---
title: "SpendFlow: spend data, cleansing & analysis | McIntosh Systems"
description: "Bring purchasing data into a shared spend data lake. Cleanse and map supplier and category data, then explore dashboards and AI-assisted analysis."
url: "https://mcintoshsystems.com/systems/spendflow"
---

SpendFlow / Spend data and intelligence

# Bring spend data together. Make it useful.

Bring purchasing records into a shared spend data lake. Cleanse values, map suppliers and categories, and use the data for reporting and AI-assisted analysis.

SpendFlow

Ingestion, cleansing, mapping, and analysis.

[Discuss SpendFlow for your business](https://mcintoshsystems.com/contact)

## From source records to business decisions.

### Bring the source data together

Load purchasing records into a common spend model using source profiles. Retain original rows; review and reconcile each load before committing it.

### Cleanse values and map them to your business

Map values to supplier groups, categories, and locations. Administrators maintain terms and ordered rules, review unmapped records, and update mappings.

### Use one data foundation for analysis

Dashboards, exports, and the AI analyst share classified data. See mapping coverage and records that still need attention.

### Answer questions without rebuilding the report

Ask questions, inspect the answer, and save views to a dashboard. Check included dates, records, and limits.

### Check the records behind a finding

Trace spending patterns and findings to the purchases. Download the records for review.

## Fully customized to your business.

Source profiles, mapping rules, categories, and access are customized to your data and reporting needs.

Original records remain available. Cleansing and classification happen within SpendFlow, without changing source systems.

## Put it to work in your process.

SpendFlow is one of the tools we can bring to an improvement engagement. We tailor the implementation around the work your team needs to do and the business benefit it should create.

Reusable components within our proprietary platform help us implement the supporting application quickly and at an effective cost.

[How an engagement works](https://mcintoshsystems.com/framework)[Software usage and ownership](https://mcintoshsystems.com/platform)

## Questions about SpendFlow

**What does SpendFlow's data lake include?**

Original records, a common spend model, and mapped business dimensions for dashboards, exports, and AI-assisted analysis.

**How does SpendFlow cleanse and map data?**

Source profiles normalize files. Ordered rules map suppliers, categories, and locations. Mapping coverage and unmapped records remain visible.

**Does cleansing change our source systems?**

No. SpendFlow retains originals and applies cleansing within its own pipeline, without writing changes back to source systems.

**How does SpendFlow use AI?**

Ask questions in plain language and inspect the supporting records. Check the reporting period, included data, and answer limits before relying on findings.

## Where is manual work slowing you down?

Tell us what your team repeats, copies, or chases, and what needs to improve.

[Discuss a process](https://mcintoshsystems.com/contact)

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