Investigate business questions in plain language
Databasin One lets business users ask questions with AI for data analysis. Follow a change through connected records, inspect the SQL and turn the findings into a chart or report. Our team prepares the business views behind those questions and helps people use the results in their work.
Answering questions during a business review
Investigating a change raised in a reporting meeting
Today
- Read the report together and identify a change that needs explanation.
- Send the analyst a request for another period or location.
- Resume that part of the discussion when the revised analysis arrives.
Redesigned
- Your teamAsk about the period or location in conversation.
- SoftwareQuery the available records and return the result with sources.
- Your teamExamine the answer and review its SQL with an analyst.
Business answers with supporting evidence
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.”
Security for business data
Databasin gives your team controls for who can use business data and records of how they use it.
Access
Your organization manages the identities people use to sign in. Data permissions apply to their work, and investigation agents have read-only access to production sources.
Regulated data
For work involving PHI or HR data, our team helps your security reviewers examine the requirements. Databasin is HIPAA-ready, with a BAA available.
Where data sits
You can use our hosted service, run Databasin in your Azure environment or use it alongside Databricks, Snowflake or Microsoft Fabric.
Audit
An answer comes with its SQL for review. Your team can also examine query logs and lineage to understand the data behind it.
Scope and controls for everyday analysis
Data context
Limit this conversation to the tables and documents selected in its context.
Follow-up questions
Continue from the answer when a finding needs a different comparison.
Model choice
Choose the project's connected Claude or GPT model to perform the analysis.
Shared workspaces
Keep a named session with its charts and reports in a shared workspace.
Query budgets
Bound the investigation by limiting the number of SQL calls it can make.
Background progress
See a report's progress and collect the completed file from Downloads.
Exploring the next business question
Reviewing sales pipeline
Ask which sales region changed, examine the opportunities behind the movement and chart the result for discussion.
Investigating operating changes
Compare an operating measure across locations and inspect which records and reporting period the query used.
Examining contract terms
Find the contract term relevant to a business record, then open the cited page to examine its wording.
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
How do Databasin One and Data Apps work together?
Data Apps supplies the shared view for recurring reviews. Databasin One handles the questions that arise around it. Choose Explore the data beside the app to open a conversation with its tables selected, then investigate a change or request a different comparison. The answer includes its query for review.
How does this differ from uploading a spreadsheet to ChatGPT?
A spreadsheet upload supplies a file. Databasin One works through connections to company data, with business views and permissions maintained for that use. As records change, those views can continue to support questions. Each answer exposes the SQL and sources so someone can examine how its result was calculated.
Could an AI data analyst replace another analyst hire?
The work behind the hire determines the answer. Business users can use Databasin One for everyday questions, while people continue to define measures, maintain data and examine difficult analyses. We can discuss the backlog with you and identify the work that the product and our team could cover.
Can we run conversational analysis in our own Azure environment?
Yes. Databasin Private can run in your Azure tenant. We also specify the model connection, including the destination of its requests and the data they contain. The deployment review covers that path with your security owners, alongside the source connections and permissions needed for conversational analysis.
Does selecting a table in chat give a user permission to read it?
No. Choosing a table sets the topic of the conversation; the configured connection and permissions determine whether it can be read. We prepare those connections and the business views during implementation. Users can then select from the data available to them when they want to ask a question.
How current are the answers?
Answers reflect the records available to the query. A live connection reads what the source exposes at that time; a synced table reflects its latest successful update. During implementation, we establish the refresh cycle and reporting period for the work, so people can understand which period their answer represents.
What if different departments use the same word for different measures?
Give each meaning its own definition. We work with the people responsible for the measures to establish what each includes, which period it covers and how it should be compared. They can then ask a precise question and check whether the SQL used the intended calculation.
Can I leave the page while a report is running?
Yes. A background report continues after you leave the page. Return to the Downloads panel to see its progress or collect the completed file. The panel also shows failures, so you can retry or report an error. Completed outputs stay there until you dismiss them.