See the work. Understand the next move.
Strivo can bring selected business data into a dashboard built around your decisions. Combine clear measures, useful views and AI-assisted explanations with a path back to the source.
Sales has 24 of the 52 requests in this sample.
Put the decision before the chart.
A dashboard should make a specific process easier to read, whether you are reviewing a pipeline, a workload or a financial report.
Operational visibility
Track request volume, ownership and exceptions so a team can see where work needs attention.
Commercial reporting
Bring pipeline, account or activity information into a shared view with agreed definitions.
Financial summaries
Prepare reporting views from selected source data and make the calculation and reporting period clear.
Know what the measure means
Sample data · Configurable workflow
Connect the data to the decision.
Start with the question a person needs to answer, then build the view and data preparation around it.
Define the measures
Agree the questions, reporting periods and calculation rules with the people using the view.
Metrics with an owner.Prepare the sources
Connect the agreed data, map fields and define how the view will update.
A consistent reporting dataset.Build and validate
Design useful filters and explanations, then check the dashboard against known source records.
A view your team can inspect.
Keep the boundaries clear.
Choose the information, actions and oversight the system needs for your business.
Data visibility
Scope access to the underlying sources and the views people may see. Keep restricted records out of inappropriate dashboards.
Metric definitions
Make the reporting period, calculation and data freshness understandable. Distinguish missing information from a real zero.
Explainable answers
Use AI to help explore the agreed dataset. Keep the measure and supporting records available for checking the explanation.
A few practical questions.
Can the dashboard use our existing systems?
The sources are selected around your business process. Available data, access and update requirements are confirmed before the reporting design is built.
Will it update in real time?
The update frequency depends on the source and use case. It can be designed for a scheduled refresh or a more frequent feed when the underlying interfaces support it.
Can people ask questions about the data?
An AI-assisted question layer can be included. The supported questions and source context are evaluated alongside the dashboard’s metric definitions.
Bring the decision your dashboard needs to support.
Show us the sources and the questions your team asks. We’ll demonstrate a view shaped around those decisions.
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