Azquo Making Spreadsheets
Compliant, Capable & Scalable
Azquo Making Greater Transparency & Accountability.
Delivering Confidence In Spreadsheet-Driven Data.
Built On The Spreadsheet Skills You Already Have.
Azquo — A Flexible Data Engine Built for Spreadsheets
Azquo is a data storage and analysis engine that works with spreadsheets rather than replacing them. It combines the flexibility of Excel with the structure, auditability, and scalability of a database — without requiring SQL, BI tools, or specialist IT involvement.
Data from any source — transactional records, budgets, planning parameters, operational metrics — can be loaded into a single Azquo database at any time, without schema changes or migration scripts. Reports are ordinary Excel workbooks connected live to the database, and the connection is two-way: data flows into the spreadsheet for analysis, and values entered or calculated in the spreadsheet can be written back.
Azquo Know The Hidden Risk in Everyday Spreadsheets
The limitations of spreadsheets are well understood:

Where Did This Number Come From?

Who Amended It, Why & How Has It Changed?

Can The Calculation Be Trusted?

Would This Stand Up To Scrutiny?
In many organisations, critical decisions rely on spreadsheets without a clear audit trail or shared accountability, increasing risk unintentionally.
What Makes Azquo Different
Azquo stores data as names in hierarchies, not as rows in tables. A product, a week, a cost centre, and a sales channel are all names. Any name can belong to multiple hierarchies simultaneously, and numeric values are anchored to sets of names rather than to cells in a fixed grid.
This means a single revenue figure attached to Week 12, Email, Actual, 2024/25, and Gross Sales is automatically queryable by any combination of those dimensions — and at any level of aggregation — without pre-built cubes or summarisation steps.
New categories, groupings, and hierarchies can be created at any time by uploading a simple spreadsheet. They become immediately available in every report. There is no need to modify ETL pipelines, rebuild cubes, or involve IT.
Find Out More About Azquo
Why Organisations Use Azquo

Simplicity
Azquo is designed for business users. It works with existing spreadsheet skills, reducing reliance on specialist IT resources.

Compliance
Every value in the database carries a full provenance record — source file, sheet, user, and timestamp. Any figure in any report can be traced back to the exact upload that created it, providing a complete audit trail without separate logging infrastructure.

Accountability
Data flowing in and out of spreadsheets can be monitored, labelled, and controlled. Individual values are traceable and explainable, supporting better decisions and internal confidence.

Flexibility
New data, assumptions, and structures can be introduced at any point without rigid systems or heavy IT involvement. Business requirements that were not anticipated at design time can be accommodated immediately.
Designed for Business, Not IT Departments
Azquo is built for organisations that rely on spreadsheets but need greater confidence in their data, particularly:

Senior Decision-Makers Responsible For Outcomes

Organisations Seeking Audit-Ready Data Without Disruptive System Change

Compliance & Risk Professionals
By improving visibility and control, Azquo supports better governance without slowing teams down.
A Different Approach To Data Control With Azquo
Traditional databases demand that data conforms to a predetermined structure. OLAP cubes require fixed dimensions decided in advance. Azquo adapts its structure to the data. It occupies the space between relational databases and OLAP cubes — operating in memory with direct links for speed, accepting data from any source without schema changes, aggregating across arbitrary hierarchies, and letting business users build sophisticated analytical models entirely within Excel.
Let’s Talk – Contact Azquo
If your organisation relies on spreadsheets and needs greater transparency, accountability, and confidence in its data, a short conversation will soon discover if we can help you. We look forward to hearing from you.