Recordly store Thinnest viable data platform

 

What is thinnest viable data platform?

Recordly's thinnest viable data platform is a streamlined, business-value-first data platform solution that strips away unnecessary complexity and focuses only on the essential components your organizational needs. It replaces heavy infrastructure with scalable, cloud-ready SaaS tools, removing IT bottlenecks, enabling collaboration, more reliable analytics and faster order-to-delivery.

It helps you move from fragmented data to real-time, governed, insight-ready data, in the fastest, most cost-efficient way.

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Why choose thinnest viable data platform?

Many data platform initiatives stall, cost too much, or become outdated before they deliver business value.

Common trigger situations:

    • Time from “order-to-delivery” from data team is long due to high effort in development
    • Current tools are costly, hard to scale, end-of-life, or could be vendor locked
    • Legacy codebase of tools require developers with super-niche skills, that are hard to find
    • Struggling to collaborate efficiently across data team(s)
    • Desire to integrate with modern data stacks (Snowflake, BigQuery, Azure, etc.)
    • With our thin platform approach, you bypass these pitfalls by focusing on a minimal but solid foundation that you can scale over time.

 

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What does Recordly’s thinnest viable data platform service include?

 

Using commonly available and scalable SaaS-tools, the solution can be built in small parts but is ready to expand with the business. 

We always recommend an incremental approach over a “big bang migration”, because you will have: 

  • Reduced impact on users
  • Improved testing for each dev batch
  • Better visibility of progress & issues
  • Better transparency for development costs
  • Improved flexibility for adapting to changing requirements.

Business value and
expected outcomes

With the thinnest viable data platform implemented, you can expect:

  • A live, working data platform that supports your critical business decisions 

  • Improved time-to-value
    • Focus on value-adding work, not on manual maintenance  tasks or fire fighting solving data issues in production

  • Clear business outcomes: first analytics or automation use cases delivered and in operation

  • Governing and standardization practices and foundation that prevent technical debt and enable future growth

  • The ability to scale, but only when you’re ready to avoid the “big-bang” risk

  • Removes IT bottlenecks - more attainable required skill set
    • No need for unicorn developers
    • Widely used, community-approved tools.

Who is it for?

This service is ideal for organizations that:

  • Are working with fragmented systems, manual data processes or Excel-based workarounds

  • Want to go beyond ad-hoc reporting but can’t justify a large data platform build yet

  • Prefer a phased, value-driven approach to data and analytics rather than building everything immediately

  • Have identified specific business use cases (analytics, automation, AI) and need a solid data platform to support them.

 

Typical roles who benefit include but are not limited to: 

  • Data & analytics leads

  • Digital transformation teams

  • CIOs / CTOs

  • Business unit leaders with analytics aspirations.

 

Delivery phases

The delivery takes approximately 20-30 working days.

Discovery phase

  • Deepen the understanding of work scope, prioritize and plan ahead, finalize technical decisions, create initial conceptual data model.

Data infrastructure

  • Version control, Infrastructure as Code backend and basic deployment. Monitoring & alerting.
  • Initial setup and basic configurations
  • Dev / Test / Prod environment configurations and deployment pipelines, establish development workflows.
Data integrations, processing and modeling
  • Integrating source systems to data warehouse
  • Document integrations and possible custom components
  • Data modeling & transformations.

FAQs

Q: Do we need an existing data platform in place?

A: No. This service is suitable for organizations even just starting out, or for those with fragmented or legacy data layers. We’ll help you establish a clean, minimal foundation from scratch (or refactor what you have).

 

Q: How tailored is the service to our business?

A: While the methodology is repeatable, the platform components, use case definitions and implementation will be based on your specific business, processes, people and priorities.

 

Q: Will we just get analysis or something runnable?

A: You’ll get a working data platform foundation plus at least one live analytics/automation use case in production. We do not only provide advisory; we'll build and deliver your solution too. 

 

 

What's next?

  1. Book a discovery call

  2. We’ll scope your challenge together

  3. You’ll get a plan, timeline, and outcome options.

Practicalities

  • Price and duration:
    • Starting point (for one business unit + one use case): €25,000 - 35,000
    • A fully functioning and scalable Thinnest Viable Data Platform can be built in approximately one month - circa 20-30 work days
    • Migration effort and licensing costs are excluded from the price
    • Please note that the price depends heavily on source systems and their amounts 
  • Please note that one size does not fit all. The price estimate above is an example extracted from previous cases. Work effort can be less or more depending on the solution that will be planned on the actual needs of the customer.
  • Recordly experts available: 2 data engineer, 1 data architect. 

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