Offerings · Data Consultancy

Scattered data into trusted intelligence.

End-to-end data consultancy, strategy to production. We design modern lakehouse/warehouse platforms, build reliable pipelines, embed governance and quality, and enable your people with dashboards and self-service analytics for faster decisions, lower risk, and a stack you can run without us.

What we cover

From strategy to a platform your team owns.

Data Strategy & Roadmap

  • Business-value assessment, KPI mapping and use-case prioritisation
  • Target operating model for people, process and platform
  • Cost forecasting and FinOps guardrails

Data Platform Design (Lakehouse / Warehouse)

  • Reference architectures for AWS, Azure and GCP
  • Databricks and Snowflake blueprints storage, compute, access
  • Security patterns, network design and secrets management

Data Engineering & Integration

  • Ingestion frameworks for batch and streaming sources
  • Declarative transformations, orchestration and testing
  • CDC, schema evolution and resilient job design

Data Quality, Lineage & Governance

  • Automated quality checks, SLAs/SLOs and incident playbooks
  • Column-level lineage and data-catalog integration
  • RBAC/ABAC, PII handling and audit readiness

Analytics, BI & Semantic Models

  • Clean, reusable semantic layers everyone trusts
  • Executive dashboards and real-time operational analytics
  • Performance tuning and cost optimisation across tools

Enablement & Operating Model

  • Runbooks, playbooks and centre-of-excellence patterns
  • Training for engineers, analysts and business teams
  • Handover with measurable success criteria
Why Tenplus

Outcome-led, governed by design.

  • Outcome-led - we start with business KPIs, then design the leanest solution to hit them.
  • Modern architectures - lakehouse and warehouse on Databricks and Snowflake across AWS, Azure, GCP.
  • Governance by design - lineage, quality checks, role-based access and auditability from day one.
  • Faster time-to-value - teams mobilised quickly; quick wins by Sprint Two while the platform hardens.
  • Enablement first - runbooks, training and handover so you stay independent.
Our delivery approach

Five phases, KPI to launch.

1

Discover & define

Align on KPIs, use cases, risks and success criteria.

2

Design

Choose the simplest architecture that meets goals; plan governance.

3

Build

Implement datasets, pipelines and services with CI/CD.

4

Validate

Test quality, latency and cost at production thresholds.

5

Operate & enable

Launch with monitoring, runbooks and training for your team.

What you walk away with

The point of the engagement.

Faster decisions

Trusted metrics, available when they are needed.

Lower risk

Governance and quality built in, not bolted on.

Trusted data

One governed source instead of scattered exports.

Self-service analytics

Dashboards and semantic layers teams actually use.

A stack you run

Handover with runbooks independence, not lock-in.

Start today

See it running on your own data in 15 days.

A free proof of concept one real use case, on your cloud. No cost, no risk, and you keep the code.

We’ve Helped Them

We’ve partnered with many household brand names to deliver insights and solutions to their problems with big data.

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We're Here to Help You!

Whether you have a request, a query, or want to work with us, use the form below to get in touch with our team.