Reported impact
Business outcome
S&P Global Market Intelligence achieved 200M+ webpages mined for data to enhance risk assessment.
- Risk Reduction
SnowflakeFinancial ServicesRisk ManagementAI and Machine LearningData AnalyticsData PlatformRisk ReductionUndated SnowflakeSNW#29b5e8Financial ServicesNew York, New Yorkbuild a unified ML pipeline that could mine terabytes of web data from millions of private companies without costly data movement or fragmented infrastructure.200M+ webpages mined for data to enhance risk assessmentArchived · Mar 22, 20255Risk ManagementSnowflake · Snowpark · Snowpark Container Services0 2025-03-22 5
S&P Global Market Intelligence
Risk Management
build a unified ML pipeline that could mine terabytes of web data from millions of private companies without costly data movement or fragmented infrastructure.
200M+ webpages mined for data to enhance risk assessment
Solution
S&P Global Market Intelligence uses Snowflake, Snowpark, and Snowpark Container Services on Snowflake to build a unified ML pipeline that could mine terabytes of web data from millions of private companies without costly data movement or fragmented infrastructure. Web-crawled, firmographic, and risk data are centralized in Snowflake so risk analysts and product teams can work from a faster, more reliable operating view. Snowpark keeps transformation and application logic close to the governed data instead of forcing the team to move workloads into separate compute environments. Keeping ingestion, storage, transformation, and governed access on one platform reduces handoffs, simplifies operations, and makes it easier to reuse trusted data across analytics, reporting, and AI. S&P Global Market Intelligence achieved 200M+ webpages mined for data to enhance risk assessment.
Data flow
web-crawled, firmographic, and risk data flow into Snowflake, Snowpark, and Snowpark Container Services; curated data, reports, and model outputs are then served to risk analysts and product teams.
Solution architecture
- Compute
- Snowpark Runs transformations, analytics, and application logic directly where Snowflake data already lives.
- Snowpark Container Services Runs containerized ML, privacy, or application workloads directly against Snowflake-managed data.
- Storage
- Snowflake Provides the centralized data platform that stores governed datasets and serves analytics or AI workloads.
Architecture clues
- Operates at the scale described by metrics such as 200M+ webpages mined for data to enhance risk assessment.
- Snowpark Container Services handles specialized privacy or model workloads directly against the same managed data foundation.
- Snowpark keeps transformation and application logic close to the governed data instead of forcing the team to move workloads into separate compute environments.
Evidence from the source
200M+ webpages mined for data to enhance risk assessment
From helping its customers assess new investments to guiding them through sustainability and energy transition across supply chains, S&P Global unlocks new opportunities, solves challenges and accelerates progress for the world
S&P Global Market Intelligence achieved 200M+ webpages mined for data to enhance risk assessment
With Snowflake, S&P Global has increased efficiency and scaled ML pipelines, ultimately equipping customers with richer credit insights to inform their financial decisions
Transparency Evidence & methodology
Review how this reference was scored and trace each normalized claim back to its documented source.
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 value77/100
- Problem clarity20/20Measures whether the customer's operational problem is specific enough to compare.
- Implementation depth20/25Rewards named components, data flow, integrations, and architecture detail.
- Outcome specificity12/20Measures whether the reported benefit is concrete rather than a generic claim.
- Quantified impact15/251 metric describe measurable impact.
- Deployment scale10/10Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence79%
- Source authority20/25The main evidence is an official vendor-published customer story.
- Claim traceability21/2510 of 12 key fields link to a named source.
- Direct evidence20/204 direct source quotes retained.
- Date provenance0/10The publication date has no documented provenance.
- Source transparency8/101 source reference document publisher, URL, authority, retrieval, and supported fields.
- Implementation specificity10/10Rewards source-backed components, data flow, quantified impact, and a specific outcome.
Traceability
Sources & provenance
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
- https://www.snowflake.com/en/customers/all-customers/case-study/sandp-global/SnowflakeFirst-party
S&P Global Market Intelligence 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 Mar 22, 2025 · 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 Jul 9, 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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