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Privacy Policy
KinetIQ Pty Ltd · ABN 66 611 854 249 · Last updated: January 2026
1. About this Policy
KinetIQ Pty Ltd (ABN 66 611 854 249) ("KinetIQ", "we", "us", "our") is committed to protecting your personal information in accordance with the Privacy Act 1988 (Cth) and the Australian Privacy Principles (APPs). This Policy describes how we collect, use, disclose and manage personal information through our website (www.kinetiq.com.au) and in the course of providing our consulting services.
2. What personal information we collect
We may collect the following categories of personal information:
Contact information — name, email address, phone number, organisation name and role, collected when you submit an enquiry through our contact form or email us directly.
Usage data — IP address, browser type, pages visited, time on site and referring URL, collected automatically via Google Analytics 4 when you visit our website (subject to your cookie preferences).
Professional information — information you provide in the course of engaging our services, including project requirements, organisational context and business needs.
Communications — records of correspondence between you and KinetIQ.
We do not collect sensitive information (as defined in the Privacy Act) unless it is reasonably necessary for our services and you have consented to its collection.
3. How we collect personal information
We collect personal information directly from you when you contact us via our website contact form, email or phone. We also collect usage data automatically when you visit our website if you have accepted analytics cookies. We do not purchase personal information from third parties or obtain it from data brokers.
4. Why we collect and use personal information
We use your personal information for the following purposes:
To respond to your enquiries and provide the consulting services you request.
To manage and administer our client relationships and engagements.
To understand how our website is used and improve its content and performance (analytics cookies only, subject to consent).
To comply with our legal obligations.
We will not use your personal information for direct marketing purposes without your consent. We will never sell your personal information to third parties.
5. Disclosure of personal information
We may disclose personal information to:
Service providers — third-party providers who assist us in operating our website or delivering services (e.g. Google Analytics, email hosting providers), under appropriate data processing agreements.
Legal and regulatory bodies — where required or permitted by law.
Professional advisors — lawyers and accountants, subject to confidentiality obligations.
We do not disclose personal information to overseas recipients except where necessary for cloud-hosted services (e.g. Google Analytics infrastructure), in which case we take reasonable steps to ensure those recipients handle information consistently with Australian privacy standards.
6. Cookies and tracking technologies
Our website uses cookies and similar technologies. Essential cookies are required for the website to function. Analytics cookies (Google Analytics 4) are optional and are only placed with your consent via the cookie banner. You may withdraw consent at any time by clearing your browser cookies. You can manage cookies through your browser settings.
7. Data security
We take reasonable steps to protect personal information from misuse, interference, loss, unauthorised access, modification or disclosure. Our website is served over HTTPS. We retain personal information only for as long as necessary for the purposes described in this Policy, or as required by law.
8. Access and correction
You have the right to access personal information we hold about you and to request correction of inaccurate, incomplete or out-of-date information. To make an access or correction request, contact us at hello@kinetiq.com.au. We will respond within 30 days.
We may update this Privacy Policy from time to time. The current version will always be available on our website. Material changes will be noted with an updated date. Continued use of our website after changes are published constitutes acceptance of the updated Policy.
KinetIQ partners with enterprise organisations to design, build and govern data platforms and AI capabilities that deliver measurable, lasting outcomes.
Federal Government◆NSW Government◆Major Australian Banks◆ASX-listed Corporates◆Leading Healthcare & MedTech◆National Telcos◆Tier-1 Law Firms◆Group Eight Universities◆Federal Government◆NSW Government◆Major Australian Banks◆ASX-listed Corporates◆Leading Healthcare & MedTech◆National Telcos◆Tier-1 Law Firms◆Group Eight Universities◆
Who we are
Boutique expertise. Enterprise scale.
Founded in Sydney in April 2016, KinetIQ was established by principals with deep roots in large-scale enterprise data transformation — built over years delivering mission-critical programs for tier-one Commonwealth departments including Defence, Finance, Health, Education and the Australian Taxation Office.
We are a boutique systems integration consultancy purposefully focused on data and AI. We bring together strategic rigour, technical depth, and pragmatic delivery — the combination that enterprise programmes need to succeed.
Our founders' experience spans the full spectrum of data platform delivery: from defining strategy and governing complex data estates, to hands-on build and integration across leading modern platforms. We carry that heritage into every engagement.
Founded April 2016Sydney-basedGovernment pedigreeBoutique & independent
10+
Commonwealth departments served
Tier 1
Government & enterprise clients only
9yr+
Proven delivery track record
4
Core service practice areas
What we do
Our services
End-to-end capability across program management, governance, and modern platform delivery — for data and AI.
01 — Program delivery
Enterprise Data Transformation
Program management and delivery oversight for large-scale enterprise data transformation — bringing structure, accountability, and pace to complex, multi-workstream initiatives.
Program structure design and governance frameworks
Multi-vendor delivery coordination and oversight
Executive reporting and stakeholder engagement
Risk management and quality assurance
Benefits realisation and outcomes tracking
02 — Governance
Data Governance
Enterprise data governance operating models that make data trustworthy, discoverable and usable — at scale and in practice, not just on paper.
Data governance strategy and operating model design
Data ownership, stewardship and accountability frameworks
Data quality management and monitoring
Metadata management and data lineage
Regulatory and compliance alignment
03 — Platform
Data Platform Advisory & Implementation
Modern data platform architecture and delivery — from cloud data warehouses and lakehouses to data mesh and fabric — aligned to your scale and ambition.
Data architecture strategy and platform selection
Cloud data warehouse and lakehouse implementation
Data integration, pipeline and ETL/ELT delivery
Analytics and business intelligence solutions
Data virtualisation and federation
04 — Artificial Intelligence
AI Platform Advisory & Implementation
Responsible selection, design and implementation of AI platforms — connecting your data foundations to scalable, production-grade AI capabilities.
AI readiness assessment and strategy
AI platform selection and architecture
ML pipeline and model deployment
Generative AI use-case identification and delivery
AI governance, ethics and risk frameworks
How we work
Our implementation approach
A structured, outcome-oriented delivery methodology — adaptable to the scale and complexity of each engagement, grounded in real-world enterprise experience.
Delivery Lifecycle — Five Integrated Phases
Our five-phase model moves organisations from fragmented data states to governed, AI-ready intelligence platforms.
Modern Data Platform — Reference Architecture
The layered architecture KinetIQ designs and delivers — from source systems to governed AI and analytics — with your specific platform stack at each layer.
AI Readiness — KinetIQ Maturity Model
We baseline every organisation on this maturity spectrum and design a clear, practical path to AI-enabled competitive advantage.
1
Assess — Current-state discovery and baseline
Every engagement begins with a structured discovery phase. We evaluate your current data landscape, architecture, tooling, governance maturity, and business objectives. We conduct stakeholder workshops across business and technology, review existing documentation and platforms, and identify critical pain points and opportunities. The output is a clear, agreed baseline and prioritised list of actions with indicative effort and value.
Data maturity assessmentStakeholder workshopsArchitecture reviewRisk registerOpportunity mapping
2
Design — Target architecture and strategic roadmap
Drawing on assessment findings, we design a target-state architecture aligned to your business strategy and technology landscape. We produce a platform selection recommendation informed by your requirements — not by vendor allegiance — and develop a phased roadmap with a business case quantifying expected benefits, costs and risks. Our governance operating model design ensures the architecture is underpinned by clear policies, ownership and accountability from day one.
Target architecturePlatform selectionBusiness casePhased roadmapGovernance model design
3
Build — Agile, sprint-based platform delivery
Implementation is delivered using an agile, sprint-based model that delivers working increments of value throughout the program — not just at the end. We manage and coordinate delivery across platform engineers, data engineers, architects and business stakeholders, maintaining rigorous quality assurance and test coverage. Complex, multi-vendor environments are our natural territory: we are experienced in managing delivery risk across multiple parallel workstreams at enterprise scale.
A platform without governance is a liability. We activate the governance operating model through practical enablement: defining data domains and ownership, embedding data quality rules, establishing stewardship councils, and instrumenting monitoring and alerting. We work to ensure governance is a genuinely enabling function — making data trustworthy and fit for use across the organisation and, critically, for AI.
Data stewardshipQuality monitoringMetadata managementPolicy activationCompliance reporting
5
Scale & Optimise — Maximising and expanding value
Once the foundation is established, we work with clients to identify and deliver the next wave of value: expanding AI use cases, optimising platform costs and performance, building self-service capability, and evolving the roadmap in response to business and technology change. We measure outcomes rigorously and ensure investment in data and AI translates into demonstrable business value.
AI use-case expansionPlatform optimisationBenefits measurementCapability upliftRoadmap evolution
Technology alliances
Built on leading platforms
We maintain deep expertise and alliance relationships across leading cloud, data and AI platforms — ensuring we can design and deliver the right solution for your environment.
Cloud Infrastructure
Amazon Web Services
Cloud Infrastructure
Google Cloud Platform
Data Platform
Microsoft Fabric
Data Warehouse
Snowflake
Data & AI Platform
Databricks
Data Virtualisation
Denodo
Business Intelligence
MicroStrategy / Strategy
Data Integration
Informatica
Data Integration
Talend
Analytics & BI
Tableau
Analytics & BI
Qlik
CRM & Data Cloud
Salesforce
Industry experience
Sectors we serve
We bring sector knowledge that shortens time-to-value — understanding the regulatory context, data patterns and business drivers that shape your environment.
🏛️
Government
Federal and state agencies. Large-scale transformation with security, sovereignty and compliance at the core.
🏦
Banking & Financial Services
Data platforms for risk, regulatory reporting, customer intelligence and operational analytics.
🏗️
Construction
Project performance analytics, supply chain data integration, and enterprise reporting for major groups.
📺
Media
Subscriber analytics, content performance, and advertising data platforms for broadcast and streaming.
📡
Telecommunications
Network analytics, customer data platforms and operational intelligence for large-scale telco environments.
🏥
Healthcare & MedTech
Clinical and operational data platforms, real-world evidence analytics, and AI-enabled health insights.
🎓
Education
Student, research and operational data platforms for universities seeking enterprise-grade analytics.
💡
New sector?
Our methodology translates across industries. Talk to us about your context.
Track record
A strong track record. Ask us who our clients are.
We respect the confidentiality of our client relationships. Our engagements span 2016–2026 across government, banking, media, telecommunications, healthcare and education. We're happy to discuss our experience and relevant reference points in a conversation.
Tier-1 clients across government and enterprise
Since 2016, KinetIQ has delivered data and AI programs for some of Australia's most complex and demanding organisations — including Federal and State Government agencies, major financial institutions, ASX-listed corporates, national telecommunications carriers, and leading universities.
Client identities are shared in confidence during commercial discussions.
Whether you're scoping a data transformation program, seeking advisory on platform selection, or exploring what AI could mean for your organisation — we'd welcome the opportunity to discuss how KinetIQ can help.
Thank you for your enquiry. We'll be in touch within one business day.
Proven delivery
Case studies
A selection of delivery engagements spanning 2010–2025, presented by sector. Client names are withheld in accordance with our confidentiality commitments — we're happy to discuss in conversation.
Healthcare & MedTech2023–2025$21.8m program
Rescuing and leading a global Data & AI transformation for a listed MedTech company
A globally listed medical device manufacturer had a data strategy three years stalled with no governance framework, no analytics platform, and AI ambitions unrealised. KinetIQ was engaged as Program Director to rescue and lead the Data-as-an-Asset (DA3) program from scratch — simultaneously standing up enterprise data governance, a new analytics platform (SONAR), and the organisation's AI capability, while supporting a concurrent $100m+ ERP migration from Oracle to SAP.
Established enterprise data governance framework and operating model across global business regions
Designed and launched SONAR — the foundation analytics and data marketplace platform — integrating Snowflake, Informatica, Tableau and Salesforce
Led AI proof-of-concept deploying Microsoft Fabric and MS Co-Pilot across the Marketing domain for targeted B2B/B2C campaign personalisation
Piloted Informatica CLAIRE AI Engine to automate data discovery, quality and pipeline generation
Served as Global Data Lead for the ERP migration, covering data conversion from Oracle to SAP, analytics requirements, and legacy data archiving strategy
Ran competitive RFP process, selected and contracted Systems Integrator partner
Restructured the Analytics, Data & AI (ADA) division and recruited data engineers, architects, modellers and analysts into the new operating model
Presented multi-horizon business cases to C-Suite and Investment Committee securing staged program funding
Standing up enterprise data governance and rescuing a stalled unified data platform for a national telco
Australia's second-largest telecommunications carrier required urgent oversight of two failing data programs: a new Data Governance & Strategy capability, and a Unified Data Platform (UDP) migration. Multiple streams were running red with offshore vendor delivery at risk. KinetIQ was brought in as Senior Program Manager across both departments simultaneously.
Initiated a 10-initiative Data Governance program — delivering an enterprise DG framework, Data Quality operating model and Data Accountabilities Framework aligned to Executive Committee commitments
Led Personal Information mapping and data profiling across 400+ high-risk applications in response to a major data breach, meeting ASIC and privacy compliance obligations
Delivered enterprise Data Catalogue and Customer Satisfaction oversight reporting
Stabilised the Unified Data Platform migration — establishing a path-to-green plan for Databricks and Azure uplift from legacy Teradata and Cloudera platforms
Managed onshore and offshore vendor teams (Infosys, TechMahindra) and complex multi-party delivery governance
Delivered new Customer Master Data Management (CMDM) and Customer Data Platform backbone
Enterprise data architecture transformation and finance data platform uplift for a leading investment bank
A major investment bank's Fund Management Group had completed an internal data architecture review and required a Program Manager to translate findings into four concurrent delivery streams — modernising data architecture, migrating a legacy data warehouse to a cloud lakehouse, and implementing event-based real-time integration for finance data flows.
Launched and managed four program streams delivering Target State Data Architecture, data warehouse transition to AWS-based Corporate Data Hub (lake/lakehouse), and real-time event-based integration
Implemented solutions to bring offline data online, embed manual adjustments within the data supply chain, and move data transformations closer to source
Facilitated Agile ceremonies across both the FMG and Enterprise Data & Digitalisation Programs including Big Room Planning and monthly showcases
Presented at three governance levels: weekly PLT, fortnightly LIFT SteerCo, monthly Management Committee
Managed technology partner contracts, procurement and stage gate funding submissions
Transitioned completed streams into BAU service and executed program closure
AWS RedshiftAzure Data FactoryMicroStrategyCollibraPowerBIAlteryx
Retail & FMCG2021$6.9m program
Augmented analytics platform and cloud migration for Australia's largest retail group
Australia's largest supermarket group sought to introduce a predictive insights platform leveraging machine learning across its Stores and Buying divisions, while simultaneously migrating enterprise analytics from SAP Business Warehouse to Google Cloud Platform and Tableau. KinetIQ was engaged to lead six concurrent program streams across both initiatives.
Led human-centred design initiative to map business capability and data requirements across National, State, Zone and Store management tiers
Delivered finance analytics re-platforming — re-engineering data pipelines from SAP BW into GCP BigQuery and re-developing dashboards in Tableau
Evaluated augmented analytics vendors, established target architecture and delivered technical proof-of-concept for Woolworths Metro stores
Built the program team from scratch including data engineers, analysts, Tableau developers and QA engineers
Delivered exceptions-based predictive reporting into BAU operations for the Stores business unit
Embedded the platform into service and transitioned to the internal team
Google Cloud (BigQuery)InformaticaTableauSAP BWAzure Data FactoryThoughtSpot
Banking & Financial Services2019–2020$14m program
Data and analytics delivery for an $800m regulatory remediation program at a major financial institution
In the wake of the Commonwealth Royal Commission into financial misconduct, a major wealth management institution was required by ASIC to remediate over $800m in inappropriate advice and fee charges to customers. KinetIQ provided senior data and analytics program leadership across two sub-programs — Advice Remediation and Fee Remediation — delivering the analytical infrastructure to identify, calculate and automate remediation payments at scale.
Delivered Fee For No Service (FFNS) Dashboard — providing real-time visibility over remediation status and payment volumes
Designed and delivered Remediation Data Lake — migrating disparate source data into a consolidated analytical environment
Built text-mining and analytics solutions to identify incorrect active and inactive advisor fee payments across millions of accounts
Delivered enterprise Robotic Process Automation (RPA) to automate low-value advisor remediation payments
Integrated CRM (Salesforce) with remediation data platform for case management and customer communications
Managed a large multidisciplinary team of data engineers, scientists, architects, BAs, testers and CRM specialists
Rescuing a cloud AI and analytics platform after three failed delivery attempts for a major broadcast group
Australia's largest pay-TV operator had attempted three times over 18 months to stand up a cloud-based AI and ML analytics platform for viewer behaviour and predictive user patterns. All three attempts had failed. KinetIQ was engaged on a 12-week discovery program to diagnose the failures, rebuild the program case, and put delivery back on track.
Conducted a forensic review of three failed delivery attempts — identifying root causes across scope, architecture, integration approach and vendor management
Refreshed Business Requirements Document and validated currency of requirements after 18 months of drift
Led Solution Architecture Design process with enterprise and platform architects
Prepared two-horizon, six-phase program costing and an investment-ready business case for the Investment Committee
Issued and managed an RFP for new system integration partners
Presented weekly progress to a C-suite Steering Committee including the CIO, Chief Data & Analytics Officer and Head of Architecture
Construction & Property2018–2019$5.1m (5 projects)
Enterprise data hub and analytics platform delivering $6m annual savings for a global construction group
A global top-10 construction and property group required a data-driven project performance analytics platform across its Australian Building business — replacing manual reporting with push-button analytics and laying the foundation for a global Enterprise Data Hub. KinetIQ delivered five concurrent analytics initiatives across project reporting, customer service, self-service analytics and supply chain intelligence.
Designed and delivered the InSite Analytics Platform — a data-vault based Enterprise Data Hub built on SQL Server with Informatica integration and Tableau visualisation — achieving $6m per annum operational efficiency saving
Phase 1 release endorsed by Group CIO for global rollout as the standard project reporting and tracking platform
Delivered Customer Service Centre dashboard integrating Salesforce, Zendesk and Google Analytics into the EDH
Advised Group CIO to rescope and redirect a failing self-service analytics project — establishing a Tableau/Alteryx Analytics Community of Practice instead
Migrated UK-developed supply chain data warehouse to the Australian EDH environment
Delivered Engineering Project Start-Up Dashboard in 3 weeks against a 12-week plan by leveraging the EDH foundation
Rescue of a two-year enterprise branch analytics program for one of Australia's Big Four banks
Australia's largest retail bank had been running a two-year program to build an in-house analytics platform servicing over 1,000 retail branches nationally. The program had significantly overrun scope and budget and was at risk of non-delivery. KinetIQ was engaged to rescue the program, reset delivery and ensure the platform reached branches successfully.
Conducted a full gap analysis — reviewing scope, spend, accepted deliverables and team capability against original program commitments
Assessed all three internal projects, working with each project manager to establish viable path-to-green plans
Prepared detailed consolidated budgets tracking spend-to-date against remaining commitment
Managed change requests through the global IT Change Advisory Board and communicated to affected branch networks
Streamlined sprint deliverables to best deliver program milestones within reduced scope
Worked with Change Managers to ensure branch rollout was effectively implemented, tested and accepted nationally
Open Data program and self-service BI platform for a Federal industry portfolio department
A Federal Government industry portfolio department required a program leader and lead solution designer to initiate its Open Data Program — delivering a self-service analytics platform, data quality and master data management capability, and a public-facing data portal — while concurrently supporting a Single Business Service Programme across the agency.
Established the Open Data Program — including Vision & Strategy, Stakeholder Engagement, Benefit Realisation Plans, Blueprint and Business Case
Designed enterprise BI, data virtualisation, data warehousing and public-facing analytics solutions as Lead Solution Designer
Procured program technologies and specialist service providers through AusTender processes
Contributed advanced analytics and data discovery capability across the departmental architecture practice
Delivered data quality and master data management framework aligned to Departmental ICT Investment Roadmap
Enterprise Information Management program — data warehouse, BI, CRM and governance for a central finance agency
The Commonwealth's central finance agency required both a Lead Solution Architect and sub-Program Manager to deliver its Information Management Program — designing and implementing an Enterprise Data Warehouse, Business Intelligence capability, CRM system and collaboration portal, reporting directly to the Department's CIO.
Designed the Program Solution Architecture and component designs for the EDW, BI/reporting capability, CRM and Finance Exchange collaboration portal
Developed the IM Security & Access Framework, Metadata Repository, Master Data Management Index and Deployment Architecture
Established Finance's information taxonomies, data quality strategies and metadata management strategy
Procured enabling technologies including MicroStrategy and Microsoft Dynamics CRM through whole-of-government procurement
Project-managed the foundation Establish IM Product Capability Project (EIMPC) and recruited transition and support team
National water reform data platform — centralised architecture, data quality and reporting for a Federal environment agency
The Federal Government's National Water Market System (NWMS) required a multi-year program to establish a cross-jurisdictional data architecture for water trading and registration across all Australian states and territories. KinetIQ's principal delivered across multiple phases — from discovery and architecture through to Common Registry System design — spanning the Department of Environment and later the Department of Sustainability.
Developed the Reference Information Model — a cross-jurisdictional data architecture underpinning the national water trading and reporting system
Designed master data repository serving as the national water record index across all jurisdictions
Led data quality framework design to build information management capability between States, Territories and the NWMS
Designed six Category 6 Water Reports for the Bureau of Meteorology under the Water Act
Led team of architects to design consolidated data warehouse, reporting and analytics, data services and operational data store for the Common Registry System
Coordinated technology vendor workshops, evaluated solutions and presented recommendations to the Assistant Secretary
National mobile BI platform delivering aged care performance metrics to 400+ facilities
A specialist healthcare analytics firm required a Lead Data Architect and Project Manager to design and deliver a cloud-based, mobile-first BI solution sourcing Medicare Aged Care data — providing standardised performance metrics to over 400 aged care facilities nationally through iOS-based devices.
Designed the ETL architecture integrating Medicare Aged Care source systems with a cloud data warehouse
Built the Aged Care Data Warehouse Repository and BI delivery mechanism optimised for mobile consumption
Delivered iOS-based mobile reporting application to 400+ aged care facilities nationally
Designed aggregated reports and interactive mobile dashboards for facility operators and administrators
SQL ServerSSISMicroStrategyiOS / Mobile BICloud Data Warehouse
Government2008–2009$3.1m
Enterprise network performance monitoring and BI platform for the Department of Defence
Defence's Chief Information Officer Group required a Senior Project Manager and Lead Analyst to deliver an end-to-end data capture, monitoring and reporting capability for the Defence Restricted Network (DRN) — providing performance intelligence across domestic and international Defence sites under a PRINCE2 framework.
Delivered enterprise BI capability for DRN performance data across domestic and international Defence sites and bases
Led requirements analysis, business case, project and stage planning under PRINCE2 methodology
Managed vendor evaluation and selection for network monitoring hardware and software
Conducted analysis of existing CIOG network infrastructure and led procurement process including RFT and Statement of Work
Contributed performance management data to CIOG balanced scorecard and management dashboards