Frictionless Data Flow: How Reconciliation Streamlines the Value Chain

An independent Datos Insights white paper sponsored by Trintech

In today’s fast-moving capital markets environment, reconciliation is no longer a back-office afterthought—it is the backbone of operational resilience, financial integrity, and regulatory confidence. As transaction volumes surge, asset classes diversify, and data flows multiply across systems and counterparties, firms must rethink how they manage reconciliation across the value chain.

In Frictionless Data Flow: How Reconciliation Streamlines the Value Chain, Datos Insights presents research-backed insights from 300 senior capital markets technology and operations executives, revealing how leading firms are transforming reconciliation into a strategic advantage.

What You’ll Learn

When you download this white paper, you’ll gain:

1. A Clear Benchmark of Reconciliation Health
Discover what separates high-performing reconciliation functions from those struggling with systemic inefficiencies. The report explains why “a strong reconciliation process is imperative to robust reconciliation health, ensuring timely break resolution, minimal manual intervention, and transparent audit trails”. It also outlines the risks firms face when processes are fragmented, reactive, and overly manual.

2. Insight into the Top Industry Challenges
Backed by proprietary survey data, the paper reveals the three most pressing challenges facing global asset managers, hedge funds, and broker-dealers:

• Data sourcing and integration complexities (73%)
• Lack of automation and AI-driven efficiencies (46%)
• Poor data quality impacting reconciliation accuracy (46%)

You’ll understand how data duplication, aging breaks, audit gaps, and fragmented systems inflate operational costs and increase regulatory exposure—and what leading firms are doing about it.

3. The Impact of DLT and AI on Reconciliation
Explore how distributed ledger technology (DLT) and AI are shifting reconciliation from batch-based and reactive to real-time and predictive. According to survey respondents, 74% expect DLT to increase payments reconciliation efficiency by more than 10%. The report details how AI is enabling intelligent break classification, predictive analytics, and automated compliance validation—helping firms reduce manual intervention and strengthen control frameworks.

4. Practical Guidance for Accounting Reconciliation Modernization
With 64% of firms prioritizing real-time accounting reconciliation, the paper highlights how organizations are accelerating close cycles, reducing journal-entry preparation time, and increasing automation across high-volume activities such as ACH clearing and general ledger postings.

Real-World Results: Two Tier-1 Capital Markets Case Studies

This white paper goes beyond theory, showcasing how Trintech clients are delivering measurable outcomes at scale. The case studies cover:

• U.S. Investment Services Firm: Managing Risk in a Multicustodial System
• U.S. Broker-Dealer Firm: Transforming Securities Reconciliation at Scale

As one Director of Reconciliation Operations shared, “We have reached an auto-match rate of more than 95%. That is thousands of exceptions we no longer have to touch manually. It’s a game-changer for securities reconciliation.”

Download Frictionless Data Flow from Datos and Trintech to see how modern reconciliation frameworks are reducing risk, accelerating resolution, and turning operational control into competitive advantage.