AI data analyst
Your team can investigate business questions in plain language and use the findings in its daily work. Databasin connects the relevant sources, prepares the business definitions and builds the analysis on our platform. People can ask follow-up questions, create shared views and examine the query behind an answer.
Business questions on shared definitions
An AI question needs the same business meaning as the report beside it. Invoices sent and revenue recognized describe different measures, even for the same month. We work with the measure's owner to establish its meaning and prepare the records it needs.
Databasin One queries those prepared views. A chart, report and follow-up question can all use the definition held there. When a figure needs explanation, an analyst can examine the calculation while the person asking continues to explore the result.
Ways to use the findings
Investigate performance
Ask how a measure has changed, then follow the answer with another question about the records.
Examine the evidence
Inspect the query and source tables to see how Databasin reached the figure you are reviewing.
Share useful views
Make a Data App from the questions so colleagues can return to the analysis as records refresh.
How does an answer become useful?
Databasin One returns an explanation with the source tables and SQL used to produce it. People can ask for a chart, change how it groups the data and investigate a particular result. A useful set of questions can become a Data App, giving colleagues a shared place to explore the measures.
Implementation for everyday decisions
Our team builds the connections, measures and application for the business question. We also work on how people will use the answer in their decisions. That connects the technical preparation to the improvement you want to make.
Training covers the questions users will ask and how to examine the evidence. Rollout and success measurement are included. Once the application is in use, Databasin can operate it, provide monthly support hours or stay on call for your team.
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
Will this replace the people who analyze our business?
Your people continue to decide what the findings mean. Databasin handles routine questions and supplies the evidence for review. Analysts can examine that evidence, refine the definitions and pursue the investigations that require their knowledge of the business.
What if an answer uses the wrong business meaning?
We can follow the query back to the prepared view and compare its calculation with the business definition. If the interpretation differs, there is a specific measure to correct before the team uses it in further analysis.
Can the AI choose between several connected sources?
Yes, within the data and tools made available to it. We prepare the relationships between sources and the views needed by the intended questions. Databasin One uses that context and the access configured for the investigation.
Can we use a model our organization has approved?
Yes. Databasin supports different model providers and internally approved models. The deployment design identifies the model endpoint along with the source connections and access controls. That establishes how questions will reach the approved model.
Can investigation agents update our operational records?
No. Production-source access is read-only for investigation agents. They can read permitted records, run queries and explain the result. Writing, altering or deleting those records is unavailable; other operations need separately authorized automation tasks.
Can a saved investigation run every morning?
A skill can save the instructions, inputs, allowed read-only tools and run limits. An automation can then run it each morning and deliver the findings. The scheduled LLM Agent task is currently in beta.
Will the AI have to search through raw tables?
The business views hold the joins, measures and reporting context before people ask questions. Databasin One queries those governed views. A person can therefore use the established definitions without having to reconstruct the relationships between raw tables.
How would this fit our existing Snowflake or Databricks setup?
Databasin can work with Snowflake, Databricks or Microsoft Fabric already in place. We establish what the intended questions need, then implement the source connections and views around the environment the organization plans to keep.
Can a department start before the whole company adopts it?
Yes. We can build the first application for one department, including the data preparation and rollout its work needs. Later projects can extend that work as other teams identify questions and workflows they want to address.
How do you decide whether the implementation worked?
We define the intended business outcome and success measures during Design. Build includes training, rollout and measurement of the result. The review can then consider how people use the application and whether it improves the work it was intended to support.
Talk about AI for your team
We can talk through the questions your people need to answer and how AI could help them. We can discuss the data, the way people work and where Databasin could help.