Azure data for business decisions
Databasin helps your people ask questions, build shared reports and automate recurring work using data in your Azure environment. Our team prepares the connections, business definitions and applications. We can implement Databasin in your tenant or work alongside the data platform you already run.
Business work on Azure
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.
Results from customer work
- 20+ systems unifiedDatabasin brought WashU Medicine's financial data together.
- Infrastructure costs at 1/3 of the traditional approachWashU Medicine's result from changing its data infrastructure.
18%
Higher grant proposal success
Measured at a research institution working with Databasin.
“What used to take weeks or sometimes even months now happens in minutes.”
Tools for everyday analysis
Open tables
Compatible engines can read the Apache Iceberg tables used to store synced records.
SQL workspace
Analysts use the SQL editor to examine records and check a calculation.
Python notebooks
Python and PySpark notebooks support analysis and the preparation of connected data.
Viewer permissions
Data Apps applies each viewer's access when running the shared application's queries.
Run logs
Logs record completed and failed tasks in the preparation behind a report.
Query evidence
The SQL attached to an answer shows the calculation Databasin One ran.
Example: Azure data in use
Reviewing operations
A team reviews operating measures, changes the comparison in its shared application and asks a question about the underlying records.
Investigating clinical activity
A research view connects permitted Epic records with other sources and supplies the definitions needed to examine clinical activity.
Preparing recurring reviews
Source refreshes and transformations run before a regular meeting, preparing the measures that attendees will examine in their application.
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
Book a demo
Book a conversation about your organization and the work you want to improve. Questions about where to start are welcome.
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.
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 Databasin replace our aging Azure Synapse Analytics setup?
Yes. We can rebuild a defined Synapse workload on Databasin. We start with the reports and applications it serves, then examine their queries, schedules and permissions. The new outputs are reconciled with the existing work before users change over.
What happens to jobs managed through Azure Data Factory Studio?
We review the jobs before deciding what to retain or rebuild. Azure Data Factory Studio manages Data Factory work; Databasin has its own pipelines and automations. The implementation accounts for the source updates and dependencies that feed each business output.
Should Epic Clarity data land in Databricks or Fabric?
Either platform can be used. We examine the reporting workload and environment already in place, together with Clarity access and the institution's Epic configuration. The source refresh also matters: the destination must support the work using the records available on that cadence.
Can we keep our files in an open format?
Yes. Databasin stores synced records in Apache Iceberg tables that compatible engines can read. Databasin Private keeps those files in your storage account. We prepare the business views for your applications over that data, preserving the open format underneath.
Can we use single sign-on for Azure business users?
Yes. We configure single sign-on and the data access needed for each application. Signing in establishes the person's identity. Their connection and data permissions determine the records they can query when asking questions or using the shared application.
Will an Azure connection make every source update immediately?
No. Records must first be available in the source. A nightly source refresh still limits freshness even if a pipeline runs more often. We set the preparation schedule around those dependencies and establish the period that the business review covers.
Can an existing Power BI report provide the starting point?
Yes. Data Apps supports Power BI import in beta. It uses the report's layout and calculations to build an application against Databasin tables and reports anything it cannot translate. We map the report to those tables and examine the measures as part of the rebuild. Report rebuild
Can you help with an Azure rollout that has stalled?
Yes. We can examine the business result the rollout needs to deliver and the work preventing it. That can include source access, data preparation, definitions and the applications people use. Our team implements the agreed scope and helps people adopt it. Deployment rescue
Talk about your Azure plans
We can discuss the work your Azure environment needs to support and where delivery has stalled. Our team can explain how the existing systems, business applications and ongoing support would fit together for your organization.