Banking Analytics Tool

One set of numbers your executive committee can agree on.

Product, channel, branch and customer performance built on data models made for banking, so every department reads from the same source.

Take the AI readiness test Discuss your team's needs

For finance, product, channel and risk teams who need the same numbers

Banking data modelsPerformance dashboardsRegulatory reporting

From

Three departments, three different numbers

To

One source of truth for every decision

What we offer

Glass databases pipe into a stacked cube model; the cube at its heart is red

How we work

Connect your core banking and channel data
Load pre-built banking data models
Reconcile the figures with finance

01

Banking Data Models

Built for accounts, products, channels and customers.

The challenge

Every team builds its own extract from the core, so figures disagree before anyone opens a dashboard.

What you receive

Pre-built banking data models
Automated data loads from your core
Reconciled, documented definitions

The outcome

Numbers that agree, because they come from one place.

A glass dashboard with one tall red bar, watched by two white pawns

How we work

Agree the measures each team runs on
Build dashboards on the shared model
Roll out with training for each team

02

Performance Dashboards

Products, channels, branches and segments.

The challenge

Management packs take days to assemble and are out of date by the time they are read.

What you receive

Product, channel and branch performance
Customer segmentation and profitability
Self-service views for each department

The outcome

Meetings spent deciding, not reconciling.

One glass database splits into a regulator report and a board report, sealed with a red tick

How we work

Map the returns to the data model
Automate the recurring reports
Add checks and sign-off before submission

03

Regulatory & Management Reporting

The same source for the regulator and the board.

The challenge

Regulatory returns are built by hand from spreadsheets, a slow process with plenty of room for error.

What you receive

Regulatory and management reports
Data quality checks before submission
An audit trail from figure to source

The outcome

Reporting that is faster, consistent and easy to evidence.

01 / 03
Banking Data Models
Built for accounts, products, channels and customers.
The challenge
Every team builds its own extract from the core, so figures disagree before anyone opens a dashboard.
How we work
1. Connect your core banking and channel data
2. Load pre-built banking data models
3. Reconcile the figures with finance
What you receive
- Pre-built banking data models
- Automated data loads from your core
- Reconciled, documented definitions
The outcome
Numbers that agree, because they come from one place.
02 / 03
Performance Dashboards
Products, channels, branches and segments.
The challenge
Management packs take days to assemble and are out of date by the time they are read.
How we work
1. Agree the measures each team runs on
2. Build dashboards on the shared model
3. Roll out with training for each team
What you receive
- Product, channel and branch performance
- Customer segmentation and profitability
- Self-service views for each department
The outcome
Meetings spent deciding, not reconciling.
03 / 03
Regulatory & Management Reporting
The same source for the regulator and the board.
The challenge
Regulatory returns are built by hand from spreadsheets, a slow process with plenty of room for error.
How we work
1. Map the returns to the data model
2. Automate the recurring reports
3. Add checks and sign-off before submission
What you receive
- Regulatory and management reports
- Data quality checks before submission
- An audit trail from figure to source
The outcome
Reporting that is faster, consistent and easy to evidence.