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Data governance for dependable business answers

Databasin helps people use shared business measures with clear access rules and evidence behind the result. Our team prepares the definitions, transformations and permissions for reports and AI. The software keeps those rules with the connected data, so people can examine what a measure means and how it was calculated.

  • WashU Medicine
  • University of Kansas Medical Center
  • Saint Francis Healthcare System
  • Saint Louis University
  • Compana Pet Brands

Establish the rules behind shared analysis

Design, Build, Run

We take responsibility for the work from defining the outcome through implementation and ongoing support.

Design

We define the outcome, current processes and expected return with your stakeholders. A working example shows how Databasin would answer your business questions.

Build

We get your first use case live in 90 days. Communication, rollout, training and success measurement are included in the work.

Run

Choose the help you need after launch. We can run the solution for you, provide monthly support hours or stay on call.

Access and evidence in daily use

Individual access

Grant or revoke a person's access to the data exposed through a connector.

Team permissions

Manage a group's access together when colleagues work with the same records.

Project roles

Configuration changes, including pipeline edits, follow the permissions supplied by project roles.

Protected credentials

The backend encrypts connector credentials; authorized users rotate them in the connection configuration.

Skill versions

Saved skill versions retain the instructions used for a particular recurring investigation.

Investigation records

Each agent run leaves its skill, tool activity, queries and output available for inspection.

Epic ClarityWorkdayREDCapDatabricksSnowflakeMicrosoft Fabric

Examples: governing shared business work

Workforce measures

Finance and HR can use a shared headcount definition while their permissions determine which underlying employee records each can see.

Period reconciliation

Our transformations align periods and financial dimensions so the team can examine differences between records from separate systems.

Recurring investigations

A recurring investigation reads prepared views within its assigned limits and leaves the queries and output available for the business owner.

What happens next

We would like to hear where your team wants to make progress with data and AI. We can discuss a project you have in mind or explore where Databasin could help with the work.

What happens next

  1. Book a demo

    Book a conversation about your organization and the work you want to improve. Questions about where to start are welcome.

  2. Explore the opportunity

    We show a working example that answers your business questions, then discuss what it would take to deliver it for your team.

  3. Get the first result

    After agreeing the first use case, we implement it with your team. We train the people using it and measure how it performs.

FAQ

Can clinical, finance and research records use shared definitions?

Yes. Databasin can connect those systems and prepare shared business views across their records. We establish the identifiers, joins and measures with the people responsible for their meaning. Each connection and query path still determines the records available to an individual user.

How do you handle Workday records from earlier periods?

We use effective dates to place the records in the period being reported. That lets an earlier comparison use the workforce and organization details from that time. Shared financial dimensions also give us a common basis for reconciling Workday records with other sources.

Does joining a project give someone access to its data?

No. A Project User may belong to the project and still have no data to query. Governance grants access to the relevant connector. Project roles govern configuration changes, including pipeline edits, so those responsibilities can be assigned separately.

Why might Governance be missing from a deployment's menu?

Governance is a configurable module. If it is not enabled, its entry does not appear in the sidebar. Our team checks the deployment's configuration when setting up access management, separately from examining the permissions of any individual user.

Can users read back a stored connector password?

No. The backend encrypts connector credentials at rest and does not return them in plaintext. An authorized user can rotate a password or token through connector configuration. People querying the data do not need to read the stored credential to use the connection.

Does sharing a Data App expand the recipient's data permissions?

No. Sharing controls who can open the application, while the connection controls which records the viewer can query. We configure both for the intended audience. A team can share a common view without making all of its underlying records available to every colleague.

Can this work alongside an existing warehouse?

Yes. Databasin can operate alongside Databricks, Snowflake or Microsoft Fabric. We configure the connections and business views around the platform you retain. Its access rules and the supported query path remain part of the design for any new report or application.

Who maintains a measure when its business definition changes?

We can maintain the model and affected applications through the agreed support work. The business owner approves the new meaning, and we implement its calculation. We then examine how the revision appears in the reports that use that measure.

Discuss the rules behind your reports

We can discuss where definitions, permissions or unexplained differences make reporting difficult. Our team can show how Databasin would prepare the business measures, configure access and give people evidence they can use to examine a result.