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Unify Data Modelling, Engineering, and Governance

Let us bring together data modelling, engineering, and stakeholder engagement to the core of technology agenda without the need for extra hardware or software upgrade

Define data structures, express rules to validate these attributes, enforce engineers to conform to this validated model, and visualise up-to-date map of the Enterprise Data and Service  landscape all in one place.

We called this modern data infrastructure ALFA.

How data modelling can be used in agile continuous integration delivery by data modellers architects developers to build and deliver low code applications

Redeploy Engineers to higher-value activities

The data model and rules are version-controlled through an organisation's existing software development lifecycle. These models and services are reusable codes that eliminate duplicated effort, enforces consistency, and accelerates IT delivery time (automation of task and processes).

Data models, rules, APIS are stored in GIT. Documentation and code is generated is published to repositories to be consumed by developers and applications to deliver solutions
Types of data model constructs captured in ALFA

Accelerate Engineering through low-code

Uniquely capture data models, APIs, Rules, and Transformation all in one place. Models artifacts are generated to code, ready for use by multiple teams.  

Seamless integrate with legacy & strategic systems

Integrate into existing strategic applications to benefit from well-defined, validated data and APIs.

For legacy applications, use at data interchange layers to ensure data being published is adheres to the model and rules.

Enforce Data Quality at Data Producers either legacy or strategic producers
How model driven data quality is enforced at different layers of technology

Guarantee data quality

Existing and legacy applications payloads are validated by ALFA runtime utilities before being published (at source), with no change to underlying applications. We address all dimensions of data quality.

Consistency and repeatably deployment to multi-cloud

With no need for extra hardware or software upgrade. 

Use ALFA generated code in existing applications or from integration layers for legacy applications.

Consistent models and API across on premise and cloud

How Do We Simplify your Data Architecture? 

Holistic data infrastructure. Versionable data models and services in one place.

Single source of truth. Data lineage, Ownership,  and Metadata.

Eliminate need for multiple reconciliations and manual adjustments. 

Full visibility on data model and services changes over time. 

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