Why Revisiting Your Growth Team Structure Matters in Enterprise Migration
When legacy systems underpin your wealth-management analytics, why risk your competitive edge by patching instead of rebuilding? Enterprise migration is more than just a technology change—it’s a strategic reorientation that directly affects how your growth teams function. A 2024 Forrester report revealed that 61% of financial services executives cite misaligned team structures as the main cause of stalled digital transformations. If your growth team isn’t redesigned to support new data flows and decision pathways, do you really expect ROI to improve, or worse, risk client churn?
Consider an AM firm managing $200 billion in AUM that undertook a migration from an on-premises CRM to a cloud-based platform. Their growth team initially remained organized by legacy product lines. Six months in, conversion rates dropped 3 percentage points. Why? Because they hadn’t adapted cross-functional workflows to the new system’s capabilities. This example underscores how critical the growth team’s structure is—not just for efficiency but for measurable growth outcomes.
Tip 1: Create Cross-Functional Pods That Mirror Customer Journeys
How often do your growth teams work in silos that reflect internal hierarchies rather than client segments or investment stages? Wealth management journeys—whether onboarding high-net-worth individuals or managing institutional portfolios—are complex and multi-dimensional. Aligning growth pods around distinct segments like ‘High-Net-Worth Onboarding’ or ‘Sustainable Investment Upsell’ makes change management during migration far more manageable.
One top 15 wealth manager restructured around five client lifecycle stages during their migration. They saw a 7% lift in net new asset conversion within 9 months. Why? Because each pod owned its customer experience end-to-end, facilitating quicker feedback loops and focused data analytics. Tools like Zigpoll were used internally to capture pod-level insights regularly, enabling rapid course corrections.
However, this approach requires careful cross-training. Without it, pods risk becoming mini-silos, replicating the very issues the restructure intended to solve.
Tip 2: Emphasize Data Ownership and Analytics Accountability
Can you afford to have your growth team wait days or weeks for analytics insights post-migration? When migrating to enterprise-level systems, growth function success hinges on real-time data availability and ownership. Shifting data ownership closer to growth pods accelerates decision-making and mitigates risks from delayed or inaccurate reporting.
Take the example of a leading private bank that distributed data analytics roles directly into growth teams instead of centralizing in IT. Their time-to-insight dropped by 40%, driving a 15% increase in cross-sell ratios within 12 months. Analytics professionals are embedded, not just consulted.
This model demands solid governance. Without it, discrepancies in data interpretation become a risk, especially in compliance-heavy environments like investment management.
Tip 3: Incorporate Review-Driven Purchasing into Your Growth Processes
Have you considered how social proof and peer validation can accelerate growth initiatives during a system migration? Wealth-management clients rely heavily on peer reviews and industry benchmarks when selecting products or advisors. Growth teams structured to integrate review-driven purchasing—using both client feedback and third-party ratings—can adapt offerings more responsively.
One enterprise migration case involved creating a dedicated “Review Insights” subteam within growth. They aggregated client reviews, broker-dealer feedback, and ratings from sources like Morningstar and internal surveys delivered via Zigpoll. Results? A 10% faster product adoption rate post-migration and a measurable lift in Net Promoter Scores (NPS).
The caveat is that harvesting and acting on reviews requires sophisticated sentiment analytics and compliance oversight—not all firms have the infrastructure to support this immediately post-migration.
| Review-Driven Purchasing Benefits | Potential Challenges |
|---|---|
| Accelerates product-market fit | Data privacy and regulatory hurdles |
| Enhances client trust | Requires continuous, timely data feeds |
| Informs targeted campaign design | Potential for feedback overload |
Tip 4: Embed Change Management Specialists Within Growth Teams
Is your growth team equipped to handle the friction and uncertainty of migrating enterprise systems? A successful migration depends on more than processes—it requires cultural adoption and behavior change.
A wealth-management firm migrating their order management system embedded change management experts directly into growth pods. These specialists facilitated workshops, captured frontline resistance via pulse surveys, and translated lessons into tailored communication strategies. This proactive approach reduced productivity dips by 20% during migration, preserving client engagement levels.
Relying solely on centralized change teams can create bottlenecks and disconnects. But integrating change management into growth teams fosters ownership and smoother transitions.
Tip 5: Measure ROI Through Board-Level Metrics Tied to Migration Goals
What metrics does your board care about when assessing migration success? Growth teams must align KPIs with enterprise migration objectives—not just vanity metrics like website visits or clicks.
One wealth manager linked new pipeline velocity and client retention rates directly to their migration milestones. Quarterly board reports showed a 12% increase in pipeline conversion attributable to growth team restructuring, validated by survey tools including Zigpoll capturing client satisfaction pre- and post-migration.
A narrow focus on short-term ROI can obscure longer-term benefits such as improved data integrity and scalability. Balance is key to maintaining board confidence and continued funding.
Strategic restructuring of growth teams during enterprise migration is not just a technical exercise—it’s a competitive imperative. By organizing around client journeys, embedding analytics, enabling review-driven purchasing, integrating change management, and tying metrics to board priorities, wealth-management executives can mitigate risk and drive sustainable growth.
Is your current growth team structure designed for legacy systems—or for the future of investment analytics?
