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Snowflake Commercial and Professional Services San Diego, CA

Power Digital

Marketing Personalization

turn large volumes of first-party marketing data into faster, more actionable insight so campaign strategy does not rely on gut feel or slow manual analysis.

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12 Sec for data retrieval, down from 24 hours
15–20 hours of work from data scientists are now automated
5x faster query processing

Reported impact

Business outcome

Power Digital accelerated query processing 5x, reduced data retrieval time from 24 hours to 12 seconds, and automated tasks that previously consumed 15 to 20 hours of data-science time.

  • Customer Experience
  • Productivity Improvement
  • Revenue Growth

Solution

Power Digital uses Snowflake and Streamlit on Snowflake to turn large volumes of first-party marketing data into faster, more actionable insight so campaign strategy does not rely on gut feel or slow manual analysis. First-party marketing and campaign data are centralized in Snowflake and surfaced through nova so Power Digital can guide strategy with current evidence instead of intuition. The platform applies AI-assisted analytics on top of the governed data foundation and uses interactive experiences such as Streamlit-style interfaces to make insight easier to access in natural language. Marketers, creatives, analysts, and technologists consume the outputs to build client campaigns faster, shorten proof-of-concept cycles, and deliver more actionable ROI insight. Keeping ingestion, storage, transformation, and governed access on one platform reduces copying, simplifies administration, and makes it easier to reuse trusted data for analytics, reporting, and AI. Power Digital...

Data flow

first-party marketing and campaign data flow into Snowflake and Streamlit; curated data, reports, and model outputs are then served to marketers, analysts, creatives, and client-strategy teams.

Solution architecture

2 components · 2 layers
  1. Storage
    • Snowflake Provides the centralized data platform that stores governed datasets and serves analytics or AI workloads.
  2. Serving
    • Streamlit Provides the user interface for analytics or AI applications backed by Snowflake data.

Architecture clues

  • Handles real-time insight workloads for campaign planning and proof-of-concept work.
  • Supports natural-language access to marketing data.
  • The nova platform is built on Snowflake and uses AI to guide marketing decisions.

Evidence from the source

12 Sec for data retrieval, down from 24 hours
5x faster query processing
Tasks that used to take 15–20 hours of work from data scientists are now automated
nova — a proprietary platform built on Snowflake, with AI capabilities
Transparency Evidence & methodology 95/100 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 value95/100
  • 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
    3 metrics describe measurable impact.
  • Deployment scale5/10
    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

    Power Digital customer story

    First-party
    https://www.snowflake.com/en/customers/all-customers/case-study/power-digital/
    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 May 23, 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 11, 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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