Skip to content
For fTECHNOLOGY & DESIGN
For f

AI & DATA / DATA PLATFORM

Data platforms and analytics

Scattered data.
A usable asset.

Design collection, integration and visualization with Snowflake or Google Cloud, moving from individual reporting tasks to shared data capabilities.

Discuss this serviceView deliverables
Concept visual of data paths converging on a blue core
FOR
Companies using data across departments
PHASE
Data utilization
ESTIMATE
Proposed individually after confirming scope
PARTNERSHIP

Snowflake partner

Snowflake
TECHNOLOGY

Google Cloud

BigQueryCloud RunCloud SQL

FROM WORKFLOW TO DELIVERABLES

How we work ↗
  1. 01Review the current data landscape
  2. 02Design the foundation and metrics
  3. 03Implement integration and visualization
  4. 04Confirm refresh and operating procedures

01 SCOPE & DELIVERABLES

What this engagement delivers.

Use the following as a starting point to agree on deliverables for your workflow and requirements.

01

Data architecture and integration design

02

Ingestion and transformation processes

03

Access, refresh and quality-management design

04

Analytics interfaces and usage guidance

If available,
bring these to the conversation.

  • Data source inventory
  • Required metrics and reporting needs
  • Existing cloud environment and permissions

Incomplete documentation is fine. Start by describing your current situation.

02 PROJECT FLOW

A visible path to delivery.

  1. 01

    Review the current data landscape

  2. 02

    Design the foundation and metrics

  3. 03

    Implement integration and visualization

  4. 04

    Confirm refresh and operating procedures

Decision point

Validate stable updates and consistent figures before extending to more data or AI use cases.

03 ENGAGEMENT

Define the scope before starting.

Cost, timing and terms are proposed after confirming scope and the team required.

A CLEAR FIRST STEP

The scope you need.
An informed decision to start.

Tell us about your objectives and current situation.
We will propose a clear scope, deliverables and approach.

Discuss scope and estimates
  1. 01

    Contact

    Start with your current situation and challenges, even before requirements are defined.

  2. 02

    Review scope, deliverables and estimates

    Review work, cost, timing and exclusions. Additional work is discussed before it begins.

  3. 03

    Start with the agreed phase

    Confirm the terms before starting. Subsequent phases depend on results and business needs.

04 QUESTIONS

Start with your questions.

Q.Can we commission only a PoC?

Yes. We agree on the validation scope, evaluation method and deliverables. The production decision can follow the results.

Q.Can we start if our data is not organized?

We first review data locations and formats. If preparation is needed, we propose that scope separately from AI development.

Q.Do we need both Snowflake and Google Cloud?

No. We assess the existing environment, volumes, access needs and operating structure to choose an appropriate architecture.

Questions about engagement and estimates

05 NEXT STEP

Explore what comes next.

AI ADOPTION

AI discovery and adoption

Clarify the current situation and objectives, the AI and human responsibilities, required data and priorities.

AI and data analytics services