Alternatives · Aurum

An alternative to manual data cleansing

An alternative to manual data cleansing: a local, on-prem alternative for Azerbaijani business — see how Aurum compares.

A Controlled Alternative to Manual Data Cleansing

Many businesses in Azerbaijan continue to rely on fragmented spreadsheets, custom scripts, or generic tools to manage their data consolidation. These manual methods are inherently slow and prone to human error, often leaving critical duplicates unresolved and leaving the data's origin invisible. This lack of transparency creates significant risks for organizations that require high data integrity and a clear understanding of their information lineage. Aurum, developed by Allmaz, solves these challenges by providing a robust, on-premises solution designed for total control. By utilizing a deterministic matching engine, Aurum identifies and merges duplicate records into a single, authoritative golden master. The system integrates automatic classification via the UNSPSC taxonomy and ensures that a human steward remains the final decision-maker. With a design that prioritizes reversibility and a comprehensive audit trail, Aurum transforms chaotic datasets into a trusted corporate asset.

Capabilities

Why Teams Choose Aurum Over Manual Cleansing

Eliminate duplicate records automatically to create a single, authoritative golden master record for every entity.

Maintain absolute oversight with a human-in-the-loop workflow where no AI proposal is published without explicit approval.

Ensure maximum data security by running the entire system on-premises within your own local infrastructure.

Mitigate risk with a reversible-by-design architecture that stores edits as overrides rather than modifying source data in-place.

Guarantee accountability through a full audit trail and detailed source lineage available for every individual record.

Standardize procurement and spend analysis by automatically classifying records into the global UNSPSC taxonomy.

Core Capabilities of Aurum

Deterministic Matching Engine

Aurum uses a rule-based, deterministic approach to identify and merge duplicate records. The logic is transparent and predictable — you always know why two records were matched.

Golden Master Record

Matched duplicates are consolidated into a single golden master record, giving your organisation one trusted version of the truth without discarding source data.

Human-in-the-Loop Approval

Every suggestion made by the system must pass through a human steward before it is published. No automated change goes live without a person signing off on it.

Reversible by Design

All edits are stored as overrides on top of the original data. Nothing is modified in-place, so any change can be rolled back at any time without data loss.

UNSPSC Taxonomy Classification

Records are automatically classified into the internationally recognised UNSPSC taxonomy, making procurement and spend analysis consistent and comparable.

Full Audit Trail and Source Lineage

Every record carries a complete history of changes and a clear link back to its original source, supporting compliance, governance, and internal review processes.

The Aurum Workflow

1Connect your data sources — Aurum ingests records from your existing systems without altering the originals
2The deterministic matching engine identifies potential duplicate records and groups them for review
3A human steward reviews each proposed match and either approves or rejects it before anything is published
4Approved matches are merged into a single golden master record, with all edits stored as overrides
5Records are automatically classified into the UNSPSC taxonomy for consistent categorisation
6Every action is logged — a full audit trail and source lineage are maintained per record for governance and traceability

Frequently Asked Questions

Does Aurum modify my original source data?

No. Aurum is reversible by design. All edits are stored as overrides on top of your source records, meaning the originals are never changed in-place and any modification can be safely undone.

Can the system publish changes without a human reviewing them?

No. To ensure total accuracy, no AI proposal is published without human approval. A designated steward must review and confirm every suggested match or classification before it takes effect.

Where is our data processed and does it leave our infrastructure?

Aurum is an on-premises solution. All data is processed within your own infrastructure, ensuring compliance with local Azerbaijani data governance and security requirements.

What is the UNSPSC taxonomy and how does it benefit my data?

UNSPSC is an internationally recognised classification system for products and services. Aurum automatically classifies your records into this taxonomy, enabling consistent reporting, better spend analysis, and global comparability.

How does Aurum handle accountability and traceability?

Every record in Aurum maintains a full audit trail of all changes and a clear source lineage link back to its origin, providing the transparency needed for internal governance and compliance reviews.

Replace Manual Cleansing With an Auditable Process

See how Aurum can help your team build a trusted, deduplicated data foundation — on your own infrastructure, with humans in control at every step. Get in touch with the Allmaz team to arrange a demonstration.

Request a demo