Why Data Quality Is Becoming a Distribution Differentiator for Asset Managers

Demand Ignition works with asset managers and wealth managers, particularly smaller, resource-constrained firms with lean intermediary distribution teams, to get more value out of the third-party data and technology they have already purchased. That mission just got a fresh data point behind it. FE fundinfo's 2026 Asset Managers Report, based on interviews with 200 senior asset management leaders, found that 65% say fragmented fund data is preventing operational efficiency, and 69% say the speed and accuracy of that data are becoming increasingly important when winning and retaining distribution partners. Data quality for asset managers has quietly moved out of the back office and into the sales conversation.

Why Does Data Quality Affect Distribution Performance?

Fragmented, duplicated, or stale data breaks the systems wholesalers and internal sales desks rely on to know who is actively buying, who has gone quiet, and which advisor relationships deserve the next call. A sales team calling on wrong or duplicated records is not understaffed, it is misinformed. The same FE fundinfo research found that 64% of asset managers believe AI will only deliver meaningful value once firms improve the quality and structure of their underlying data, ahead of cybersecurity concerns and skills shortages as a stated barrier.

What Is Actually Breaking Inside Data Asset Managers Already Own?

Ignites reported in July that Allspring Global Investments moved its U.S. intermediary distribution data onto a single platform after concluding, in the words of COO Allegra Heyligers, that the firm's problem "wasn't a lack of data but rather the fragmentation of the data," with advisor, distributor, and sales activity spread across multiple systems. SS&C's Lee Kowarski described the fix as a "decoder ring" that standardizes distribution data before it reaches sales reporting. The pattern shows up at smaller firms too. One mid-size asset manager Demand Ignition works with recently found a duplicated trade feed had been inflating a single relationship's reported assets by tens of millions of dollars for months before anyone noticed. Nobody had bad intentions. Nobody was watching for it, because nobody owned it.

How Should Resource-Constrained Distribution Teams Prioritize Data Quality Work?

Most smaller managers already pay for distribution intelligence, CRM enrichment, or distributor data feeds. The fix rarely requires a new purchase. It requires someone assigned to own matching, deduplication, and reconciliation across those existing sources on a regular cadence, not just at migration time. On the wealth platform side, BetaNXT's newly expanded DataXChange, built on Snowflake, points to where the market is heading: a governed, single source of truth pulled from internal, partner, and third-party data rather than another disconnected feed. Asset managers do not need that scale of build to apply the same principle. Buying more data does not fix a firm that cannot trust the data it already has.

Demand Ignition helps asset managers and wealth managers put ownership, process, and accountability around the data and technology they already own, so it drives sales instead of quietly undermining it. Learn more about how we work with distribution teams at https://www.demandignition.com/services.

Key Takeaways

• 65% of asset managers say fragmented fund data is hurting operational efficiency, and 69% say data speed and accuracy now influence which firms win and keep distribution partners, per FE fundinfo's 2026 Asset Managers Report.
• 64% of asset managers say AI will not deliver real value until the underlying data is cleaned up and structured first, ahead of cybersecurity or skills concerns.
• Fixing distribution data quality is usually a process and ownership problem, not a new-vendor problem: someone has to own matching, deduplication, and reconciliation on a recurring basis.