A cross-BI asset-debt workflow that inventories dashboards and metrics, exposes dependencies and unknowns, proposes reversible deprecation, and reconciles actual compute savings.
Genesis score7.23/10
Make Dashreaper real.0/500
500 more votes and Dashreaper is authorized for build.
0%500 to authorize
Backing is the vote. When an idea crosses 500, we pull it into the build pipeline and ship it for real — the votes decide what gets built next, not an editor.
The opportunity
0Dedicated debt-scoring peers found
2Confirmed public BI interfaces
0Assets archived on view count alone
The case
BI estates accumulate dashboards, models, schedules, extracts, and metrics with unclear owners and hidden consumers. Dashreaper combines source metadata, usage, refresh and query costs, dependencies, decision links, incidents, and owner review into a deprecation case. It never treats low recorded views as proof of no use, infers that a dashboard caused a decision, auto-archives unknown dependencies, or recognizes forecast savings as realized. Retirement starts reversible and stays attributable.
Who pays — and why
Data platform, analytics engineering, BI operations, FinOps, governance, and business-operations leaders responsible for large multi-tool reporting estates.
What it unlocks
A graph of BI platform, workspace, asset, dashboard, tile, query, model, metric, schedule, extract, source table, owner, audience, permission, lineage, and downstream dependency
Versioned evidence for views, viewers, recency, subscriptions, exports, embedded use, alerts, query and refresh cost, failures, incidents, manual decision links, and unknown telemetry
Debt candidates with component evidence, confidence, reason, owner challenge, dependency review, notice, deprecation, quarantine, redirect, restoration window, approval, and expiry
Conversational analytics and schema drift increase pressure to rationalize static assets.
8
Buyer persona
Data and BI owners have a concrete estate-management burden.
5
Convergence
Only one cross-reference and one inbound connection were recorded.
Why it scored well
The buyer and asset-debt problem are clear, public interfaces make inventory plausible, and the supplied search found no dedicated cross-BI deprecation product.
What's holding it back
Usage and lineage are incomplete, decision velocity is hard to measure, savings attribution is contestable, and BI vendors can add governance features.
Signals detected4 sources crossed
Signalprimary vendor material carried in Genesis
SignalGenesis competitive search
Signaltechnical research carried in Genesis
Signalproduct research carried in Genesis
Direction briefdashreaper.md
dashreaper.md
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