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Data Strategy & Governance

Build a data foundation that scales with your organisation. From architecture design through to governance frameworks and data culture — we align your data capability with your strategic goals.

Why Data Strategy Matters

Most organisations have data problems before they have data solutions

Before deploying analytics platforms or AI models, organisations need a clear strategy for how data is collected, stored, governed, and consumed. Without this foundation, technology investments underdeliver.

Data Architecture Design

Define the right architecture for your organisation — from traditional data warehouses to modern data lakehouses built on Databricks Delta Lake.

  • Current-state assessment
  • Target architecture design
  • Migration roadmap
  • Technology selection

Data Governance Frameworks

Establish policies, standards, and controls that ensure your data is accurate, consistent, secure, and compliant — now and at scale.

  • Data ownership & stewardship
  • Data quality standards
  • Access controls & security
  • Regulatory compliance (Privacy Act)

Data Catalogue & Lineage

Implement Unity Catalog or equivalent tooling so your teams can discover, understand, and trust the data they're working with — with full lineage traceability.

  • Metadata management
  • Data lineage tracking
  • Business glossary
  • Data discovery tooling

Data Quality Management

Define and enforce data quality rules across your data estate — ensuring the numbers your teams rely on for planning and decisions are trustworthy.

  • Data profiling & assessment
  • Quality rule definition
  • Automated monitoring
  • Remediation workflows

Master Data Management

Establish a single, governed version of your critical master data — customers, suppliers, assets, cost centres — that all systems reference and trust.

  • MDM strategy & tooling
  • Golden record creation
  • Cross-system synchronisation
  • Ongoing stewardship

Data Literacy & Culture

Technology alone doesn't create a data-driven culture. We work with your people to build data literacy, champion data ownership, and embed data thinking into decision-making.

  • Literacy assessment & training
  • Data champion programs
  • Executive data workshops
Our Process

A practical roadmap to data maturity

01

Data Maturity Assessment

Benchmark your current data capability against industry standards. Identify gaps, risks, and opportunities across people, process, technology, and governance.

02

Strategy Design

Co-design a data strategy that aligns with your organisation's strategic objectives, risk appetite, and technology landscape.

03

Architecture & Platform Selection

Define your target data architecture and evaluate technology options — recommending the right platforms from our Databricks, IBM, and Anaplan portfolio.

04

Governance Framework

Implement governance policies, data stewardship models, and tooling to keep your data estate healthy as it grows.

05

Implementation & Migration

Execute the data strategy with hands-on implementation support — building pipelines, migrating data, and deploying governance tooling.

"We had data everywhere and trusted none of it. Solution Minds helped us build a single source of truth that our whole organisation now relies on."

— Head of Analytics, WA State Government Agency
Data Maturity Model
Level 1 — Initial (ad-hoc, spreadsheet-based)
Level 2 — Managed (defined processes)
Level 3 — Defined (governed data platform)
Level 4 — Quantitatively Managed
Level 5 — Optimising (AI-driven, self-service)
Most organisations we work with start at Level 1–2. Our typical engagement moves clients to Level 3–4 within 12 months.

Start with a Data Maturity Assessment

A two-day engagement that benchmarks your current data capability and produces a practical roadmap for improvement.