Modern Data

Build the data platform your analytics and AI depend on.

Data platforms, pipelines, and master data management that give everyone one reliable version of the core data.

Start a conversation Accelerators we bring
The problem

Data is spread across legacy systems, cloud platforms, SaaS apps, and spreadsheets, each with its own definitions. The same customer or product exists in several versions, so every new report or model starts with weeks of reconciliation.

How we solve it

We build data platforms with governance and master data included from the start, replace one-off pipelines with reusable data products, and agree definitions once so they hold everywhere. On-premises or cloud, without locking you into one vendor.

What we deliver

What you get.

The outcome

One trusted source for the core data your business runs on.

  • Data platform modernization and cloud migration
  • Lakehouse and data warehouse design and implementation
  • Data integration, pipelines, and orchestration
  • Master data management for customer, product, supplier, and reference data
  • Data products, data contracts, and data quality frameworks
Accelerators

What we bring to this work.

Starting points we adapt to your data and systems. You keep what we adapt.

Data Platform Foundation

A starting data platform, set up as code on your cloud.

  • Reference architecture for the major cloud platforms
  • Infrastructure-as-code for storage, compute, networking, and identity
  • Ingestion and orchestration templates for common source types
  • Access policies, quality checks, and deployment pipelines
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Master Data Starter

Starting models and matching rules for customer, product, and supplier data.

  • Data models for customer, product, supplier, and reference data
  • Match, merge, and survivorship rules to tune against your records
  • Stewardship workflows and data quality scorecards
  • Data contract templates for each source system
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Data Readiness Assessment

Check whether your data can support a decision before you fund the work.

  • Profiling and lineage review of the sources in scope
  • A draft Decision Brief for the use case
  • A list of gaps, ranked by effort and by effect on the decision
  • A plan for the first build increment
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How it starts

The first step.

We assess the sources behind one important use case, agree definitions and data contracts with their owners, and set up the platform baseline as code on your cloud. The first cycle delivers one source flowing from landing to curated tables, with quality checks running.

How we work
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