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Competitive Intelligence System

Automated landscape analysis across 14 market segments, refreshed weekly and exportable as a brief.

StrategyData engineering
intel.platform.dev
Competitive Landscape — Q4
14 segments tracked
Segment
Volume
YoY
Accounts
Enterprise
$2.14B
+12.4%
847
Mid-Market
$1.02B
+8.1%
1,204
Growth
$612M
+19.7%
2,318
Regional
$408M
+4.2%
961
Emerging
$233M
+27.5%
1,540
14
Segments tracked
$2.1B
Volume modeled
40
Report pages
Weekly
Refresh cadence
The problem

Leadership was making positioning decisions off a competitive picture that was rebuilt by hand each quarter — stale the day it shipped, and impossible to defend because no one could trace where a number came from.

The approach
01

Define the model first

We agreed on exactly what a segment is, how volume is measured, and what counts as a comparable — before writing any code. Ambiguity in the definitions is what had made the old reports unfalsifiable.

02

Ingest the disparate sources

Public filings, pricing pages, and structured feeds flow into one normalized model. Each figure carries its provenance, so every cell in the report traces back to a source.

03

Brief, not dashboard

The output is a 40-page brief any executive can read, generated on a weekly schedule. The dashboard exists for the analysts; the brief exists for the decision.

The outcome

Positioning conversations now start from a shared, sourced picture that refreshes weekly instead of quarterly. When a number is questioned, it takes seconds to show where it came from.

14
Segments tracked
$2.1B
Volume modeled
40
Report pages
Weekly
Refresh cadence

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