Data governance: the foundation everything else sits on
Most organisations know data is valuable. Few treat it as the strategic asset it is. Without structure, ownership and control it quietly becomes a liability.
Data governance is the set of rules that decide who owns each piece of business information, how it is captured, and what standards apply. Ooda Consulting sets those rules up for Australian SMEs and builds them into the ERP and CRM, so they hold without anyone policing them.
Bad data doesn't announce itself. It just erodes confidence
Customer names spelled differently across sales, service and finance. Staff spending their time fixing reports instead of acting on them. No clear retention or audit policy, leaving the business exposed. Marketing, sales and operations each working from a different version of the truth.
Each of these erodes confidence in the numbers, slows decisions and costs money. And no amount of new software fixes it, because the new system inherits the same data.
How we do it
Data Audit and Discovery
Mapping current sources, flows and pain points. Identifying duplication, gaps and high-risk areas.
Governance Framework
Defining ownership and accountability, and setting standards for naming, coding, attributes and metadata.
System Enablement
Governance rules implemented in the ERP and CRM: role-based access, automated validation and audit trails.
Ongoing Oversight
Governance embedded in business process rather than left to IT, with staff trained to treat data as shared responsibility.
Data governance is the operating system for your business information. It defines who owns which data, how it should be captured and maintained, what standards apply, and how compliance and security are ensured. Not a tick-the-box exercise, but the mechanism that lets your systems work together.
Common questions
Is data governance only for large organisations?
No. The problem shows up as soon as more than one team enters the same records, which for most SMEs is well under 50 staff. Large organisations have more of it, not a different version of it.
Do we have to fix our data before implementing Odoo?
Not all of it, but the master data yes. Customers, products, suppliers and price lists need an owner and a standard before migration, or the new system inherits the same mess with a faster interface.
What does a data audit actually involve?
Mapping where data is created, where it is copied, and where the copies disagree. The output is a list of duplications, gaps and high-risk areas, with an owner proposed for each data set.
Who should own data governance in our business?
Not IT. It belongs with the people accountable for the numbers, usually finance and operations, with IT implementing the controls. Governance left to IT becomes a technical project nobody follows.
Give your team data they can trust
Talk to us about improving data quality, setting clear standards and making sure everyone knows who is responsible for keeping records up to date.