Chiclet Slicer
Button-based slicer for Power BI that can be arranged horizontally or as a matrix, with cross highlighting and image support.
Microsoft CorporationPaid
AnalystPro
by AnalystProMicrosoft 365Price not published
Trace Excel model dependencies, rank input impact, map formula relationships, and test scenarios through a visual knowledge graph.
PRICINGNot published
DEPLOYMENTCloud
CATEGORYAnalytics
UPDATED ON MARKETPLACE
What it does
AnalystPro reads an Excel financial model's formulas, dependencies, cross-sheet references, and calculation chains, then represents them as a knowledge graph. It traces selected cells back to their formulas and assumptions. Deterministic sensitivity analysis ranks inputs by their effect on outputs, while scenario testing examines changes across the model structure. The add-in can generate shareable visual links showing the model map.
Key capabilities
from the Microsoft Marketplace listingCell dependency tracing
Traces a selected cell through its formulas, dependencies, and underlying assumptions.
Input impact ranking
Ranks model inputs by their effect on an output through deterministic sensitivity analysis.
Knowledge graph mapping
Displays formula relationships and dependency paths in an interactive knowledge graph.
Scenario testing
Runs what-if tests across the model structure rather than testing one variable at a time.
Shareable model maps
Generates links to visual model maps that recipients can view without an account.
Use cases
- Due diligence teams can trace assumptions through inherited financial models.
- Risk and compliance teams can map end-user computing data lineage for reporting.
Who it's for
PE and investment teams, CFOs, FP&A teams, due diligence and transaction teams, and risk and compliance teams.
In the catalog
1,160 plugins in Microsoft Teams · Analytics
Price distribution: 33 free, 53 freemium, 390 paid, 684 price not published
Pricing & deployment
Platform
Microsoft 365
Product
Excel
Deployment
Cloud
Pricing
Price not published
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What the vendor says
«The drivers that actually determine your model's output are buried layers deep — and nobody can see them. Financial models look like numbers in cells. Underneath, there are hundreds of inputs flowing through nested formulas, cross-sheet references, and calculation chains. The assumptions that matter most are rarely …»