Data Governance Consulting
Ownership, definitions and lineage that make reporting and AI trustworthy.
Read more →Banking
RUBIX stood up a bank-wide data governance framework and automated the risk and regulatory reporting that sits on top of it — replacing manual collation with a single, trusted source of truth.
Representative example — figures illustrate the type of outcome RUBIX delivers for organisations of this kind and are not a precise account of a specific engagement.
TL;DR
A major Australian bank was assembling risk and regulatory reports by hand from a dozen disconnected systems, taking days each cycle and inviting error. RUBIX built a data governance framework — clear ownership, agreed definitions and lineage — and automated the reporting on top of a single source of truth, cutting the cycle from days to hours.
In a bank the size of NAB, risk and regulatory reporting draws on many systems — core banking, lending, treasury, markets and finance ledgers among them. Each carried its own definitions of a customer, an exposure and a product, and each cycle a small army of analysts exported, reconciled and stitched the numbers together by hand. The result was a reporting process that ran for several days, absorbed senior time and left too much room for a mismatched definition or a stale extract to slip through.
The deeper issue was governance, not tooling. Without agreed ownership, common definitions and traceable lineage, no report could be trusted without a manual check — and no automation could safely be built on shifting foundations.
RUBIX started with the governance layer, then automated on top of it. Working alongside the bank's risk, finance and data teams, we:
Throughout, delivery stayed fixed-scope and vendor-independent — no bloated team, no open-ended engagement, and controls that fit the bank's existing risk and change processes.
With definitions agreed and the pipeline automated, the reporting cycle that once took several days now completes in hours. Analysts spend their time reviewing exceptions and explaining movements rather than assembling spreadsheets, and leaders work from one set of numbers instead of reconciling competing versions.
Representative example — figures illustrate the type of outcome RUBIX delivers for organisations of this kind and are not a precise account of a specific engagement.
"Once the definitions were agreed and the lineage was clear, automation stopped being risky and started being obvious. The reporting takes care of itself now." — Data & Analytics Lead
Regulatory reporting fails when the data underneath it is ungoverned — and no amount of automation fixes an ownership problem. RUBIX's data governance consulting puts the ownership, definitions and lineage in place first, so automated reporting is fast, auditable and trusted. For regulated organisations, that combination turns reporting from a recurring scramble into a controlled, repeatable process.
Ownership, definitions and lineage that make reporting and AI trustworthy.
Read more →See how RUBIX turns data problems into working outcomes across sectors.
Read more →Consolidated regulatory reporting and BI for an institutional bank.
Read more →If risk or regulatory reporting is still a manual scramble, we can help you fix the governance underneath and automate what sits on top.
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