Managed data services
Your teams can use recurring reports and data reviews while Databasin handles the work that keeps them running. We connect sources, build the applications and train their users. After implementation, we can operate the agreed work, provide monthly support hours or stay on call.
Data work people can rely on
We can operate the data preparation and applications that a team uses every week or month. We build the connections and measures with the business owners, then put them into use through rollout and training.
The ongoing agreement names the work we handle. For a finance report, that might include its source refresh and calculations. An operations review might need several tasks to finish before it runs. We establish the support around those dependencies so the people using the result know how the work is maintained.
What we keep working
Connected records
We maintain the source connections and prepare records for the reports that people use in recurring reviews.
Working applications
We implement Data Apps for the team's measures and help users examine results through the application.
Scheduled workflows
We schedule the required preparation before later tasks and retain a record of the work performed.
What happened in the last run?
A job's latest status is visible in the automation list. When a run needs attention, its logs show what happened in each task. Notifications send the run result to its configured recipients.
Tasks can prepare records before the next stage begins. The run history lets the people responsible inspect that sequence and the work completed for a particular review.
Support as the work changes
We can adapt the applications as the organization changes. A new department may need another view of a measure, or a changed definition may need different records. Our team can develop those additions from the implementation it already knows.
The ongoing arrangement determines how much of that work we handle. We can operate it, provide monthly support hours or stay on call. Connections, measures and workflows then have an agreed route for maintenance and further development as business questions change.
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
Does this include managing all our IT systems?
The scope names the data and AI work we will handle. It can cover connections, preparation, applications and recurring workflows. General IT services need their own scope; they are not automatically included.
Can different people receive notifications for different jobs?
Yes. An automation has its own list of notification recipients. We can send finance and operations job results to different groups, including a notification when a run succeeds or fails.
What response times come with the service?
We define response expectations with the operating responsibilities in your agreement. The discussion covers the applications people depend on and the support they need. Those requirements guide the service we agree.
What happens if a source vendor changes its connection?
We maintain Databasin's connectors as vendors change them. Extraction history and logs help locate affected records. If the meaning of a field changes too, the agreed work can include revising its measures and applications.
Do we need to provide an Azure tenant?
No. Hosted Databasin is available. We can also install it in your Azure tenant when the data or operating requirements call for that, with access established for our team's work.
Can our existing Fabric environment stay in use?
Yes. Fabric, Databricks or Snowflake can remain in use. We define the work Databasin will supply around that platform and identify which connections, preparation and applications our team will maintain.
Can our analysts continue using notebooks and BI tools?
Yes. The prepared views can be read through notebooks and supported BI tools. Analysts retain those ways of working alongside Data Apps, within the connection routes and permissions configured for them.
What format holds the stored data?
Iceberg on Parquet is one of the open table formats Databasin uses. Compatible engines can read the records beyond a particular app. In a private deployment, your storage account holds the files.
How do you control access to sensitive records?
Data owners approve the required access, and we configure it for the deployment. Each Data App viewer queries with their own permissions. Query records let authorized reviewers examine the use of those records.
Can ongoing work include another department's use case?
Yes. We define the new question and the additional work it needs. Existing connections and measures can be reused where they fit; new sources, access, applications and training become part of the agreed scope.
Talk about ongoing data work
Talk with us about the data work that needs continuing attention in your organization. We can explore where your people need help, what already works and how Databasin could support the next stage.