Turn enterprise data into trusted decisions
AO helps organisations create the data foundations, engineering capability and analytical experiences required to make better decisions. We build data platforms, warehouses, dashboards and AI-enabled analytical tools and provide the specialist professionals needed to operate them.
What organisations need to overcome
Organisations often hold valuable information across multiple systems, spreadsheets and departments. Inconsistent definitions, poor data quality and limited access prevent leaders and teams from using that information with confidence.
Business outcomes we engineer for
- 01Create a trusted and governed enterprise data foundation.
- 02Combine information from fragmented systems.
- 03Improve reporting accuracy and decision-making speed.
- 04Move from retrospective reporting to predictive insight.
- 05Allow business users to interrogate data more naturally.
- 06Build internal data and analytics capability.
What we bring
Data strategy
Define the data architecture, operating model, governance and delivery roadmap.
Data warehouses
Design and build centralised analytical data platforms.
Enterprise data platforms
Implement modern platforms or resell appropriate enterprise technologies such as Snowflake.
Data engineering
Build reliable data ingestion, transformation and processing pipelines.
Business intelligence
Create dashboards and reporting experiences for operational and executive use.
AI-enabled analysis
Help users interpret and question organisational data through AI-assisted analytical experiences.
Data science
Develop predictive, statistical and machine-learning models.
Data governance
Improve data ownership, quality, lineage, definitions and access controls.
Database administration
Support database performance, resilience, security and maintenance.
Specialist data teams
Provide data engineers, data scientists, BI specialists and database administrators through AO Connect.
How AO delivers
- 01
Define
Confirm the decisions, measures and business questions the data platform must support.
- 02
Assess
Map current data sources, quality, ownership, security and dependencies.
- 03
Build
Create the data platform, pipelines, models and governance controls.
- 04
Experience
Deliver dashboards, reports and AI-assisted analytical experiences.
- 05
Operate and improve
Monitor quality, performance, adoption and emerging analytical needs.
Platforms and technologies
Frequently asked
Can AO build a data warehouse from the ground up?
Yes. We design the data model, ingestion pipelines, storage layer, governance and reporting layer, and can start with a single high-value domain before extending.
Does AO work with Snowflake?
Yes. We work with Snowflake alongside Microsoft data platforms, Azure SQL and Power BI, choosing the stack that suits the workload and existing environment.
What is AI-enabled analysis?
Using AI to accelerate exploration, summarisation and anomaly detection over governed data, with results traceable back to the underlying figures.
Can AO provide data specialists?
Yes. Data engineers, analysts and BI specialists can be embedded in customer teams through AO's resource augmentation capability.