Building a Unified Analytics Ecosystem

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Organizations are generating more data than at any point in healthcare’s history. However, it is a challenge to make sense of that data, align teams around a common truth, and act on insights at scale.

Despite billions invested in data warehouses, dashboards, point solutions, and modernization initiatives, the industry still struggles with the same foundational question: Why is it so hard to get the right data to the right person at the right time?

To understand this gap and what it truly takes to close it, we sat down with Ashish Singh, President of AI Platform at Innovaccer, to discuss why fragmentation remains healthcare’s hidden tax, what a unified analytics ecosystem actually looks like, and how platforms like Innovaccer’s Gravity are helping health systems move beyond disconnected tools and build the intelligence infrastructure they need for the next decade.

Below is our full conversation.

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Q: Everyone talks about data being healthcare’s most valuable asset. But why are health systems still struggling to use it effectively?

Ashish Singh:

Most health systems have a data fragmentation problem. Clinical data sits in one silo, operational data in another, financial data somewhere else, and each team builds its own version of the truth. By the time an executive asks a seemingly simple question like, “What’s driving our throughput issues?”, the answers differ based on who pulled the report. This makes it incredibly difficult to run a modern health system with precision. What organizations need now is not more dashboards, but a unified analytics ecosystem that connects these disconnected parts. With the Gravity platform, we’ve built the foundation for that unified environment.

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Q: What exactly is a unified analytics ecosystem?

Ashish Singh:‍

Think of it as moving from a collection of tools to a living, interconnected system. It’s an architecture where data flows consistently, definitions don’t change from department to department, and insights are built on shared foundations rather than one-off efforts. But it’s also an operating model. It brings together people, processes, and technology so the organization stops reinventing the wheel for every analytics question. Instead of each team building its own pipelines, logic, and dashboards, the ecosystem allows all of them to work from the same, trusted source of truth. Gravity was designed specifically to support this shift: governed pipelines, reusable logic, and a unified data model that every application inherits.

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Q: Many leaders think they already have this because they’ve invested in warehouses, dashboards, or an enterprise platform. What makes a true ecosystem different?

Ashish Singh:‍

A warehouse or dashboard is a component. An ecosystem is the environment that makes those components function cohesively. In a unified ecosystem, data pipelines are reusable, data models are governed, and new analytics don’t start from scratch - they inherit logic from what already exists. More importantly, insights don’t stop at the analytics layer. They flow all the way into clinical and operational workflows. A care manager doesn’t need to open a separate dashboard to know a patient is at rising-risk; that intelligence shows up directly inside the system where they work. That’s the difference: an ecosystem operationalizes intelligence. Gravity brings this to life by placing unified intelligence directly into EHRs, care management apps, and operational systems.

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Q: What does this look like in real-world transformation?

Ashish Singh:‍

When organizations adopt a unified ecosystem, patterns and opportunities that were once hidden suddenly become visible. A financial performance issue can be tied directly to clinical variation and operational bottlenecks because all those lenses finally connect. Leaders get a full 360-degree view instead of navigating blind spots. For care teams, this means timely, patient-level insights that improve coordination. For operational teams, it means predictive staffing and resource optimization. And for executives, it means understanding the root causes of margin pressure with far greater accuracy. The impact compounds across use cases: better quality, lower readmissions, improved throughput, reduced waste, and meaningful financial gains. With Gravity as the backbone, organizations can scale these insights rapidly.

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Q: Technology is one part of the equation. What about the cultural side?

Ashish Singh:‍

Culture is the true accelerant. A unified ecosystem requires teams to share definitions, adopt governance, align incentives, and shift from protecting departmental dashboards to building enterprise capabilities. The best-performing organizations don’t treat analytics as a project with a start and end date. They cultivate it as a core competency. Analysts evolve from report builders to strategic partners. Operational leaders collaborate during design, not after deployment. And leadership invests in structures - centers of excellence, working groups, communities of practice - that keep knowledge flowing across the enterprise. Over time, the organization becomes fluent in data, and decisions become more consistent, more rigorous, and more impactful. Gravity helps reinforce this cultural evolution by giving teams a shared language and shared foundation.

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Q: What does the future look like for health systems that commit to this ecosystem approach?

Ashish Singh:‍

They become intelligence-driven rather than intuition-driven. Instead of solving problems in isolation, they solve them with proper clinical, operational and financial context. Instead of spending six months building a new analytics solution, they deploy it in weeks because the ecosystem already has the foundations in place. And instead of relying on a handful of experts, they empower entire teams to act with clarity. In a landscape where margins are thin and complexity is rising, a unified analytics ecosystem becomes more than an IT strategy. It becomes the strategic engine that drives performance, resilience, and better care. Gravity is built to be that engine.

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Q: If you had to give health system leaders one piece of advice, what would it be?

Ashish Singh:

‍ Stop thinking of analytics as a collection of tools and start seeing it as an environment you cultivate. When you build a unified ecosystem, every insight strengthens the next one. Every improvement scales. Every team becomes smarter. And the organization gains the intelligence it needs to thrive in one of the most demanding eras healthcare has ever faced. Start with governance, build shared definitions, and invest in platforms like Gravity that unify, not just store, your data. That’s how you unlock real transformation.

Want to build a unified analytics ecosystem? Book a demo for Gravity now.