Company Driver Dashboard Library
A common entry point for company-driver dashboards. Select a company to review its historical relationships, leading indicators, consensus availability and source diagnostics.
SIKA SW Equity · Materials
Sika AG
Construction-chemicals company-driver dashboard using the approved AS-led relationship universe, field-contract V3 and scoring-contract V4. Candidate primitives use exact quarterly YoY growth, capex is normalized to absolute spend before YoY, ratios use YoY percentage-point change, and signed flows use YoY absolute change. FDR and rolling-origin MAE remain visible non-binding diagnostics; scored and rendered vector hashes must match.
Dashboard sections
GIVN SE Equity · Materials
Givaudan SA
Givaudan dashboard using the completed AS semantic graph, reviewed one-level target hierarchy, field-contract V3 and scoring-contract V4. Four governed organic-growth targets retain direct and approved revenue-weighted observations; reported relationships use true same-quarter quarterly-YoY signals and forecast relationships search +1Q through +4Q. Raw ratio and level correlations are prohibited, capex is normalized to absolute spend before YoY, primitive metrics are preferred within the one-metric company-target cap, and scored/rendered vector hashes must match.
Dashboard sections
DELL UN Equity · Information Technology
Dell Technologies Inc.
Dell dashboard using eight explicit raw-target quarterly-YoY vectors, the completed AS semantic graph, field-contract V3 and scoring-contract V4. Seven targets meet the 20-quarter scoring floor; ISG AI-optimized servers remains visible as a target-only card. Historical relationships use true same-quarter evidence and forecast relationships search +1Q through +4Q. Capex is normalized to absolute spend before YoY. FY1/FY0 consensus is available from the existing local raw extract; NTM/LTM remains unavailable pending reviewed FY2 and current-LTM extraction.
Dashboard sections
OTIS UN Equity · Industrials
Otis Worldwide Corporation
Otis clean-room dashboard using five field-contract-resolved direct organic-growth targets, the completed AS semantic graph, the versioned automatic series-scope classifier and the common V3 exact-vector scoring policy. A specific KONE Service/Maintenance MODL series may refine KONE's broad AS company edge, while mixed, geography-only and unknown labels remain partial, broad-only or excluded. All five targets have 25 standalone-company quarters and are explicitly labelled limited-history versus the preferred 32-quarter standard; no predecessor stitching is used. Group forward consensus is reconstructed from existing local FY0/FY1/FY2 and current-LTM files, while segment consensus remains explicitly unavailable. No Bloomberg extraction was run.
Dashboard sections
Common workflow
Methodology
1. Semantic scope
The AlphaSense semantic graph defines plausible company roles, target scope and eligible operational metrics.
2. Empirical scoring
Local quarterly series are tested for overlap, correlation, stability and constrained lead timing. Raw ratio and level correlations are prohibited: primitives use exact quarterly YoY growth, ratios use exact YoY percentage-point change, and signed flows use exact YoY absolute change. False-discovery rates are retained as diagnostics but are not promotion gates.
3. Dashboard promotion
Same-period relationships populate historical dashboard composites. Candidate leads of one to four quarters are kept in the forecast layer. When both qualify, a primitive YoY metric is selected ahead of a ratio change for the same company and target. Signals average available approved sources and require at least one active source. Every dashed forward point is labelled active n / approved n; a one-source point is retained with an amber marker and warning but is not presented as diversified composite evidence. Forward source charts show all companies contributing to the forward period.
4. Company pack
Every company retains an independent index, source diagnostics, run metadata and governance provenance.
Relationship indicators are analytical evidence, not proof of causality and not a complete earnings forecast model.