How StrongDM unified Customer, Product, and Revenue Data with Arka

Company

StrongDM is a leading infrastructure access platform used by high-growth technology companies like Chime and SoFi to manage secure access to critical systems. As StrongDM scaled across product, sales, and customer success, so did the volume, and fragmentation, of its data.

To keep pace with growth, StrongDM needed a faster way for non-technical teams to access real-time insights across the entire customer lifecycle.

They chose Arka, the AI-native analytics platform built for modern teams.

The Challenge: Sensitive, Siloed Data Slowing Down Customer, Product, and Revenue Teams

As StrongDM scaled, critical operational data became scattered across disparate systems — customer success data in one platform, product usage and telemetry in another, sales and pipeline data elsewhere, with support, marketing, and attribution split across their own tools. Each team had visibility into their own system, but there was no unified, real-time view of the customer across the company.

Compounding the issue, much of this data was highly sensitive — spanning authentication patterns, access logs, infrastructure usage, and customer operations. StrongDM preferred to keep this information strictly within their own walls, which meant that typical cloud-based AI and analytics tools weren't an option.

This fragmentation created several high-impact problems:

• Customer Success lacked a complete, real-time health view
• Product teams couldn't easily correlate feature adoption with retention, expansion, or churn
• Revenue and GTM leaders had no single source of truth
• Engineering became the bottleneck for even basic cross-functional insights

The Solution: Arka as StrongDM's AI-Native Analytics Layer

StrongDM deployed Arka as their unified intelligence layer across customer, product, and revenue data.

Arka connected directly to StrongDM's data warehouse, product telemetry stack, CRM, support platform, and marketing systems, unifying all of these previously disconnected sources into a single view.

With Arka, StrongDM's teams no longer needed to write SQL, build manual dashboards, export spreadsheets, or wait on engineering. Instead, teams could ask questions in natural language and instantly receive charts, trends, cohort analyses, and customer-level insights.

The Results

Within weeks of deployment, Arka became a new operating model for how StrongDM teams understand customers and drive growth.

• 75% reduction in time to insight across CS and Product
• CSMs gain a clear, end-to-end view of the customer lifecycle and product usage, enabling deeper, more impactful growth conversations
• Unlocked all GTM teams, namely CSM, Support and PM to self serve without the need to curate dashboards or SQL querying
• Ad-hoc analytics now available in minutes vs building custom dashboards that would have taken days/weeks
• Unified visibility across 5+ disconnected systems

Why Arka Was the Right Platform for StrongDM

StrongDM needed a platform that could unify sensitive data while keeping everything fully inside their own walls. Arka stood out because it uniquely combines:

• Self-hosted deployment that ensures all sensitive customer, product, and access data stays within StrongDM's infrastructure
• AI-native natural-language analytics that let teams ask complex questions without SQL
• Instant cross-source joins across product telemetry, CRM, support, and warehouse data
• Self-serve insights for non-technical teams, reducing reliance on engineering
• Real-time customer, product, and revenue intelligence

The Big Impact

"Before Arka, answering a simple customer health or expansion question took multiple tools and manual work. Now our customer success and product teams get real-time answers instantly — without waiting on engineering. It's transformed how we operate."

With Arka, StrongDM now operates with:

• A single source of truth across customer, product, and revenue
• Fully self-serve analytics for CS, Product, and GTM
• Faster, data-driven decisions at every level of the company
• Less operational drag on engineering and data teams
• Greater confidence in expansion, churn risk, and roadmap decisions