Enterprise Data
Moved Faster.

Enterprise organisations are investing heavily in AI pilots and modern digital infrastructure. But most will fail to realise impact at scale, because their underlying data infrastructure is fragmented, brittle, designed for a different era.

To realise the full value of AI—enterprise-wide efficiency, intelligent automation, and future-ready services—organisations must first modernise their data foundations at scale, starting with data unification and migration.

Traditional approaches to data migration and unification are renowned as slow, expensive, inflexible and siloed.

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Dadoota is a next-gen data unification and migration solution for complex, high-stakes enterprise programs. It delivers faster, smarter, and safer results through a self-serve, no-code, unique collaborative ecosystem, enabling business experts and technologists to work asynchronously, resolving resource constraints early in the ETL process to eliminate traditional data migration bottlenecks.

Data-proven impact.

Dadoota’s promises are not theoretical. During one of Australasia’s most complex data programs, Dadoota delivered significant efficiency and data integrity gains—all at a fraction of the cost of traditional solutions.

Consolidated
1000
Distinct source systems
Saved
~$20m
Through resource optimisation alone
Migrated
1 billion
ERP records
Managed
800k
Data Mapping rules
Saved
60%
less than alternative solutions

What Dadoota does best.

Able to consolidate data from many disparate data stores, schemas, and formats into a single source of truth, execute complex data transformations with over billions of records of data, and manage hundreds of thousands of data mapping and quality rules effortlessly,  Dadoota is ready for complex, hi-risk data unification and migration missions including:

Accelerating AI-Ready Enterprise Data Foundations

Unifying Data Silos

ERP transformations

Acquiring or consolidating the data of multiple large organisations (ie; mergers and consolidations)

 Aligning to new data standards

Repeat migration of customer data

Migrating complex ‘many-to-multiple’ and many-to-one unification programmes

Pre-ETL Optimisation to de-risk the preparation of data from multiple source systems before the transformation phase, avoiding huge future technical debt.

Human centred,
results driven.

Dadoota’s unique solution is effective because it solves for ‘people’ complexity, process inefficiency and the prevalence of silo’d, fragmented data;  the ‘Enterprise Data Bottleneck’ factors synonymous with traditional complex migrations.

Dadoota’s business-led, tech-supported solution features a workflow model that encourages business experts and technologists to collaborate asynchronously for maximum efficiency. It’s features drive behaviour that unlocks data silos, assesses data integrity and structure in real-time enabling teams to eliminate unwanted data and co-create the target state a business demands, not the one it’s forced to accept.

Dadoota’s advanced features include;

Mapping
Reduce Risk
Self-Service
Smart Rules Management
Target to source example

Target-to-source Mapping

Target to source mapping enables organisations to create the data end-state they need, not the one they're forced to adopt when using rigid COTS alternatives. Mapping tasks as ‘target to source’, rather than the traditional ‘source to target’ view is a game-changing innovation.

Combine this with the ability to focus on mandatory target attributes, and critical path data mappings can be quickly identified and actioned. This workflow removes the temptation to find a home for all of the data in source systems initially. Non-critical source data can easily be mapped at a later stage as required.

The net result of this innovation is greatly accelerated timeframes, and less waste.

Auditable Tracing System

In-built Audit Trail

Dadoota's Audit ATS (auditable archive and tracing system)  gives organisations full auditability and traceability within a single system meaning you know what happened when at any time.

Recipe

Reduce cost and realise business value faster

Dadoota puts the power in the hands of your people. Existing rigid data migration, ETL and integration solutions are designed for expensive data engineers and integration specialists. They are costly to scale, and typically operate in a silo removed from the business context of your data.

Dadoota empowers your existing people - who know your data best -by utilising a new self-service toolset that leverages human-centred design thinking and behavioural science.

This self-service tool enables your staff to perform the bulk of the ETL tasks, such as the onboarding, mapping and in-built data quality feedback handling.  Dadootas self-service tools are also designed to motivate your people through behavioural-science based gamification, and help you achieve better data quality. By leveraging their existing understanding of the data structure and nuance a Dadoota ETL process is  a more effective one.

Smart Rules Management example

Eliminates effort on low-value, high volume tasks.

Dadoota’s proprietary Rapid SRM (Smart Rules Management) engine enables non-technical users to rapidly iterate on data processing rules, immediately assess the impact of rule changes against existing data sets, and then apply approved rules changes either instantly or based on a set of selection criteria. When guidance is needed, our in-situ two way feedback mechanism keeps communication and file sharing in one place, and serves as an archivable audit trail.

Shortening feedback loops, preventing costly mistakes, eliminating wasted effort from the process, and again, freeing up technical specialists to focus on higher value tasks.

Compare the difference.

Enterprise organisations prefer Dadoota for complex data unifications and migrations because it outperforms traditional alternatives that perpetuate Enterprise Data Bottleneck challenges; high cost, slow speed, with minimal flexibility. 

Traditional solutions also omit Business Users from the process, leaving data unification and migration to IT alone. Without Business Users critical business context is often missed, leading to errors and inefficiencies. These impact significantly when operating at scale.

Why Dadoota beats traditional approaches

Challenges & Problems
Traditional Solutions
Dadoota’s Approach
‍
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
‍
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
‍
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
People Bottleneck
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
Engineers struggle with business data they don’t understand, while business users lack tools to collaborate.
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
Bridges business & tech teams, eliminating inefficiencies before ETL starts.
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
Time wasted on unnecessary work
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
Data teams spend 80% of their time cleaning, mapping, and structuring data they don’t fully understand.
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
Pre-ETL optimization removes unnecessary work, cutting time by 40-60%.
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
Lack of Business Context in Data Transformation
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
ETL teams work blindly, leading to costly rework, data mismatches, and delays.
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
Target-to-source mapping ensures transformation starts with business needs in mind.
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
High Dependency on Expensive Technical Resources
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
Requires large, slow-moving teams of engineers & data scientists.
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
Allows business & tech teams to collaborate easily, reducing resource costs.
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
Slow, expensive migrations
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
Takes years and costs millions
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
3x faster execution, 40-60% cost savings
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
Business users left out
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
IT teams work in isolation, creating blind spots
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
Business & IT collaborate from Day 1, eliminating errors
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
Data isn’t AI ready
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
Ai projects fail due to fragmented low-quality data
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
Pre-ETL optimisation ensures structured, AI ready data
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
Overcomplicated ETL pipelines
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
Manual, inefficient, and slow to deploy
Challenges & Problems
Traditional Solutions
Dadoota’s Approach
Automated, intelligent data unification – even before ETL starts

How Dadoota compares to other products

Feature/Capability

Dadoota

Informatica

Talend

Fivetran

Coalesce

Quantexa

Core Focus

Bridges business  & IT teams, eliminating inefficiences before ETL even starts

Traditional ETL, data integration

Open-source ETL, data pipelines

Cloud-native ELT, connector-driven

Snowflake-native ELT automation

Risk & fraud-focused decision intelligence

Pre-ETL Optimization

Core to value proposition

Manual mapping required

Basic

Not supported

Source-to-target only

Not relevant

Asynchronous, business–tech collaboration

Native feature, no-code interface

Complex via MDM tools

Requires custom workflows

IT-driven only

Engineer-only UI

Not a collaboration platform

Democratized, self-serve interface

Yes – built for business users and data teams

Limited to data engineers

Requires technical expertise

(to a degree, but only for connectors)

Engineer-only UI

Not a collaboration platform

Target-to-source data modeling

Yes – business-defined targets first

Source-led transformation

Source-first

Source-first

Source-first

Not relevant

Blind spot & data quality detection

AI-surfaced & collaborative

Requires manual profiling & rules

Basic data quality add-ons

Not built for discovery

Limited profiling

For risk entities only

AI-readiness

Designed for AI training & automation

Output often needs post-processing

Output often needs post-processing

Not AI-focused

Not AI-focused

AI-native, but specific to risk/fraud

Data-centric AI strategy enablement

Core to the platform

Post-process step

Not AI-specific

No AI context

No AI context

AI-native, risk-focused

Governance & traceability

Change history, audit logs, RBAC

Full MDM, but complex

With add-ons

Basic

Basic audit trails

Enterprise-grade

Works with legacy + cloud systems

Hybrid-first, enterprise-scale

Yes

Yes

Cloud-first, limited legacy support

Snowflake only

Focused on specific data types

Use case flexibility

AI, smart cities, energy, government, enterprise transformation

Complex projects only

Mid-size companies or dev-centric orgs

Replication only

Snowflake-specific

Limited to financial/risk contexts

Time to Value

Weeks to months

12–24 months typical

9–18 months + services

Fast, but limited depth

Fast if Snowflake-based

 Long, services-heavy

Cost Efficiency

40–60% lower than traditional approaches

High TCO + services

Lower upfront, high services

Cost-effective, limited scale

Low cost, narrow focus

Expensive, high services requirement

No code, no friction; just business experts and technologists achieving the outcomes you need.

Dadoota’s business and technology collaborative workflow ecosystem creates a new way of working that supports staff, encourages collaboration and feedback, and unblocks friction to achieve the data state you need.

A typical data migration
Cell copy
A Dadoota migration
A typical data migration
Cell copy
A Dadoota migration
A typical data migration
Expensive IT specialists lack context
A Dadoota migration
Business experts with context empowered to contribute directly, in their own time.
A typical data migration
Business staff who know the data best aren’t enabled to contribute their efforts directly.
A Dadoota migration
IT specialists freed up to work on the technical challenges that truly need them.
A typical data migration
Any collaboration relies on workshops, emails, and informal chats. High-risk decisions are made inefficiently with no audit trail.
A Dadoota migration
When collaboration is needed, Dadoota connects the right people and records all decisions in an auditable way.
A typical data migration
Some newer approaches are using AI to speed up data unification work. But AI lacks the business context so its decisions, can create years of tech debt and delay true AI enablement.
A Dadoota migration
AI is utilised as an accelerator, NOT a key decision maker.
A typical data migration
Depending on solution used, the outcome might be achieved, mostly achieved, somewhat achieved, or not achieved, but at greater cost, more time.
A Dadoota migration
Desired state outcome achieved with high quality data foundations

See Dadoota in action.

See all the main features of Dadoota in this walk-through of a white label version of the product.

Ready to adopt today, built to adapt tomorrow.

Dadoota is ready for your cloud environment - natively available on AWS today, with upcoming releases scheduled for Google Cloud Platform, Microsoft Azure, IBM Cloud and Red Hat Open Shift.

Google Cloud logoAWS LogoAzure LogoRed Hat OpenShift LogoIBM Cloud Logo

Dadoota is purpose-built using cloud-native architectures to deliver unparalleled scalability, flexibility, and interoperability:

01.
Contained-Based Versatility
Designed for mission-critical environments, Dadoota leverages an entirely container-based and function-driven deployment model, ensuring elastic performance optimization across any infrastructure—public, private, hybrid, or edge.
02.
Agility without compromise
Unlike traditional enterprise or rigid SaaS data solutions, Dadoota provides full control over data while seamlessly integrating with existing identity and access management systems. This ensures organizations benefit from the agility of SaaS without compromising sovereignty, security, or adaptability.
03.
Efficient performance, sustainable to operate.
Dadoota's architecture is built on widely adopted yet cutting-edge technologies, including React for front-end agility and Quarkus Supersonic Subatomic Java for ultra-efficient back-end performance. This ensures long-term sustainability and developer accessibility, reducing reliance on niche or high-cost talent pools.
04.
Intelligent automation
At the forefront of AI-driven automation, Dadoota is evolving beyond conventional data mapping by embedding intelligent automation throughout the data lifecycle. Our AI roadmap—leveraging our partners such as DataStax, Red Hat, and Nvidia—accelerates and enhances data unification, reducing human toil and operational costs. By integrating advanced AI capabilities such as retrieval-augmented generation (RAG), vector search, and autonomous mapping agents, Dadoota minimizes friction in large-scale data transformation programs.
05.
Extend & Adapt at pace
Recognizing the complexity of enterprise-scale data environments, Dadoota also includes a built-in autonomous software factory, enabling organizations to rapidly adapt and extend functionality without lengthy customization cycles. Grounded in industry-leading DevOps, Site Reliability Engineering (SRE), and software supply chain security best practices, this capability ensures that organizations can innovate at speed while maintaining enterprise-grade reliability.
06.
Ahead of the game
Dadoota remains committed to enabling frictionless, scalable, and secure data interoperability. Through deep partnerships with global technology leaders, we are pioneering new approaches to intelligent data management that redefine efficiency and adaptability in complex digital ecosystems.

Mission tested tech and design team

Dadoota’s technology team brings deep expertise in designing and delivering high-stakes, mission-critical solutions for sectors where security, reliability, and precision are paramount.

With experience spanning border security, law enforcement, defence, energy, and national security, our team has built and deployed solutions that are actively in use across the globe.

Our engineers and specialists hold various levels of security clearances across multiple jurisdictions, having undergone rigorous reference checks to meet the highest standards of trust and operational integrity. Additionally, our liability coverage—supplied by Berkshire Hathaway—further underscores our commitment to risk mitigation and delivery excellence in complex, high-compliance environments.

Join the team

Dadoota is hiring developers, digital product designers based across the Indo-Pacific region to support our Implementation and Product teams.

Register your interest
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