advanexus
Discuss a critical flow

Governed analytics delivery

Explain why a result changed.

Different definitions and input versions can turn the same business question into conflicting reports.

Explore controlled analytics
See the example

The same business question produces different totals in two reports.

advanexus

Above your existing systems. Not in their place.

What your team gains

Connect the numbers to the data behind them and investigate what needs attention.

Situations your team will recognise.

Governed analytics delivery

Situations your team will recognise.

  1. How advanexus helps

    Keep the chosen data and report versions connected to the recorded result. Compare changes and investigate differences before using the numbers.

  2. What your team gains

    Connect the numbers to the data behind them and investigate what needs attention.

  3. Try it with your own process

    Compare the data version, report definition and filters for one result. Measure time to explain the difference. Version history is not automatically a snapshot of source rows.

  4. Keep the next cycle connected.

    Keep the report definition, filters and chosen data version with each recorded result. Revisit the earlier basis before interpreting a new total.

Business situations

See the example

Who qualifies for this benefit?

Connect membership, previous benefit use and contact rules. Separate candidates, exclusions and cases needing review, with a reason for each.

Continue exploring

Controlled analytics Show the numbers. Explain the result behind them.

Build reports and charts from an accepted dataset version. Explore dimensions and filters, then return to the saved report definition and run context when someone asks how a result was obtained.

 Governed datasets Prepare a dataset once. Control how its definition changes.

Create a reusable dataset for analysis and reporting. Compare versions of its query and columns, keep the source reference, and choose when a report adopts a changed definition.

 advanexus Assurance See what stands behind a result.

Start from a result, execution or recorded event. Follow its available versions and relationships, inspect supporting evidence and see what remains unverified before deciding the next step.

In brief

How does this help with my work?

Keep the chosen data and report versions connected to the recorded result. Compare changes and investigate differences before using the numbers.

How can I check the result?

Keep the report definition, filters and chosen data version with each recorded result. Revisit the earlier basis before interpreting a new total.

Start with one authorised example. Agree on access, checks and who accepts the result. Compare the same scope before and after; benefits are measured, not assumed.

Discuss this process