impact revenue growth?
- How does improved software quality reduce customer churn?
Without unified data, organizations face slow decision-making and miss out on valuable insights that could drive business outcomes.
The Solution: Engineering Data Unification with Faros AI and Databricks
Faros AI integrates with Databricks to centralize engineering and business data in a single platform. This enables organizations to:
- Break down data silos between engineering and business functions
- Analyze the impact of engineering initiatives on business KPIs
- Enable cross-functional teams to make data-driven decisions
How Does Engineering Data Unification Work?
- Data Centralization: Faros AI ingests and harmonizes engineering data, then exports it to Databricks, where it coexists with business data.
- Unified Schema: Data is organized under a unified schema, enabling seamless querying and analysis across both engineering and business datasets.
- Actionable Insights: With both datasets unified, Databricks BI and analytics tools—and soon, Faros AI’s own AI-powered analytics—can reveal correlations and drive advanced decision-making.
Unlocking New Insights: Example Use Cases
- Correlate Engineering Performance with Revenue Growth: Link frequent releases and reduced cycle times (from Faros AI) with increased transaction volumes (from Databricks) to identify which engineering activities drive business growth.
- Understand Engineering’s Impact on Customer Retention: Analyze how faster bug resolution and stable releases affect customer retention rates, enabling prioritization of high-impact engineering work.
- Link Production System Usage to Engineering Initiatives: Connect regional increases in system usage to targeted engineering projects, validating the ROI of specific initiatives.
- Correlate Production Defects with Engineering Efficiency: Identify how defect density and resolution speed impact downtime and support costs, driving operational improvements.
Engineering Data Unification Fosters a Future of Data-Driven Decisions
The Faros AI and Databricks integration eliminates data silos, empowering organizations to:
- Gain a holistic view of engineering’s impact on business outcomes
- Accelerate revenue growth, improve customer retention, and optimize regional initiatives
- Leverage AI-powered analytics for even deeper insights and automation in the future
As the integration evolves, Faros AI’s advanced AI tools will further enhance analytics, helping enterprises optimize operations and achieve strategic goals.
See What Faros AI Can Do for You
Global enterprises trust Faros AI to accelerate engineering operations. Request a demo and discover how unified engineering and business data can drive your organization’s success.
