Session 1 · 14:00 — 15:00 · arrive from 13:30
IDEN.ETF: Client and Sales Attribution for UCITS ETFs
A shared, member-owned approach to ETF distribution data. Contribute once, see your own book.
About this session
The problem is familiar to anyone running an ETF range. A mutual fund manager has a transfer-agency register and broadly knows its book of clients. Run the same strategy as a UCITS ETF and attribution is opaque. Units settle in street name through authorised participants, market makers, CSDs and platforms, so the issuer sees creations and redemptions at the AP, not who actually holds the fund. For the fastest-growing part of most ranges, distribution intelligence is obscured by construction.
No single firm can see the whole picture. Collectively, the industry can. Members submit their UCITS ETF positions once, in the published IDEN Data Standard, and receive back, for their own funds only, who holds them, attributed to line of business. The work of collecting the data is shared; what each firm does with its own view is not.
Why attend
- Be a leading voice in positive industry transformation. Help shape the standard rather than adopt it later. The field set, cadence and attribution grain are still open, and the firms in the room decide them.
- See a working design, not a pitch. The session walks a real solution and a Phase 1 pilot, and flags the decisions still open.
- Understand data confidentiality. Strict separation means each issuer sees only their own investors' data, and access is reciprocal, never a sale of records.
How it works
Contribute once, get stewarded separation, on reciprocal terms.
- Contribute once. A single standardised submission for all third-party issuers, not a survey form per issuer.
- Strict separation. IDEN Steward splits the pool so each issuer sees only their own investors' data, mapped to their own sales files.
- Reciprocal access. You gain visibility into your funds because you contribute the visibility you hold into others'. Data is exchanged on mutual terms, never sold per record.
Agenda
Running order and times to be confirmed.
- The look-through problem, stated precisely: what an ETF issuer can and cannot see today.
- Re-cap of IDEN member survey re ETF data for client attribution: confidence, coverage and data-quality priorities.
- The direct-collect model and its costs, and why repeated bilateral requests burn relationship capital.
- POC scope ratification: the initial field set, confirmed data contributors and recipients, what a Phase 1 member would submit.
- The consortium design: a steward-run venue for ETF holdings and trades, giving issuers client and sales attribution in place of bilateral issuer surveys.
- Data confidentiality: the framework that keeps the venue clean, by design rather than by contract.
- Next steps
Who should attend
- Heads of ETF and ETF product owners
- ETF Capital Markets, and authorised-participant and market-maker relationship leads
- Client and distribution data management, CBOR and data owners
- Distribution, sales strategy and client-group leads
- Performance, attribution and reporting leads
- Distribution technology and architecture
- Legal, risk and compliance, and competition counsel
- Data science and analytics leads
Speakers
- Facilitator: Greg Glass, Co-Chair, IDEN
- IDEN members & ETF Data Contributor perspective: Two top-40 managers by AUM
This session runs under IDEN's competition-law framework and the Chatham House Rule.
Session 2 · 15:30 — 17:30 · arrive from 15:00
Modernising Fund Reference and Distribution Data Exchange
IDEN members have taken ungoverned point-to-point data exchange and replaced it with a single shared standard.
About this session
The industry still moves fund reference and distribution data the way it did twenty years ago: point to point, with every firm building and paying to rebuild the same pipes. This session shows how far the shared-standard alternative has come, with members who have already put it into production. The common ground gets solved once, and each firm keeps its edge for where it competes. We'll conclude with a drinks reception from 17:30–19:00.
Why attend
- Replace bespoke feeds with higher quality data aligned to a standard designed by IDEN members. See how members retired point-to-point file exchanges in favour of modern and secure data integrations.
- Get to trusted Sales MI. Understand the data-quality steps that turn directional numbers into fit-for-purpose reporting the business will act on.
- Ready the data for data science. See how a clean, standardised data foundation makes downstream analytics possible rather than aspirational, and how semantic enrichment drives native AI integration.
- Understand data confidentiality. Strict separation means each issuer sees only their own investors' data, and access is reciprocal, never a sale of records.
Agenda
Scaling from POC to Production. The theme of this session is how IDEN data exchange initiatives — prioritised by IDEN members — have been rapidly scaled from business ideas and POCs to Production and the resulting business value. It is designed as an interactive, practical session that includes resources and how-to guides to enable other IDEN members to benefit from the new ways of exchanging data.
RLAM and two of the largest asset / wealth managers globally, alongside Aiviq and Snowflake, have taken this from concept into production.
- The IDEN Data Standard — what's new in v1.07
- Daily Platform Sales MI — a case study showing how the POC shown at the March 11 IDEN winter session is now running in Production for some IDEN members — at daily cadence with MPS data and data-quality KPIs appended.
- Direct share of fund reference data — a new model of bi-lateral sharing of Fund Reference Data from fund partners to investment platforms — a case study showing the design shown at the March 11 IDEN winter session now scaled to production, presented by RLAM & one of the largest global asset managers.
- Pooling client data — following the clear survey results on this topic at the March 11 IDEN winter session, a facilitated discussion to ratify the business case and design of a POC to pool EMEA and APAC distributor and client data, including organisation hierarchies.
- Semantic standards — IDEN's data and semantic dictionaries are aligning with the Apache Ossie standard (formerly Open Semantic Interchange, OSI), the Snowflake-led open semantics standard for interoperability of data products and agentic tooling.
- What IDEN prioritises next — member-governed and decided in the room.
Who should attend
- Distribution operations and distribution COOs
- Client and distribution data management, CBOR and data owners
- Data governance and CDO leads
- Sales MI, business analytics, performance and reporting leads
- Distribution, sales strategy and client-group leads
- Distribution and Client Group CTOs
- Head of Change and Business Transformation for the Enterprise and Client Group
- Distribution technology and architecture leads
- Head of CBOR or AUM & Flow data products
- Head of client experience, client insight and sales enablement
- Head of Data Science and Analytics
Speakers & case study presenters
- Session Facilitator: Greg Glass, Co-chair of IDEN
- Daily Platform Sales MI: Two of the largest global asset managers, RLAM, top wealth manager
- Fund reference data: RLAM & top global asset manager
- Pooling Client Data: Sam Iles, Head of Aiviq North America
- Semantic Data Standard for AI use cases: Till Blesik, Aiviq, DACH
This session runs under IDEN's competition-law framework and the Chatham House Rule.
Drinks reception · 17:30 — 19:00 — we'll conclude the afternoon with drinks at the venue.
