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Snowflake Financial Services Boston, MA

State Street

Real-time Analytics · Risk Management

give investment clients timely, complete data across the front, middle, and back office without the performance, replication, and sharing limits of older architectures.

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25x productivity gain
50% Lower total cost of labor (TCL) with Snowflake
87% of false positives
less than 10 minutes

Reported impact

Business outcome

State Street achieved 25x productivity gains in anomaly investigation, cut total labor costs by 50%, and accelerated delivery of live investment data and insights to Alpha clients.

  • Cost Reduction
  • Productivity Improvement
  • Scalability

Solution

State Street uses Snowflake and Secure Data Sharing to power its Alpha Data Platform, a front-to-back investment data service that unifies portfolio and operational insight across the investment lifecycle. Investment, cash, collateral, securities-lending, counterparty, and risk datasets are collected, curated, validated, and shared through Snowflake so asset managers can work from a timely enterprise view instead of piecing together siloed systems and copied extracts. Secure Data Sharing lets State Street exchange live data and onboard vendor datasets into client environments in minutes rather than months, while native AI and machine-learning capabilities support deep-learning-based data quality and anomaly detection inside the same governed platform. The result is near-real-time investment visibility, faster client onboarding, lower labor costs, and more efficient exception handling for operations teams using State Street Alpha.

Data flow

Investment and operational datasets are collected into Snowflake, where they are curated, validated, and analyzed for Alpha Data Platform workflows. Secure Data Sharing then distributes live vendor and client data into customer environments, and AI-assisted data-quality outputs help operations teams resolve true exceptions faster.

Solution architecture

2 components · 2 layers
  1. Storage
    • Snowflake Provides the core Alpha Data Platform where investment and operational data is collected, curated, validated, and analyzed.
  2. Serving
    • Secure Data Sharing Moves live vendor and client datasets into customer environments without replicated batch extracts.

Architecture clues

  • Deep-learning models inside the platform focus on data quality and anomaly detection for portfolio operations.
  • Secure Data Sharing replaces replicated ETL-style data delivery with live exchange into client environments.
  • Snowflake runs on Azure as the data backbone for State Street Alpha.

Evidence from the source

25x productivity gain
With Snowflake, we put data in our clients’ hands much faster — and with half the effort and resources
eliminated 87% of false positives
less than 10 minutes
Transparency Evidence & methodology 100/100 reference value · 79% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value100/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    4 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence79%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    4 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Snowflake

    State Street customer story

    First-party
    https://www.snowflake.com/en/customers/all-customers/case-study/state-street/
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes

Date evidence

  • First archived Jun 14, 2024 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
    Open date source
  • Sitemap last modified Aug 3, 2026 · Snowflake · Publisher metadata Publisher-reported modification timestamp; not a publication date.
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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