Improve business performance with data and AI
Databasin helps mid-market companies answer business questions, automate recurring work and put data and AI into everyday use. We work with your team to define the result, build the solution on our platform and support the people and processes that put it to use.
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.”
Business improvements we deliver
Our work covers the questions people need to answer, the routines they repeat and the data those activities depend on.
Analytics and insights
We build analysis that departments can explore themselves. Researchers can also work together with prepared data, examining the findings behind the questions they want to answer.
Workflow automation
Preparation, investigation and delivery can run on a schedule. We build those workflows so the people doing the review can focus on changes and decisions.
Secure data and AI infrastructure
Reports, applications and AI need usable data. We connect the source systems, prepare their records and configure access so your team can use them in its work.
The platform behind the work
People can ask questions, build Data Apps and automate recurring work using the data connected through Databasin.
Ask about business performance in plain language, with the source and SQL attached to the answer.
Set a recurring check for an agent and receive its explanation with the supporting evidence.
Arrange preparation, investigation and delivery as tasks that run in order for each review.
Prepare the review measures from connected sources, with definitions that colleagues can examine and use.
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.
Preparing the weekly operations review
Today
- Ask each department for an export of its latest operating records.
- Update spreadsheet calculations, then create charts for the weekly review.
- Send an analyst a question about the change in performance.
- Email the files to colleagues and repeat the work the following week.
Redesigned
- SoftwareRefresh source data and calculate the measures used in the meeting.
- SoftwareInvestigate the changes the team has defined in written instructions.
- Your teamExplore the findings and their query in a Data App.
- SoftwareDeliver the findings and repeat the workflow for the next review.
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.
The advantages of working with Databasin
A platform in production
The platform we implement for your business already runs at WashU Medicine. We use its existing capabilities as we build around your questions and processes.
Experience with the work
We bring metric definitions, process maps and governance patterns from earlier engagements. Our team adapts that starting material to the work and definitions in your organization.
Help across the organization
Business stakeholders, analysts and technical owners contribute different knowledge of the work. We bring those perspectives into the implementation and help people use what we build.
Work in your organization
Health systems
Support operational reviews, financial analysis and research collaboration across Epic, Workday and other systems.
Higher education
Help finance, HR and research offices use institutional data in their decisions and recurring work.
Finance and HR
Use Workday alongside other departments' data to investigate performance, plan and automate reporting work.
Growing companies
Understand operating performance and automate recurring work with a team to implement and support it.
Private equity
Examine portfolio companies' performance and identify where data and automated workflows could improve efficiency.
Retail and grocery
Explore inventory, product turnover, traffic and loyalty to understand what changes across the business.
Nonprofits
Reduce recurring reporting work and help teams understand and explain the impact of their programs.
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 much does our team need to be involved?
We need your team's knowledge of the problem and its judgment of the result. Business owners explain the process; technical owners help establish access and system requirements. We involve users as we plan training and success measures, so those reflect the tasks they will perform.
Can we start with one department?
Yes. A department can be the starting point for the first use case. We define the improvement with its people, including the data or contributions needed from other teams. We then implement the work and support its use. Further projects can follow as new needs arise.
Does every project need an AI agent?
No. We choose the capabilities the work needs. That may be a Data App, a workflow or an agent for a recurring investigation. For an agent, we establish its instructions, permitted data and run limits, and how a person will review what it finds.
Can Databasin work with a platform we already use?
Yes. Databricks, Snowflake and Microsoft Fabric can remain part of the environment. We examine what the platform already does for the work you want to improve. That tells us where Databasin should contribute and what implementation is needed to make the intended result useful to your team.
Who controls what people and AI can access?
Access follows user and data permissions configured with your technical and security teams. An investigation agent also has read-only tools and a limit on each run. Its queries and results are recorded, so someone examining the finding can see what the agent read and produced.
Do business users need to write SQL?
No. Questions can be asked in plain language, and Data Apps give people views they can explore. The source and SQL accompany answers for an analyst to check. Training explains how to work with those results and how the evidence helps the team review them.
What happens to the reports our teams already use?
Databasin can supply data to the BI tools people already use. We examine the decisions each report supports and the effort needed to prepare it. That review helps determine which views should stay and which would benefit from a rebuild, including the option of a Data App.
How do you define the measures used in answers?
We work with the measure's owner to establish its definition, using existing definitions and relevant patterns from earlier work. We put those calculations into the prepared data. Analysts can examine the calculation behind a result and discuss it with the business owner when a figure needs explanation.