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Workspace: Focus 80/20 · Organization: Active profile

Generate Insights

Select scope and period first. Insight availability and coverage checks will evaluate these selections.

Opportunity Map
What's Next
Roll Up
Coverage by Period

Audit completeness by canonical period (YYYYQ#). Wrong-period records are visible but excluded from aligned counts.


Wrong-period / mismatched records
Coverage by Scope

Audit completeness by organization hierarchy. Missing, unassigned, wrong-level, and wrong-period statuses are separated; Impact Assessment records remain visible as managed outputs.

Coverage by Analysis Type

Audit completeness by analysis type with period/scope distributions and unassigned bucket.

Saved Analyses

Browse saved QQ / QQ Compare / RTG / Customer Cleanup / Impact Assessment / Zero-Up / Measurement analyses across scope and period.

Upload

Upload a CSV or Excel file to begin your 80/20 analysis workflow.

Configure

Map your columns and ranking rules before running the analysis.

Numeric Variables

Customer Variables

Product Variables


Filter Data (optional)


Validate

Review completeness checks and confirm the dataset is ready for configuration.

Configuration Summary

Review the charts and summaries to interpret the 80/20 results.

Customer Quartile
Product Quartile
Customer Pareto
Customer Tornado
Customer Rankings
Product Pareto
Product Tornado
Product Rankings

Save

Save this analysis first, then download or deliver summary, insights, and data exports.

Save Analysis

Download Files

Upload

Upload two QQ Data exports to begin the compare workflow.

Configure

Confirm the column mappings and labels for the compare run.

Numeric Variables

Customer Variables

Product Variables

Validate

Review the preview and completeness checks before running the compare.

Column Coverage Summary
Configuration Summary
Data Preview (Matching Columns Only)
Data Check (Matching Columns Only)
Compare two QQ Data exports (Download #3)
Bridge
Class Bridge
Promotion/Demotion Detail
Cut-off Bridge

Save

Save this QQ Compare analysis first, then download Compare, Bridge, and Cut-off Bridge exports.

Save Analysis

Upload

Upload a CSV or Excel file to begin your RTG scenario workflow.

Configure

Map your columns for RTG scenarios.

Config Presets

Account Mapping

Organization Mapping

Time Mapping


Validate Config

Review completeness checks and confirm the dataset is ready for RTG analysis.

Quarter Comparison

Map

Map each row label to an RTG bucket.

Required RTG Buckets with TTM Totals from Mapping

Validate Map

Review Net Sales, Gross Margin, and EBITDA by year.

RTG Analysis

Quarterly RTG metrics for the whole business.

Detected detail level
RTG Ratio Trend
Revenue, Material Margin, and Total Employee Costs
RTG Change Decomposition (First 4 vs Last 4 Quarters)

Save

Save this RTG analysis first, then download or deliver RTG summary outputs and data exports.

Save Analysis

Download Files

Zero-Up Build

Executive scenario builder that combines a saved QQ baseline, a saved RTG baseline, and uploaded payroll/prework assumptions into a From-To summary.


Payroll / Prework Input

Upload the current payroll / prework baseline here. Role counts by Quad are edited inside each segment after upload.

Segment 1 is the canonical workbook pattern. This implementation applies the same interaction pattern to the selected saved-analysis scope and matching payroll upload.


Summary Export

Minimal MVP export follows the app's existing summary-first pattern.

Download Zero-Up Summary
Impact Assessment

Build a first-pass Opportunity Map from one saved QQ analysis and one saved RTG analysis grounded in the workbook structure.

Load Saved Assessment
Source Analyses
Executive EBITDA Bridge
Scenario Assumptions

Calculations refresh automatically as assumptions change.

Save Analysis
Simplification – Quad 4

Start with the safest simplification opportunities first.

Action Center

Manage created simplification actions.

Measurement (Bowler)
More
Manage Organization

Create and maintain organization levels manually. (PR2)


Organization Hierarchy

Current Organization

Permissions Admin

Saved Analysis Artifact Controls

Upload

Upload a customer dataset, preview the fields, and then build a manual cleanup review queue.

Review

Review every proposed parent-customer mapping before applying it back to the source data.

Save

Download the cleaned output and the approved mapping asset for reuse in later runs.