Data, Security & AI

Senior data leadership, without the full-time hire.

Kanangra I/O helps organisations set direction for their data, turn it into decisions faster, and move it safely onto modern open source platforms.

Talk about your data See how we work

Leadership

Fractional Chief Data Officer

An experienced CDO on a part-time basis to own data strategy, governance and the roadmap that ties data to business outcomes.

Explore the CDO role Delivery

Data Insights Accelerator

A lean, project-based route from raw sources to a working minimum viable product that shows insights people can use.

See the approach Platforms

Data Migration & Upgrades

30 years moving data off legacy systems and upgrading MySQL, PostgreSQL, MongoDB and Redis with care.

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Fractional Chief Data Officer

Someone accountable for your data, at the level you need.

Many organisations need executive data leadership before they can justify a full-time CDO. A fractional CDO gives you that leadership for a set number of days, and builds the foundations a permanent hire can later take over.

Strategy and roadmap. Align data investment with the decisions the business actually needs to make.
Governance and security. Put ownership, privacy, compliance and quality standards in place that people follow.
Team and capability. Lift data literacy, shape the team, and guide technology choices without vendor bias.
Board-ready reporting. Translate data progress into language executives and directors can act on.

Readiness check

The five pillars of a data-driven organisation

Every engagement starts by asking five questions. The answers show where leadership effort will pay off first.

Strategy: What are we doing?
Leadership: Who owns what we are doing?
Data Literacy: Do we have the skills to accomplish what we are doing?
Data and Technology: Do we have the data, access, and tools to drive data-driven decision-making?
Culture: Is the environment ready to succeed with data?

The five key pillars are defined by Jordan Morrow in his book Be Data Driven.

Data Insights Accelerator

Quality data insights, delivered faster.

Large platforms and large teams are slow and expensive. The accelerator uses a lean, agile approach to deliver a minimum viable product that proves your data can answer real questions, then builds from there.

Discover

Map sources, lifecycle and lineage. Catalogue metadata and agree on stewardship and terminology.

Govern

Set privacy, protection, security and quality standards early, so trust is built in from the start.

Build

Stand up pipelines, storage and transformations, from batch tables to data in motion.

Tell the story

Visualise the results and present them as a narrative decision-makers can act on.

Data as a Product. Each engagement moves you from data at rest toward data in motion, packaged as a practical product your organisation can reuse and, where it makes sense, monetise.

MVP first

30years in data migration

Data Migration & Upgrades

Off legacy systems, onto open source, without losing a row.

30 years specialising in data migration from legacy data systems to current open source database technologies. Expert in database upgrades for MySQL, PostgreSQL, MongoDB and Redis.

relational

MySQL

Major-version upgrades, replication topology changes and schema migration with planned rollback.

relational

PostgreSQL

In-place and logical upgrades, extension compatibility, and moves from commercial databases.

document

MongoDB

Version upgrades across replica sets and sharded clusters, with driver and query compatibility checks.

key-value

Redis

Upgrades and data moves for caches and primary stores while keeping latency-sensitive services online.

Expertise

The full data lifecycle, from governance to machine learning.

Direction

Data Strategy

Principles, tools, analytics and infrastructure.

Security

Data Governance

Privacy, compliance, protection, security, standards and quality.

Direction

Data Discovery

Lifecycle, lineage, stewardship, taxonomy and ontology.

Platforms

Data Architecture

Mesh, fabric, warehouse, lake and database options.

Platforms

Data Acquisition

Sources, pipelines, processing and transformations.

Platforms

Data Stores & Streams

Structured, unstructured and data-in-motion solutions.

Outcomes

Data Insights

Fact-based decisions and data storytelling.

Machine Learning & AI

Predictive analytics, data mining and machine learning.

Start with a conversation about your data.

Tell us where you are today. We will tell you honestly which of the three services fits, or whether you need one at all.

Book a call