How biopharma companies can stay insights-ready through M&A integration

Key takeaways:

Prioritize M&A decisions to protect momentum, build trust and scale growth

For a growing biopharma company, an acquisition is more than a transaction. It tests whether the organization can keep making confident commercial decisions while data, systems, metrics, teams and ways of working come together.

That pressure shows up quickly because the business doesn’t pause during the integration period. Patients still need access to therapies, healthcare professionals still need relevant information and commercial teams still need to understand market dynamics, prioritize opportunities and execute effectively.

At the same time, leaders have to make consequential calls about which systems to retain, which capabilities to combine and how to build a shared foundation for the next stage of growth.

Insights from the recent Biotech Leadership Exchange reveal several principles that can help organizations stay insights-ready through mergers and acquisitions (M&A), keep commercial transformation moving and balance integration goals with the needs of patients, healthcare professionals and the business.

One practical example came from Rigo Canal, VP commercial operations at Supernus Pharmaceuticals, who shared the experience of integrating and modernizing a data lake following an acquisition.

The takeaway wasn’t about moving data from one environment to another. It was that successful integration means building a common way for the combined organization to understand the business, align on priorities and turn information into action.

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Integration isn’t complete when the data has moved. It’s complete when teams can make decisions from a shared, trusted view of the business.
Rigo Canal
VP commercial operations at Supernus Pharmaceuticals
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6 ways to stay insights-ready through M&A integration

1. Keep commercial transformation moving while integration is underway

M&A creates an understandable focus on integration milestones: connecting systems, consolidating vendors, migrating data and retiring redundant technologies. Those activities matter, but they can’t become disconnected from the commercial transformation the organization was already pursuing.

This distinction helps leaders avoid treating every system or process as equally urgent. Critical reporting and decision support may need to continue with minimal disruption, while other capabilities can transition in phases. Some legacy processes need to be preserved temporarily; others are an opportunity to simplify the operating model rather than replicate it.

The goal isn’t to complete a technical consolidation as fast as possible. It’s to maintain momentum while deliberately building a stronger commercial capability.

2. Create shared data and metrics teams can trust

Periods of growth and integration put data under real pressure. The combined organization may inherit different source systems, business definitions, reporting logic and governance practices. Two teams may use the same term while calculating it differently or use different terms to describe the same business outcome.

Data can be technically available without being decision-ready. Building trust requires more than consolidating information in one location, so organizations need clear agreement on:

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Metrics
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Which metrics matter, and how they are defined and calculated
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Sources
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Which data sources are authoritative
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Governance
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Who owns each definition and data product
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Quality
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How quality will be monitored and exceptions resolved
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Access
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When information will be available for decision-making
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Shared metrics aren’t just a technical deliverable. They’re an organizational agreement.

When leadership, analytics teams and commercial functions work from consistent definitions, discussions can focus on what the data means and what action to take. Without that alignment, meetings become debates about whose report is correct, and teams start building parallel dashboards or offline analyses that further erode trust.

A trusted foundation gives the organization more than accurate reporting. It creates the confidence to make faster decisions at exactly the moment speed and clarity matter most.

3. Design decision-led M&A integration around business outcomes

A common integration trap is letting the current technology landscape dictate the future-state design. Teams start with an inventory of platforms and data pipelines, then work backward to figure out how the business will use them. A more durable approach starts with the decisions the organization has to make:

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Performance tracking
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What do leaders need to understand about commercial performance?
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Insights for different teams
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What information do field, market access, patient services and analytics teams require?
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Decision-making
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Which decisions need to happen faster?
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Friction points
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Where do patients or healthcare professionals experience friction?
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Business evolution
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Which insights will matter more as the portfolio, organization or market evolves?
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These questions organize the integration around business outcomes rather than technical components. They also provide a better way to balance competing priorities. Integration teams are often measured on migration dates, system consolidation and cost goals; business teams are focused on continuity, usability and timely insights; patients and healthcare professionals feel the consequences when organizational complexity slows execution or makes engagement less coordinated.

Designing around the decisions and stakeholders the organization serves helps to support integration goals, rather than compete with the broader mission of the business.

4. Balance immediate integration needs with long-term scalability

Acquisitions create legitimate pressure to move quickly. Leaders want to capture value from the transaction, eliminate unnecessary duplication and show progress. But the fastest short-term solution can become the most expensive long-term constraint.

Point-to-point integrations and temporary reporting workarounds may solve an immediate need, but they can also create dependencies that get harder to maintain as the organization adds products, indications, data sources or markets. A more scalable approach sequences the transformation in deliberate stages:

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Stabilize
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Protect critical business processes, reporting and access to information
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Harmonize
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Align data models, business rules, metrics, ownership and governance
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Scale
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Extend the shared foundation to new capabilities, advanced analytics, automation and AI
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This doesn’t mean designing every future capability on day one. It means building a modular foundation that can absorb change without forcing the organization to repeatedly rebuild its core infrastructure.

For companies navigating M&A, scalability should account for more than data volume: the future environment may need to support a broader portfolio, new teams, different operating models, additional partners and entirely new types of decisions. The goal isn’t to predict every future requirement. It’s to avoid making today’s integration decisions in ways that box out tomorrow’s opportunities.

5. Build data governance into the operating model

Governance is often treated as a formal workstream within an integration program: stand up a committee, document a set of definitions and assign owners. Those steps are useful, but they’re not sufficient. Trust is built through how governance operates every day.

Teams need practical mechanisms for resolving data questions, approving changes to business definitions, monitoring quality and communicating the impact of those changes. Ownership must be clear enough that issues don’t bounce endlessly between functions and vendors. Governance also needs to evolve as the business evolves, rather than staying tied to assumptions made at the start of the integration.

This matters even more in a multivendor environment. Different partners may manage data ingestion, reporting, analytics or operational processes, but the organization can’t let each partner create its own interpretation of the business. Vendors should operate within a common framework, with shared standards and clearly defined accountabilities.

The technology ecosystem may include multiple contributors, but the organization still needs one governed view of its most important data and metrics. When governance becomes part of the operating model, it does more than protect data quality. It improves collaboration, reduces rework and strengthens accountability across the combined organization.

6. Use accelerators to speed integration without losing business focus

ZAIDYN® accelerators, tools and platform capabilities help organizations connect data, governance, analytics and reporting during integration. These capabilities can reduce the effort required to build foundational components from scratch, help teams move faster, apply proven patterns and establish an environment that can expand as business needs change.

But an accelerator is only as valuable as the destination it accelerates toward. Technology alone can’t determine which business outcomes matter most, resolve differences among stakeholders or decide how transformation should be sequenced.

Those choices require a business-led approach that brings together strategy, data, technology, process and change. ZS starts with the decisions and outcomes the organization needs to enable, then works with leaders and users to understand the current environment, define the target state and identify where standard capabilities apply versus where tailored solutions are needed. Just as important, teams plan for how the capability will be governed, adopted and sustained after implementation.

The objective isn’t simply to deploy a tool. It’s to build a practical operating capability that people trust, use and can continue evolving.

What comes next: How to turn integration into a foundation for growth

Every company’s transaction, portfolio and operating model looks different, but many of the underlying questions are shared: How much should be integrated immediately? Where should teams preserve flexibility? How do leaders establish common metrics without slowing execution? How should responsibilities be divided between internal teams and external partners? How can organizations avoid overbuilding while still preparing for growth? There’s rarely one universal answer, which is why comparing notes with peers navigating the same tradeoffs, including perspectives from outside biopharma, helps leaders challenge assumptions and recognize risks they haven’t yet encountered themselves.

M&A will always introduce complexity. But when organizations use integration to build trusted data, shared metrics, scalable architecture and stronger ways of working, the transaction becomes more than a consolidation exercise. It becomes the foundation for a more connected, adaptable and insights-ready organization that can keep delivering for patients, healthcare professionals and the business as it grows.

See how ZAIDYN supports biopharma through integration and growth.

ZAIDYN for growing biotech

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