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Your intelligence partner.

Your data. Your business know-how.
Connected, understood, and put to work.

Discover how
An archive of books and scrolls connects to a growing tree of knowledge, then to a working mechanism and tools.

The bigger picture

It’s all there.
Let’s bring it together.

You have the data. Your people have the know-how. Yet getting a clear answer still takes too much work.

We bring it together and turn it into an asset your people can use to make better decisions.

01Foundation

A clearer picture.

Your systems, connected and reconciled. Reliable data, clear ownership and access controls, kept current and ready to use.

02Intelligence

Understanding that stays.

Your definitions, rules and expertise, captured with your people. Context that makes the answers yours.

03Action

Knowledge put to work.

Answers, insights and workflows grounded in your business. Progressively taking approved action within your controls.

Meet Dash

The most capable data analyst
your business has.

Dash is careful, quantitative and on duty at 3am. Ask in your own words and see what's changing, why it matters and where to focus.

Behind Dash is the Dashlytix Context Engine. We work with your people to capture, validate and maintain your business definitions, rules and know-how, using context engineering to give your team and AI a shared understanding. Governance controls who can access it and what AI is allowed to do.

And when you want to know why, Dash shows the working.

DashExample
You

Where are we losing margin?

Worked diligently through your business data…
  1. Trusted data retrieved

    Dashlytix trusted data layer

    Connected sales, product costs, freight and returns.

    Sales & costs

    Verified · illustrative example

    Sales and product costs reconciled using the agreed margin definition.

    Source
    Dashlytix trusted data layer
    Verified on
    · example
    Valid from
    · example

    Example verification metadata, not a live business record.

    Freight & returns

    Verified · illustrative example

    Delivery charges and returns matched to the products driving the margin change.

    Source
    Dashlytix trusted data layer
    Verified on
    · example
    Valid from
    · example

    Example verification metadata, not a live business record.

  2. Specialist analysis applied

    Agents built around your business

    Bespoke analysis separates trading performance from delivery costs and returns.

    Margin analysis

    Verified · illustrative example

    Specialist analysis separates planned markdowns from unexpected cost pressure.

    Source
    Agents built around your business
    Verified on
    · example
    Valid from
    · example

    Example verification metadata, not a live business record.

    Cost drivers

    Verified · illustrative example

    Product pricing, delivery costs and returns considered together.

    Source
    Agents built around your business
    Verified on
    · example
    Valid from
    · example

    Example verification metadata, not a live business record.

  3. Company knowledge cross-checked

    Your trusted knowledge, built together

    Margin definitions and clearance rules, captured and reviewed with your team.

    Agreed definitions

    Verified · illustrative example

    The margin definition agreed with your finance and operations teams.

    Source
    Your trusted knowledge, built together
    Verified on
    · example
    Valid from
    · example

    Example verification metadata, not a live business record.

    Clearance rules

    Verified · illustrative example

    Approved clearance plans explain the expected promotional margin reduction.

    Source
    Your trusted knowledge, built together
    Verified on
    · example
    Valid from
    · example

    Example verification metadata, not a live business record.

  4. Evidence brought together

    A useful answer, with the working

    Data and business context brought together to explain what changed and where to focus.

    Supporting sources

    Verified · illustrative example

    The answer is linked back to the data and definitions used.

    Source
    A useful answer, with the working
    Verified on
    · example
    Valid from
    · example

    Example verification metadata, not a live business record.

    Business context

    Verified · illustrative example

    Company knowledge distinguishes planned activity from changes worth investigating.

    Source
    A useful answer, with the working
    Verified on
    · example
    Valid from
    · example

    Example verification metadata, not a live business record.

Sales are on plan. Online margin needs a closer look.

Illustrative month · AUD

Net sales
$2.40m
$2.40m plan · On plan
Online margin
28.4%
31.2% plan · 2.8 pp below

Margin after freight and returns. pp = percentage points.

Planned clearance explains some of the decline. The unexpected pressure is from bulky products, where delivery costs and returns are eating into profit.

Where to focus

Review pricing and delivery for bulky products. Keep planned clearance running.

An ink drawing of a tree rooted in connected foundation blocks
Built to last

It grows with you.
And stays yours.

Your business keeps moving. We stay alongside your team, keeping the foundations reliable and the knowledge useful.

01

Your knowledge, retained.

Validated definitions, rules and corrections carry forward into the next question.

02

Your capability, owned.

Your data and business context remain yours, with the freedom to change technologies.

03

Your people, supported.

A hands-on partner to build, operate and keep improving it with you.

Meet the team

Technology partners

  • Google Cloud
  • dbt
  • Fivetran
  • Estuary
  • Portable
  • SyncHub
  • Skyvia
  • MYOB
  • Salesforce
Start with one good question

Which decision takes
too much work today?

Bring us a recurring question or an operational priority.
We’ll work out the first useful outcome, together.

Let’s find out

DASHLYTIX

A conversation away.

Ready when you are.

Hi there, how can I help?

Dashlytix

AI can make mistakes. Dashlytix makes less. Speak to the team ↗