Trusted data, delivered fast

From data to decisions that matter

Most mid-market teams already have the data. What they lack is one version of it everyone trusts, and a way to act on it before the quarter closes. We build that foundation in weeks, not quarters.

Where we work

Five practices, framed by the problem you would recognise rather than the technology underneath.

  • Integration & Data Engineering

    Connect fragmented systems and build reliable data flows that can be operated and changed.

    Integration architecture · APIs · batch, CDC and streaming · pipelines · DataOps

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  • Data Governance & Master Data Management

    Create trusted enterprise data through ownership, MDM, quality, observability, lineage and AI governance.

    Governance operating model · MDM · data quality · observability · catalog · lineage · stewardship · reference data · AI governance

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  • Analytics & Decision Intelligence

    Turn governed data into consistent metrics, self-service insight and better decisions.

    Semantic layer · trusted metrics · BI · self-service · data products

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  • Process Automation

    Remove repetitive cross-system work with governed workflows and automation.

    Workflow and BPM · API automation · RPA · process mining · AI-assisted workflows

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  • AI Readiness

    Prepare trusted data, knowledge, controls and access patterns for production AI.

    Data and knowledge readiness · AI architecture · AI governance · responsible AI · agent access controls

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Selected work

Three engagements, described by sector. Evidence of how the work is actually done.

  • Financial Services

    Problem
    Customer records were duplicated across retail, commercial and wealth, and investigations reconciled them by hand.
    Intervention
    Fixed the matching problem first: profiled real failure modes, then tuned rules against cases the team already knew the answer to.
    Outcome
    A single customer view for financial crime investigations, with lineage back to every contributing source.
  • Data Platform & Integration

    Problem
    Several integration stacks ran side by side after years of acquisitions, with no agreed answer on which pipeline was authoritative.
    Intervention
    Inventoried what actually ran, then consolidated in order of business risk rather than technical convenience.
    Outcome
    One documented pattern for onboarding a source, and the duplicate routes genuinely retired rather than left running.
  • Governance & Analytics

    Problem
    Regulatory figures were produced on time but their derivation could not always be demonstrated.
    Intervention
    Traced each reported measure back to source and captured the owning definition with a named owner.
    Outcome
    Provenance questions became a lookup instead of a multi-day investigation.

How We Deliver

Senior practitioners and a proven approach—built to get you trusted, usable data fast.

Weeks, Not Months

Tightly scoped engagements designed to deliver measurable value fast.

Built to Leave You Stronger

Knowledge transfer as a deliverable—your team can run and change what we build.

Governance-First

Security, lineage, and controls built in from day one—not bolted on later.

Senior, Hands-On Team

You work directly with experienced practitioners, not junior hand-offs.

End-to-End Expertise

One partner across integration, pipelines, governance, analytics, and AI readiness.

Who you'll actually work with

Senior practitioners who do the work themselves. No account layer, no junior hand-off.

  • Papa S. Nguer

    Papa S. Nguer

    VP, Solutions Engineering — PaWa Data Solutions

    • Nearly two decades at Informatica, most recently Country Manager for Technical Sales in Canada.
    • 300+ customer-facing proving engagements for Tier 1 banks, insurers, telecoms and transport.
    • Depth where financial services meets data: KYC and AML, entity resolution, MDM, governance and lineage.
  • Jason Thien Vo

    Jason Thien Vo

    Principal and Co-Founder, PaWa Data Solutions

    • Principal and co-founder, with 25+ years in enterprise data management.
    • Two decades leading complex architecture and delivery, including a long tenure at Informatica.
    • Depth in MDM, entity resolution, data governance and audit-ready data foundations.

PaWa is deliberately small. Engagements are led and delivered by the person you meet in the first conversation, and specialist collaborators are brought in by name when a project genuinely needs them.

Not sure the Health Check is the right start?

Then talk to the practitioner who would lead the work. A short call, no discovery deck, and a straight answer about whether we are the right firm for this.

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