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Google Cloud Commercial and Professional Services Brazil

Convert Human Digital Business

Data Lake / Data Warehouse Modernization · Enterprise Knowledge Search

Convert Human Digital Business is Grupo Dreamers' digital agency, specializing in connecting creativity, technology, data, and performance with one core objective: to unlock our clients' business potential through digital, turning opportunities into growth and meaningful business impact.

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As clients demanded analytical answers in hours rather than days, the agency found itself hitting the limits of what its existing approach could deliver.
Complex data analysis 8.4x faster
Convert Human Digital Business built five AI agents on Google Cloud to answer any marketing question from a single source of truth.
Convert Human Digital Business cuts report delivery by 65% with AI agents on Looker

Reported impact

Business outcome

Complex data analysis 8.4x faster

  • Cost Reduction
  • Productivity Improvement

Solution

Convert Human Digital Business built five AI agents on Google Cloud to answer any marketing question from a single source of truth. When the Google Cloud team presented the platform's semantic layer as a solution to exactly this problem, Convert saw the path forward. Partner Shearwater Data supported the onboarding and implementation from the start. With Google Cloud in place, Convert Human Digital Business built Verus, an analytical intelligence ecosystem that combines Looker's semantic layer, specialized AI agents, and advanced prompt engineering to turn marketing data into governed, traceable answers. BigQuery serves as the data warehouse, holding all marketing and transactional data from Convert's clients. Looker sits on top as the foundation of Verus, with its LookML semantic layer acting as what the team calls a business contract written for the AI.

Solution architecture

5 components · 4 layers
  1. Storage
    • BigQuery Serves as the governed analytics and storage layer for high-volume operational data, features, and reporting.
  2. Serving
    • Looker Serves dashboards, governed metrics, or natural-language analytics on top of the shared data model.
    • Google Workspace Provides the collaboration surface where teams review outputs and work with AI assistance.
  3. Orchestration
    • Gemini Enterprise Provides the reasoning or generation layer used for classification, orchestration, content generation, or analysis.
  4. Governance
    • LookML Defines the semantic business model that keeps AI and analytics answers consistent and traceable.

Architecture clues

  • "Governance is not an isolated layer at the end," Gasparetto explains.

Evidence from the source

BigQuery serves as the data warehouse, holding all marketing and transactional data from Convert's clients. Looker sits on top as the foundation of Verus, with its LookML semantic layer acting as what the team calls a bu
Complex data analysis 8.4x faster
Convert Human Digital Business cuts report delivery by 65% with AI agents on Looker
The answer was Looker . When the Google Cloud team presented the platform's semantic layer as a solution to exactly this problem, Convert saw the path forward. Partner Shearwater Data supported the onboarding and impleme
With Google Cloud in place, Convert Human Digital Business built Verus, an analytical intelligence ecosystem that combines Looker's semantic layer, specialized AI agents, and advanced prompt engineering to turn marketing
Transparency Evidence & methodology 77/100 reference value · 75% 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 value77/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth15/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity12/20
    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 confidence75%
  • 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 provenance0/10
    The publication date has no documented provenance.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity6/10
    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. Google Cloud

    Convert Human Digital Business customer story

    First-party
    https://cloud.google.com/customers/convert-human-digital-business
    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

  • Sitemap last modified Sep 22, 2026 · Google Cloud · Publisher metadata Publisher-reported modification timestamp; not a publication date.
    Open date source
  • Unverified extracted date Sep 22, 2026 · Google Cloud · Unknown Legacy extracted date without source-page confirmation.
    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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