Every business process carries data risk. We show you where.
See the data risk and required controls across your business processes in minutes, not weeks.
Manual methods cannot keep pace with the business.
Weeks of manual assessment still do not show where risk actually sits.
By the time that work is finished, the process has already changed. What took weeks to assemble is out of date almost immediately.
This is not a resourcing problem. It is a structural one.
Manual assessment is slow by design, bottom-up by design, and incomplete by design. More people do not fix a model that cannot scale.
They record assessments.
They do not reveal where risk actually sits.
Start where the risk actually lives.
Most approaches to data risk begin at the data layer: assets, schemas, catalogues, metadata repositories. They produce detailed inventories, but they sit too far from the business processes where risk is created, managed, and owned.
Business leaders do not think in data assets. They think in processes. That is where accountability sits. That is where data risk becomes real.
From the data layer
A data quality issue is a metadata flag. A privacy gap is a line in a register. Disconnected from the process. Invisible to the business.
From the process
A data quality issue becomes a risk to a lending decision. A privacy gap becomes an exposure in customer onboarding.
That is when the business can understand the risk, act on it, and own it.
Not a better spreadsheet. Not a bigger catalogue.
A fundamentally different place to start.
See the risks that matter at each step.
What was invisible becomes specific.
Work within your existing framework, or start with one provided by Juxtabyte.
See where risk sits and the controls it requires in minutes, not weeks.
Built by the team behind the data governance framework APRA rated highest among Tier 1 financial institutions.