Data Migration Services
Cutover plans, reconciliation, and rollback options when moving between ERP, CRM, or legacy databases, minimising downtime for Australian operations.
Data Management Services in Australia
Dev House Australia is a data management company that helps Australian startups and enterprises govern, integrate, and protect information across its lifecycle. We deliver migration, master data, cloud operations, quality, and analytics readiness, backed by 14+ years of delivery through Dev Centre House globally and local collaboration across Sydney, Melbourne, Brisbane, and nationwide programmes.
CLIENTS
Recognised by the Best
IFAV HUB
EvryVision
ZAGG
BMW
WrkWrk
SpeakToFile
EI Electronics
MedXNote
Prosperity
Planitas
AEM Ireland
Emere
Careers Portal
Kurd Shopping
Mophie
FindQo.ie
Tenantin.ie
Dialsave
Patrick Ward & Co. Solicitors
Smart Pricer
Sitara Medical Clinic
Noel's Restaurant
R&B Concrete Pumping
Sextherapy.ie
M&I Interiors
Tenoo Restaurant
Boatbookings
Gyst
Partners Logistics
Broker IQ, YAVIA
Fenchurch Legal
Glenveagh Homes
The Matt Haycox Group
Panacea Financial Bank
Primis Bank
Medserv Medical
Scope
Data Management Services We Deliver
Dev House Australia covers the full data lifecycle, so your teams work from trusted, well-documented datasets rather than conflicting spreadsheets and ad hoc extracts.
Data Extraction Services
Structured extracts from operational systems, APIs, and documents, formatted for analytics, archiving, or regulatory disclosure.
Cloud Data Management Services
Multi-cloud operations on AWS, Azure, and GCP, integration, cataloguing, and cost controls so data estates stay observable and affordable.
Data Storage Services
Object, block, and file strategies with tiering and lifecycle rules matched to access patterns and retention policy.
Data Transformation Services
Standardised schemas and transformation jobs in dbt, Airflow, or cloud-native services, with tests that catch format drift early.
Data Integration Services
ETL/ELT and iPaaS patterns (Fivetran, ADF, Talend, or custom pipelines) that unify siloed sources into analytics-ready datasets.
Master Data Management
Golden records for customers, products, and suppliers, stewardship workflows and match/merge rules that stop duplicate chaos.
Data Visualisation Services
Dashboards in Power BI, Tableau, or Looker fed by governed datasets, so metrics definitions stay consistent across the business.
Data Security and Compliance
Controls aligned to ISO 27001 practices and the Australian Privacy Act, encryption, access reviews, and audit evidence for regulated sectors.
Ongoing Support
Run support for pipelines, catalogues, and platforms under SLAs, patching, tuning, and enhancement backlogs your internal team can co-own.
Data Governance
Policies, data owners, quality standards, and lineage, making accountability clear for sensitive and business-critical information.
Data Architecture
Logical and physical models that balance performance, cost, and future integration, documented for engineering and leadership sign-off.
Data Analytics
Analytics-ready marts and KPI frameworks that connect operational data to executive and team reporting.
Data Science
Feature stores and curated datasets that give data science teams reproducible inputs, not one-off CSV exports.
Cost
What do data management services cost?
Dev House Australia scopes data management after discovery. Investment reflects data volume, integration complexity, security tier, automation depth, and ongoing support model. Typical factors include:
- Data Volume
- Complexity of Data Integration
- Necessary Security Protocols
- Automation in Data Processing
- Type and Quantity of Data Sources
- Data Retention Period
- Frequency of Data Backups
- Extent of Data Analysis and Reporting
IT Consulting in Action
Browse all Case Studies →-
- E-commerce
- Mobile App Development
- Web Development
- Data Visualisation
- DevOps
- Android
- Kotlin
- iOS
- Swift
- Angular
- Java
- AWS
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- Real Estate
- Mobile App Development
- Web Development
- React Native
- Angular
Reviews & Testimonials
What Our Clients Say
Clutch Review
FAQs
Q: What is involved in data management?
Data management covers how data is collected, stored, integrated, protected, and used across its lifecycle. Dev House Australia helps Australian organisations improve quality and access so decisions rely on consistent, governed information.
Q: How do you develop a successful data management strategy?
Start with business outcomes and critical data domains, then define standards, tooling, and ownership. We facilitate workshops, roadmap prioritisation, and platform choices, implementing governance and pipelines in phases so value appears early.
Q: What are the primary objectives of data lifecycle management?
Confidentiality, integrity, and availability remain central, plus retention and lawful use under Australian privacy rules. Lifecycle management ensures data is created, used, archived, and deleted according to policy.
Q: What distinguishes data governance from data management?
Governance sets the rules, who owns data, quality thresholds, and approved uses. Management executes those rules through platforms, pipelines, and operations. Dev House Australia delivers both, with clear separation so policies are enforceable in practice.
Q: How is data management connected to data security?
You cannot secure data you cannot locate or classify. Management practices, catalogues, access controls, encryption, and monitoring, reduce breach impact and support Privacy Act and ISO expectations. Security is embedded in architecture and run processes, not bolted on after go-live.
Get in touch
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