AtomHub 2.0
    Institutional Investors & Asset Managers — Sector Case Study

    From siloed data to a
    trusted investment platform

    We partnered with a leading global fiduciary fund to build an in-house enterprise data platform—uniting thousands of sources, enforcing fine-grained governance, and enabling faster, better-audited investment decisions at scale.

    1000s of sources

    Unified ingestion

    Fine-grained

    Access controls

    Multi-year

    Platform rollout

    Multi-year engagement
    Regulatory-ready
    Enterprise scale
    Medallion Architecture
    Data Mesh
    Audit-Ready

    Executive Summary

    Lakehouse + Data Mesh Platform

    Rolled out over a multi-year program to serve investment, risk, and operations teams.

    Medallion Data Flow

    Bronze/Silver/Gold architecture with automated quality checks and lineage so teams could trust what they used.

    Governed Access

    Fine-grained entitlements and centralized policy enforcement to satisfy regulatory obligations.

    Orchestrated Operations

    Auto-retries, roster-based alerts, and partial-write cleanup improved reliability.

    Business Impact

    Timely, high-quality data; improved collaboration; and scalable performance for heavy workloads.

    Situation (Before)

    Data Silos & Fragmentation

    Across business units reduced confidence and slowed time-to-decision.

    Integration Overload

    Thousands of heterogeneous sources with limited interoperability.

    Governance Gaps

    Inconsistent entitlements and manual, burdensome compliance reporting.

    Rising Volumes on Legacy Infrastructure

    Strained performance and agility.

    Mandate

    Create a trusted, scalable platform that accelerates research, reporting, and investment decisioning—without compromising governance.

    Objectives

    Timely, Trusted Data

    For investment and business teams.

    Stronger Governance

    & lineage to reduce compliance overhead.

    Elastic Performance

    & collaboration across domains and workloads.

    What We Built

    Ingestion Services

    Pull from thousands of sources into a governed Raw Zone, handling structured, semi-structured, and unstructured formats.

    Data Processing Framework

    Standardizes transformation into business-ready layers with a Bronze→Silver→Gold pattern.

    Quality & Trust

    Automated DQ checks and monitors baked into pipelines.

    Governance & Entitlements

    Table-level controls and centralized policy enforcement.

    Lineage & Catalog

    End-to-end traceability and faster dataset discovery.

    Orchestration & Monitoring

    Auto-retry, roster-based alerts, and partial-write cleanup.

    Architecture at a Glance

    Sources
    Raw/Contracts
    Bronze/Silver/Gold
    DQ & Lineage
    Catalog & Access
    Consumption

    Before → After

    Research & Risk

    BEFORE

    Slow joins across fragmented stores; unclear provenance.

    AFTER

    Curated Gold tables with lineage; faster iterations and shared confidence.

    Operations & Reporting

    BEFORE

    Manual reconciliations and late extracts; frequent failures.

    AFTER

    Orchestrated pipelines with auto-retries, roster-based alerts, and clean recoveries.

    Governance & Compliance

    BEFORE

    Ad-hoc entitlements; high audit overhead.

    AFTER

    Fine-grained access + centralized policies; automated evidence reduces burden.

    Outcomes

    Improved Data Availability

    Teams access high-quality datasets on time.

    Enhanced Collaboration

    One platform bridging business and technology.

    Regulatory Compliance Uplift

    Automated governance and auditable lineage.

    Scalability & Performance

    Auto-scaling & parallel processing handle heavy workloads.

    Why It Mattered

    Speed & Confidence

    Faster pipelines and consistent definitions turned data into an investable asset.

    Risk Reduction

    Entitlements, lineage, and evidence eased audits and reduced operational risk.

    Scale Without Chaos

    Mesh governance let domains move independently on a shared, reliable backbone.

    Ready to Transform Your Investment Platform?

    Download the detailed institutional investor case study with architecture diagrams, metrics, and implementation playbooks.

    All metrics and results presented are anonymized and represent aggregated outcomes across engagements in the institutional investment domain.