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DATA, ANALYTICS AND AI SOLUTIONS

Master Data Management

Create a trusted foundation for enterprise data by keeping critical business information consistent, accurate, and aligned across systems.

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Trusted Business Data

Create a single source of truth for critical business data.

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Scalable Data Foundations

Extend trusted data across systems, teams, and processes.

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Data Governance

Establish ownership, policies, and quality standards.

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Building Trusted Master Data

Poor data quality creates duplicate, inconsistent, and unreliable information across business systems, making it difficult for organisations to trust reporting, automate processes, deliver great customer experiences, and make informed business decisions.

While integration platforms like Microsoft Azure, Boomi and MuleSoft, help move data between applications, integration alone does not solve data quality or data consistency challenges. Without a clear system of record, critical business data can quickly become fragmented across multiple systems.
Master Data Management (MDM) addresses this challenge by creating a single source of truth for core business data, including customer, supplier, product, and employee records.

By centralising and governing master data, organisations can ensure that critical information remains accurate, complete, and consistent across their technology landscape.
A well-designed Master Data Management strategy improves data quality, strengthens data governance, reduces duplication, and increases confidence in reporting and analytics. This can be achieved through Boomi’s Data hub, Microsoft Purview, Databrick’s unified lakehouse approach or MuleSoft’s partnership with Stibo systems. The result with implementing an MDM strategy is trusted business data that enables faster decision-making, operational efficiency, regulatory compliance, and scalable business growth.

To learn more about the role MDM plays in modern data environments, read our article: Master Data Management and Why It Matters So Much

Learn about how to Get Smarter with Data

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What our customers are saying

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Our Approach

TECHNOLOGIES

Using leading data & integration platforms, we help enterprises create, govern and maintain their master data

See how our customers turn insights into action

Adaptiv empowers Australia’s top organisations with the management of their master data

 

Why choose Adaptiv?

Proven expertise. Smarter architecture. Results you can measure.

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Platform-Agnostic Expertise

We select the best-fit technologies for your environment and goals.

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Proven Integration and Modernisation Experience

Trusted by leading enterprises across Australia and New Zealand.

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Risk-Reduced Methodologies

Structured, phased, and tailored for business continuity.

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Long-Term Partnership Approach

Beyond migration, we support your ongoing optimisation and innovation.

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Local ANZ Knowledge, Global Standards

Deep understanding of regional and international requirements.

FAQ's

What is Master Data and Master Data Management?

Master Data Management (MDM) is the process of creating, managing, governing, and maintaining a single, trusted version of critical business data across an organisation. Master data can typically include customer, supplier, product, employee, and asset information.

By consolidating data from multiple systems into a single source of truth, MDM improves data quality, consistency, and accuracy, helping organisations make better business decisions and operate more efficiently.

Master Data Management helps organisations improve data accuracy, reduce duplication, strengthen compliance, and accelerate decision-making by providing trusted data across the business.

For example, if a customer’s contact details are updated in a CRM but not in a finance system, billing delays or communication issues can occur. With an MDM solution in place, data changes are synchronised and governed through agreed business rules, ensuring all systems work from the same trusted record.

Poor data management can create significant operational, financial, and compliance risks for organisations.

When business teams rely on inconsistent, duplicated, or disconnected data, it can lead to reporting errors, delayed billing, inaccurate forecasting, poor customer experiences, and inefficient business processes. These challenges are often amplified when data is spread across multiple systems without clear ownership or governance.

Without effective Master Data Management, organisations may struggle to trust their data and make informed business decisions.

The best way to start a Master Data Management initiative is by focusing on a single high-value business use case and then scaling the approach across the organisation.

At Adaptiv, we work with stakeholders to identify the master data entity causing the greatest business friction, whether that’s customer, supplier, employee, or product data. We then map the systems and workflows involved, including where the data is created, updated, consumed, and reported.

From there, we establish data governance, define ownership and business rules, identify the system of record, and implement the most appropriate MDM solution. Depending on your architecture and business requirements, this may be through Boomi’s Data Hub, Databricks’s unified lakehouse approach or MuleSoft’s partnership with Stibo Systems.

Once a proven framework is established, it can be extended to additional master data domains, creating a scalable foundation for trusted enterprise data.

Not sure where to begin?

Our team are here to help get you started or to simply have a chat.

Tell us your unique requirements and find out how we can bring meaningful change to your organisation.

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Christian Kelbrick
Director of Sales – AU
Tel (+64) 27 800 6806

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Andy Hargrave
Sales Executive – NZ
Tel (+64) 21 802 177

Our Solutions

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INTEGRATION

Advisory, Consulting and Strategy

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INTEGRATION

Platform Modernisation & Migration

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INTEGRATION

Hybrid Integration

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INTEGRATION

Integration Design and Development

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DATA, ANALYTICS AND AI

Data Analytics and Consulting

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DATA, ANALYTICS AND AI

Data Platform Modernisation

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DATA, ANALYTICS AND AI

Data Governance and Quality

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DATA, ANALYTICS AND AI

Data Visualisation