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AWS Financial Services United States

Nasdaq

Document Processing

Nasdaq needed to help customers reduce the manual effort required for sustainability and environmental, social, and governance disclosures, which meant analyzing large volumes of unstructured documents quickly enough to keep up with new reporting requirements.

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Reported impact

Business outcome

Nasdaq Sustainable Lens helps customers benchmark against competitors, understand alignment with regulations or frameworks, and monitor sustainability and ESG trends in the wider market with on-demand insights.

  • Compliance
  • Productivity Improvement

Solution

Nasdaq built Nasdaq Sustainable Lens on AWS to analyze large volumes of unstructured ESG documents and disclosures for investor-relations teams. The serverless solution uses Amazon Bedrock and AWS Lambda to extract and organize relevant information, then surfaces benchmarking and trend insights through Nasdaq IR Insight so customers can compare themselves with peers and monitor sustainability developments. By packaging the workflow as an AI-powered service on top of its investor-relations platform, Nasdaq reduced manual document review, kept the architecture lightweight, and gave customers faster access to on-demand ESG intelligence.

Data flow

Unstructured sustainability and ESG documents flow into Nasdaq Sustainable Lens, where Amazon Bedrock and AWS Lambda analyze the content and return benchmarking and trend insights through Nasdaq IR Insight.

Solution architecture

2 components · 2 layers
  1. Compute
    • AWS Lambda Runs event-driven application logic without provisioning servers.
  2. Serving
    • Amazon Bedrock Provides foundation-model access for generative AI features and assistants.

Architecture clues

  • Nasdaq IR Insight is an investor relations platform that enables customers to manage investor events, report internally to executive teams, and find new investors to target.
  • Nasdaq built on Amazon Web Services (AWS) to help its customers reduce the manual effort required for sustainability and environmental, social, governance (ESG) disclosures.
  • To help customers meet these challenges, Nasdaq built a serverless AI-powered ESG solution called Nasdaq Sustainable Lens, using Amazon Bedrock and AWS Lambda.

Evidence from the source

Hear from James Tickner, head of product, IR Intelligence at Nasdaq, discuss how the company's customers faced new requirements to report on sustainability and ESG impact, which necessitated the analysis of a large volume of unstructured data and documents.
Nasdaq IR Insight is an investor relations platform that enables customers to manage investor events, report internally to executive teams, and find new investors to target.
Nasdaq built on Amazon Web Services (AWS) to help its customers reduce the manual effort required for sustainability and environmental, social, governance (ESG) disclosures.
They can quickly benchmark against their competitors, understand their alignment with regulations or frameworks, and monitor sustainability and ESG trends in the wider market with on-demand insights.
To help customers meet these challenges, Nasdaq built a serverless AI-powered ESG solution called Nasdaq Sustainable Lens, using Amazon Bedrock and AWS Lambda.
Transparency Evidence & methodology 61/100 reference value · 85% 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 value61/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity16/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact0/25
    0 metrics describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence85%
  • 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
    5 direct source quotes retained.
  • Date provenance8/10
    The publication date comes from publisher-controlled metadata.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    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. AWS

    Nasdaq customer story

    First-party
    https://aws.amazon.com/solutions/case-studies/nasdaq-video-case-study/
    Source type
    Vendor-published customer story
    Published
    Jun 19, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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