Service Overview

Data Strategy and Audit

Understanding where your business data lives and establishing rules for its use.

What it helps clarify

Before implementing new analytics software or AI tools, organisations must understand their current data landscape. Our strategy audits identify scattered spreadsheets, siloed CRM systems, and undocumented manual processes.

We help you create a central inventory of data assets and build a roadmap to consolidate them into a trusted source of truth.

Data Governance Basics

We establish foundational frameworks for:

  • Data ownership (who is responsible for data quality)
  • Access permissions (ensuring staff only see relevant data)
  • Standardisation (agreeing on definitions for core business metrics)

Project Inputs & Limits

Typical starting inputs:

  • Current process maps
  • List of active software systems
  • Samples of weekly/monthly manual reports

Checks before implementation:

  • Stakeholder alignment on business goals
  • Identification of sensitive/personally identifiable information

Practical limitations:

Strategy documents do not fix data automatically; they require internal commitment to change workflows and adopt new standards.