Category comparison / find the fit
DataGlue vs BI dashboards
Compare a clear view of your numbers with the shared records and result rules behind those numbers.
Talk it through with the team that would build it.
Who BI dashboards is great for.
Teams that need charts, recurring reports and flexible analysis over prepared data. A well-built BI model can combine many systems and define shared metrics.
The work still to do.
A dashboard can show what its data model contains. Unmatched records and conflicting result definitions need to be resolved before the chart can answer the right question.
A joined result. A visible rule.
DataGlue joins the records one decision needs and shows the event formula behind each resulting tag. Those tags and their context can feed the BI tools your team already uses.
Compare the job each does.
| The job | BI dashboards | DataGlue |
|---|---|---|
| Starting point | BI dashboardsVisualise and analyse prepared data. | DataGlueDefine a result and join its recorded steps. |
| Core output | BI dashboardsCharts, tables, metrics and reports. | DataGlueSource-backed context and tags from event sequences. |
| Cross-system data | BI dashboardsSupported through a prepared model and connections. | DataGlueSource connections and matching scoped in the build. |
| Meaning of a number | BI dashboardsDefined in queries or a semantic model. | DataGlueShown as the events, order and conditions of an outcome. |
| Where it goes | BI dashboardsDashboards, exports and configured alerts or actions. | DataGlueBI plus your chosen CRM, ads, email or LLM destination. |
| Who builds | BI dashboardsAnalysts or data teams build the model and reports. | DataGlueA dedicated team builds the joined result with you. |
The steps that earn a tag.
Example rule / events → tag
CRM: deal signed
Billing: invoice sent
Billing: payment received
In this order, within 30 days, on the same deal and customer.
Resulting tag
Signed work paid within 30 days
Illustrative rule. Sources, match keys and timing are agreed in the build.
Keep what works. Join what is missing.
Keep the dashboards people already use. Let DataGlue define and join the outcome behind a disputed number, then send the tags or evidence to your warehouse or BI route. Your analysts can still build the views they need.
DataGlue is destination-agnostic. Send the output to your CRM, ads, BI, email or any LLM through an agreed connection. Bring your own LLM; the context can stay useful when tools change.
Build it with us
Bring one result you want to find.
A dedicated team maps the sources, checks the fit and builds it with you. Scope and price are agreed with the team.