Google Cloud Healthcare Switzerland

Curaden

Data Lake / Data Warehouse Modernization

However, gathering insights on global sales and product trends was historically a slow, manual process.

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Building on this data foundation, Curaden then formed an internal AI core group to explore company productivity. Working with Google Cloud partner PCG , the company rolled out a trial version of Gemini Enterprise for 50 users. As part of…

Built 47 Data Studio dashboards for accurate decision-making

Gains real-time insights with unified data from 46 web shops in BigQuery

In six months, Curaden created 47 active dashboards globally, moving from isolated data pockets to a unified operational model. Internal debates over conflicting local numbers have been replaced by a collaborative focus on data that teams…

Reported impact

Business outcome

Gains real-time insights with unified data from 46 web shops in BigQuery; Replaces three-month delays in reporting with daily data visibility; Built 47 Data Studio dashboards for accurate decision-making; Speeds up data engineering with natural language prompts in Gemini

Solution

However, gathering insights on global sales and product trends was historically a slow, manual process. Curaden centralizes fragmented global data with BigQuery, using Data Studio dashboards to provide real-time business insights. We wanted an environment that gave us complete visibility from day one without paying for idle capacity. Google Cloud scales smoothly with our growth and BigQuery gives us the processing speed to turn messy, fragmented numbers into trusted operational… Key components include Cloud Run runs serverless or virtualized application services with elastic scale for production AI workloads; Gemini provides the reasoning or generation layer used for classification, orchestration, content generation, or analysis; BigQuery stores and queries the analytics and AI-ready datasets that power the workload; Looker provides the governed semantic layer, dashboards, and self-service analytics used by business teams. Reported outcomes include Gains real-time insights with.

Solution architecture

4 components · 3 layers

Compute
- Cloud Run Runs serverless or virtualized application services with elastic scale for production AI workloads.
- Gemini Provides the reasoning or generation layer used for classification, orchestration, content generation, or analysis.
Storage
- BigQuery Stores and queries the analytics and AI-ready datasets that power the workload.
Serving
- Looker Provides the governed semantic layer, dashboards, and self-service analytics used by business teams.

Architecture clues

Curaden centralizes fragmented global data with BigQuery, using Data Studio dashboards to provide real-time business insights.
Enabling informed business decisions with a scalable data ecosystem
However, gathering insights on global sales and product trends was historically a slow, manual process. Because international operations grew organically over time, commercial data sat trapped within isolated regional…
This fragmentation made it difficult to maintain clear commercial visibility. Separate time zones meant that local data updates frequently conflicted with central records, making it hard for international offices to…
We wanted an environment that gave us complete visibility from day one without paying for idle capacity. Google Cloud scales smoothly with our growth and BigQuery gives us the processing speed to turn messy, fragmented…

Evidence from the source

Built 47 Data Studio dashboards for accurate decision-making

Curaden centralizes fragmented global data with BigQuery, using Data Studio dashboards to provide real-time business insights.

Enabling informed business decisions with a scalable data ecosystem

Gains real-time insights with unified data from 46 web shops in BigQuery

Replaces three-month delays in reporting with daily data visibility

Speeds up data engineering with natural language prompts in Gemini

Transparency Evidence & methodology 91/100 reference value · 77% confidence · 1 source

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 value91/100

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 impact25/25
3 metrics describe measurable impact.
Deployment scale10/10
Rewards evidence of a live or scaled deployment and meaningful integration scope.

Evidence confidence77%

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
6 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 specificity8/10
Rewards 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.

Google Cloud
Curaden customer story

First-party
https://cloud.google.com/customers/curaden

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 Jul 30, 2026 · Google Cloud · Publisher metadata Publisher-reported modification timestamp; not a publication date.
Open date source
Unverified extracted date Jul 30, 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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