Data delivery with an experienced team
We help your people use data and AI through a service that includes Databasin and the team implementing it. We define the business improvement, prepare the source records and build the application. Rollout, training and continuing support help the organization put that result into daily use.
Help from design through everyday use
We handle the work from defining the outcome to helping people use the application. We examine the current process and the question it must answer, then build the connections, measures and software around that design.
Our principal-level team brings direct knowledge of Databasin and experience from earlier implementations. Metric definitions, process maps and governance patterns give the work a starting point, adapted to your organization. We also plan communication, rollout and training so the technical delivery is connected to the changes people make in their routine.
What our team delivers
Outcome design
We establish the intended improvement with business owners and map the process the application will support.
Working applications
We connect the sources, implement the calculations and build the application needed to answer the business question.
Adoption and support
We train users and help the organization keep the application useful through its chosen support arrangement.
What can people use afterwards?
People can use a Data App to examine shared measures, with queries running under their own access. Plain-language questions provide another way to explore the prepared records.
An analyst can use SQL or a notebook on the same governed data. The definition in the business view gives those different ways of investigating a number a common basis.
Continuing help after the first result
The service can continue as people use the first application. We can run the work, provide monthly support hours or stay on call. The operating agreement establishes which tasks our team handles and how changes are addressed.
A different source or measure may require more preparation behind an existing view. We can develop that work using the connections and definitions already in place. Our team knows both the platform and its implementation, so continuing support can address the software and the routine it serves together.
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 you work with the analysts we already employ?
Yes. We can build on your analysts' knowledge and existing work. Our team prepares the connections and applications; their SQL, notebooks and supported BI tools can use the governed records.
Can you help us choose the first business problem?
Yes. Design examines the questions, processes and expected return with the people involved. We identify a useful first use case and establish the work needed to deliver it.
Must we move away from our existing warehouse?
Databasin can be implemented alongside Databricks, Snowflake or Fabric. We use the existing work where it fits the question and add the connections or preparation needed by the application.
Can the implementation run inside our environment?
Yes. A private installation can run in your Azure tenant. Hosted deployment is also available. We implement the data routes and access within the network policies approved for the selected environment.
Do business users need to learn SQL?
People can open Data Apps or ask questions in plain language. SQL is attached for anyone who wants to inspect a calculation. Training explains how to use the measures in the business review.
Who looks after source connectors as vendors change them?
Databasin maintains its native connectors. They provide a common starting point for source access and scheduled preparation. Our team applies them to the records and business definitions needed by the application, with continuing responsibilities established in the support arrangement.
How are access decisions handled during implementation?
We work with data owners on the required access, and they approve who can use the records. We configure those permissions for the selected deployment and the applications built on it.
How do you establish what a business measure means?
We define the measure with the people responsible for using it. The business view implements that calculation against the relevant records. Reports and questions can then reuse the definition.
When will people have a first use case to work with?
Your first use case goes live in 90 days. Design defines the improvement; build includes rollout and training. We measure the application's performance as people put it to use.
Can one implementation support more work later?
Yes. We can reuse connections, definitions and governance for another application. We establish what the new question needs and add its records or logic to the work already in place.
Discuss the work ahead
Talk with us about the improvements your people want to make and what is holding the work back. We can explore how Databasin and our team could help you deliver and support the result.