Modern Data

Build the data platform your analytics and AI depend on.

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

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The problem

Data is spread across legacy systems, cloud warehouses, SaaS applications, and spreadsheets. Each has its own definitions. The same customer or product exists in several conflicting versions. Every new report or model starts with weeks of reconciliation. Nobody is clearly responsible for quality.

What we do

We design and build data platforms with governance and master data management included from the start. We replace one-off pipelines with reusable data products. We agree on definitions once and enforce them everywhere. We architect for on-premises and cloud without locking you into a single 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
When to call us

Signs this is the right service.

  • Every new report or model starts with weeks of reconciling data.
  • The same customer, product, or supplier exists in several versions across systems.
  • Pipelines break when a source system changes, and someone finds out from a wrong report.
  • You are moving to the cloud and want to avoid rebuilding the same problems there.
Accelerators

What we bring to this work.

Templates, code, tests, and documents we adapt to your data and systems, so the work starts on your problem. What we adapt for you is yours to keep.

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.

Every engagement runs on GIST: Ground, Iterate, Ship, Trust.

How we work

See what the first step would be.

Tell us the business decision you want to improve. We will tell you what the first step would be and whether we are the right fit.

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