Data harmonisation for teams without a data engineer

Stop stitching spreadsheets. Get one clean dataset daily.

Tell Conflux what data you need. It connects your APIs, inboxes and SFTP feeds, then harmonises everything automatically each day.

Get updates on Conflux See how it works

Built for Australian operations and finance teams.

What it does

Starts from the dataset you need, not the connectors you own.

Describe
You list the fields and tables you need in a visual builder. No pipelines to design first.
Connect
Conflux reaches your APIs, inboxes, SFTP feeds and legacy systems.
Harmonise
Mismatched formats and names are reconciled into one consistent dataset.
Refresh
The dataset is rebuilt every day, so the numbers are there when you start work.

Requirements builder

Define the output first.

Pick the fields, types and tables your reports depend on. Conflux works backwards from that to find the sources, so the shape of your data is decided by you, not by whatever an export happens to contain.

  • Visual builder, no code
  • Fields typed up front, including AUD amounts
  • Change the requirements and the dataset follows

Ingestion

Reads where your data actually lives.

Not every system has a tidy API. Conflux takes data from APIs, from files attached to emails, from SFTP drops and from legacy systems, the places spreadsheets usually get stitched together by hand.

  • APIs
  • Inboxes and attachments
  • SFTP feeds
  • Legacy systems

Harmonisation

One customer, one row.

Accounting calls them clients, the CRM calls them accounts, the shop calls them buyers. Conflux reconciles those differences and merges the results into a single unified dataset.

  • Matching across systems
  • One consistent schema
  • Rebuilt daily

Old way / Conflux

Reconciliation is a job your data should do itself.

Export from five systems on Monday morning

Sources are read for you every day

Paste, VLOOKUP, fix column names, repeat

Matching and formats handled once, in the builder

A spreadsheet only one person understands

A requirements list anyone on the team can read

Pipelines first, questions later

Your questions first, pipelines worked out for you

How it works

From a requirements list to a dataset that refreshes itself.

  1. 01

    Describe the dataset

    Open the builder and list the fields you report on. Say what each one means and where it should refresh.

  2. 02

    Connect your sources

    Point Conflux at the APIs, inboxes, SFTP feeds and legacy systems that hold the raw data.

  3. 03

    Review the harmonised output

    Check how records from different systems have been matched into one table, and adjust the rules if needed.

  4. 04

    Let it run every day

    Conflux refreshes the unified dataset daily. Use it in the reports and tools you already have.

Questions

Before you ask.

Do I need a data engineer to use Conflux?

No. Conflux is built for operations, finance and analytics leads who do not have a data engineering team. You describe the dataset you need in a visual builder and it handles the connections and harmonisation.

What kinds of sources can it connect to?

APIs, inboxes, SFTP feeds and legacy systems, so exports from accounting, CRM, e-commerce and supplier emails can all feed one dataset.

How often is the dataset updated?

Every day. Conflux harmonises your sources on a daily schedule so you start with a current, consistent dataset.

How is this different from a connector-first ELT tool?

Connector-first tools start from the pipelines you build. Conflux starts from your requirements: what you need the data to look like. The pipeline work follows from that.

Every source, one clean dataset, every day.

Give Monday morning back to your team.

Leave your email and we will keep you posted on Conflux, built for Australian teams who reconcile exports by hand.

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