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DATA, ANALYTICS AND AI SOLUTIONS

Data Platform Modernisation

Rebuild your data foundation using Microsoft Fabric or Databricks to unify data, integrate governance and enable advanced analytics and AI innovation.

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Tailored Modernisation Strategy

Customised plans aligning your data enivronment with your business objectives, ensuring a seamless transition.

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Expert Execution

Leverage our seasoned data experts to ensure accurate, timely and secure platform modernisation.

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Smooth Integration

Our solutions ensure flawless integration with your existing systems, minimising downtime and preserving data integrity.

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Trusted Platform Modernisation Solutions

Data platforms are the backbone of modern business yet many organisations are constrained by fragmented systems, inconsistent data, and legacy infrastructure. As new technologies emerge, retiring old systems while adopting new ones can quickly become overwhelming. Disconnected data and outdated architectures make it difficult to enforce governance or harness the power of advanced analytics.

Adaptiv’s Data Platform Modernisation helps you design and implement a modern, scalable, and well-governed data foundation built on platforms like Databricks or Microsoft Fabric. We simplify complexity, unify data across systems, and embed governance from the ground up, enabling advanced analytics, AI adoption, and driving measurable business outcomes.

Learn about how to Get Smarter with Data

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What our customers are saying

You might need our Data Platform Modernisation if you are

Our Approach

TECHNOLOGIES

We have certified data experts to guide your data platform implementation and modernisation using leading platforms.

See how our customers turn insights into action

Adaptiv empowers New Zealand’s top organisations to see and understand their data-inspiring breakthroughs and driving impact

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 New Zealand and Australia.

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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.

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 – Data and Integration, AU
Tel (+64) 27 800 6806

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Andy Hargrave
Sales Executive – Data and Integration, NZ
Tel (+64) 21 802 177

FAQ's

What is Data Platform Modernisation?

Data Platform Modernisation is the process of improving, upgrading, or replacing an organisation’s existing data platform so it can better support current business needs and future growth.

Modernisation doesn’t always mean moving to a completely new platform. In some cases, organisations can unlock significant value by optimising their existing environment through better architecture, upgraded licensing, new features, improved governance, or enhanced integration capabilities.

The goal is to ensure your data platform is scalable, secure, cost-effective, and capable of supporting modern analytics, reporting, and AI initiatives.

Many organisations rely on legacy data platforms that were designed for a different era of technology and business requirements. Over time, these platforms can become difficult to maintain, expensive to operate, and unable to keep pace with growing data demands.

Modernising your data platform enables your organisation to:

  • Scale more easily as data volumes grow
  • Improve data quality and accessibility
  • Support real-time analytics and decision-making
  • Integrate with modern business applications
  • Strengthen security and compliance
  • Prepare for AI and advanced analytics initiatives

Legacy platforms may also reach end-of-life, meaning they no longer receive vendor support, security updates, or feature enhancements. This creates operational risks and limits your ability to innovate.

A modern data platform provides a strong foundation for data-driven decision making across the organisation.

Key benefits include:

  • Improved data quality and trust
  • Better visibility of data lineage and sources
  • Stronger governance and compliance controls
  • Greater scalability and performance
  • Faster access to business insights
  • Enhanced security and risk management
  • Reduced operational complexity
  • Improved readiness for AI and machine learning

For data teams, modern platforms make it easier to deliver business intelligence reporting, self-service analytics, real-time insights, and large-scale data exploration.

Modern cloud-native platforms such as Databricks and Microsoft Fabric also include built-in security, governance, and monitoring capabilities that help organisations protect sensitive data while maintaining compliance with industry standards.

There are several signs that your existing data platform may no longer be meeting your organisation’s needs.

Common indicators include:

  • Slow or unreliable reporting
  • Inconsistent or duplicated data
  • Limited visibility into data quality and ownership
  • Difficulty integrating new applications and systems
  • Outdated APIs or unsupported technologies
  • Increasing maintenance and support costs
  • Poor scalability as data volumes grow
  • Limited support for cloud technologies
  • Inability to leverage modern analytics or AI capabilities
  • Lack of vendor updates, enhancements, or security patches

If your organisation is spending more time managing data issues than generating insights from data, it may be time to consider modernisation.

Successful AI initiatives depend on high-quality, trusted, and well-governed data.

Modern data platforms provide the capabilities needed to prepare data for AI by improving data quality, governance, security, and accessibility.

Platforms such as Databricks and Microsoft Fabric include powerful governance and data management capabilities, including features like Unity Catalog in Databricks and OneLake in Microsoft Fabric. These capabilities help organisations establish trusted data foundations, maintain clear data ownership, and create a consistent source of truth across the business.

By modernising your data platform, you can:

  • Improve data quality and consistency
  • Strengthen governance and compliance
  • Increase confidence in AI-generated outputs
  • Enable secure access to data for AI applications
  • Create a scalable foundation for machine learning and generative AI

Simply put, better data leads to better AI outcomes.

Adaptiv’s approach to modernising an organisation’s data platform begin by understanding your current environment, business challenges, strategic objectives, and future growth plans. We assess your existing data platform, identify opportunities for improvement, and determine the best path forward.

Depending on your needs, this may involve enhancing your current platform, upgrading components of your existing architecture, or transitioning to a modern cloud-based platform that better aligns with your long-term goals.

We then develop a practical modernisation roadmap that prioritises business value while minimising disruption to day-to-day operations.

Once the approach is agreed, our team works alongside your stakeholders to implement the solution using proven delivery methodologies and best-practice data architecture principles.

Following implementation, we provide knowledge transfer, training, and ongoing support to help your teams confidently manage and maximise the value of your modernised data platform.

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 Governance and Quality

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DATA, ANALYTICS AND AI

Master Data Management

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DATA, ANALYTICS AND AI

Data Visualisation