KPI dashboards for shared business reviews
Databasin gives teams KPI dashboards they can filter, question and share through Data Apps. Our team prepares the source records, definitions and first application around the decisions people need to make. A recurring review can then move from a shared measure into the records and calculations behind it.
Build the view and investigate its measures
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.
Tools for using and sharing the view
CSV records
Download the filtered records when a later task needs them in a file.
Excel workbooks
Export the dashboard information in one workbook under the selected filters.
PDF output
The PDF or printed copy preserves the filters chosen for the current view.
Private drafts
A private draft holds changes while colleagues continue using the published application.
Stable shared link
Publishing an update preserves the gallery link colleagues already use to open the app.
Viewer preferences
Each viewer can choose a light or dark appearance and their preferred palette.
Examples: measures for recurring team reviews
Finance reviews
Compare financial periods using shared calculations, then investigate a movement through the source records behind the measure.
Workforce planning
Examine headcount, hiring and retention using the organization details recorded for the reporting period in Workday history.
Operations reviews
Use an operational measure to find where activity changed, then filter the shared view to examine the relevant area.
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 rebuild reporting that currently depends on spreadsheets?
Yes. We connect the underlying sources and implement the calculations in shared business views, then build the Data App around the review. We also examine the exceptions and date rules embedded in the existing process so they are represented in the new reporting model.
Do we need to have every KPI defined before the conversation?
No. We can work through which questions the review needs to answer and how the measures should be defined. Business owners approve their meaning. Our team then prepares the data and application around the agreed definitions.
How current are the records in a live KPI view?
It shows the records available when the query runs. New records still depend on the source's refresh cycle. We schedule preparation for the intended review and show the reporting period, so a person opening the live view can tell which data the result covers.
What can we reuse from an existing Power BI report?
Beta import carries over the layout and translates calculations to Databasin tables, with a list of elements that could not be translated. React dashboards can be imported too. We map the data and examine the measures before the rebuilt application replaces the existing report.
Which data connections can a KPI Data App query?
The supported engines are Trino and Sail lakehouses in Databasin, plus Databricks. Records from other sources, including Snowflake, can also connect through Databasin. We establish how those records reach a supported serving route when preparing the app and its access.
Does publishing a KPI view store a second set of records?
No dataset is stored in the published app. It holds the structure and SQL and queries through the configured connection as each viewer. Exporting is a separate action: a downloaded file contains the records selected for that output at that time.
How does changing a measure differ from changing a filter?
A filter selects records for the calculation already in place. A new measure changes that calculation or defines something else to count. We implement the new rule, examine the results with its business owner and then make it available in the app.
Can the application run within our Azure environment?
Yes. Databasin Private runs the product in your Azure tenant. We configure its data connections and reporting application in that environment. Hosted deployment and use alongside an existing supported platform are also available, according to the operating arrangement and data requirements.
Discuss the measures your team uses
We can discuss the reviews your team runs, the measures people question and the reports they already use. Our team can explain how Data Apps would support those conversations and what we would prepare behind the view.