Dashboard · i-SectorAlpha

AI Assistant

Hi. I answer only from the calculation ledger behind this dashboard. Where a figure is not in it, I say so rather than estimate it.

Calculated footprint

Scope breakdown GHG Protocol Scopes Scope 1 · Direct (owned sources)
Scope 2 · Indirect (purchased energy)
Scope 3 · Value chain (15 categories) The proportion of the group's calculated footprint attributable to each scope. Shares partition the same total the Calculated Footprint band above reports. Assumptions A scope with no calculated result shows a dash, not a zero: a confirmed zero and a missing calculation are different claims. Source: the calculated results, the same calculation as above, not a separate read

Scope 1

Scope 2

Scope 3

Green Rev

eco products

Contribution by entity Where the footprint actually is Each bar is what was calculated at that entity, split by GHG Protocol scope. A parent never repeats its children, so the bars partition the group total exactly. ⚠ This is not a rolled-up figure. A rolled-up total counts a company with everything under it; this chart counts only what was recorded at the company itself. Both partition the same group total, so a holding company is large rolled up and small here. Read the label before quoting either. The label at each bar end gives that entity's share and the running cumulative share. Source: calculated results in CO2e, checked against the calculation's own total before drawing

Footprint over time One bar per reporting period, split by scope Every bar is a separate calculation run read from the ledger. Nothing here is interpolated and nothing is summed in the browser. Switching to Year reads the engine's own annual runs rather than adding the months up. A period with no successful run leaves a gap and is counted underneath. It is never drawn as zero: "not calculated" and "emitted nothing" are different claims. Source: calculated totals, one point per period and scope

Calculated totals · never interpolated

Carbon beside water The two footprints rank facilities differently Left arm = carbon, right arm = water. Each bar is a share of its own footprint's total, which is the only honest way two different units can share one axis. Blue and grey water are never added. Blue is water removed from a catchment; grey is the water that would be needed to dilute what was discharged. A missing bar means no result exists for that entity, not a footprint of zero. Blue is computed wherever a withdrawal, a water bill or a supply-network balance was delivered; grey wherever effluent quality was. The years differ by site, so the water arm shows whatever this period holds. Every year at once: Footprint Explorer, Water. Source: calculated results · WFN volumetric blue and grey water footprint (Manual Eq. 2.6 for grey) · grey diluted to the UWWTD directive minimum, not to the plant's own permit (WFN defines cmax as the receiving water's ambient standard: open method question)

Share of each footprint's own total

Top sources Largest sources, by entity Each bar is one source at one entity, coloured by scope. Hover a bar for its method and its share. Source: calculated results in CO2e

Scope 1 Scope 2 Scope 3

Checks and actions

Checks against the declared basis

Screening…

Improvement actions

Working out what needs fixing…

Target tracking

Reading… Change in Settings

Reading the target and the calculated years…

Raw inputs

Purchased goods

Fleet fuel

Grid electricity

Waste generated

Vessel berth hours

Natural gas

Wastewater flow

Wastewater · BOD5

Wastewater · suspended solids

Wastewater · total nitrogen

Analysis Data overview

Data overview

…

Computing portfolio statistics…

Financed Emissions Financed Emissions (tCO2e) = Σ (AUM_i / Revenue_i) × Emissions_i PCAF methodology: your share of each issuer's emissions, proportional to your investment relative to their revenue. Intensity (tCO2e / $M AUM) = Financed Emissions / Total AUM Carbon efficiency of your portfolio. Lower = cleaner per dollar invested.

Scope 3 Category 15

Emission Intensity Emission Intensity (tCO2e / $M Revenue) = Scope 1 + 2 Emissions / Annual Revenue Carbon efficiency per dollar of business. Lower = cleaner operations per unit of economic output. Revenue-normalized so large and small companies are comparable. Top / Bottom 10 ranking Ranked within the selected sector. Outliers flagged against the sector median. Source: Scope 1/2 from i-ESG SR parsing · Revenue from financial disclosures · Quarterly refresh

† Non-GHG intensity estimated as sector-scaled proxy of Scope 1 · Dashed line = sector median (hover bars for peer-relative facts)

Operational Footprint Global entity map Each bubble = one portfolio issuer, positioned by country. Size = AUM weight in your portfolio. Hover details (per entity) Water withdrawal (t) · Energy consumption (TJ) · Waste (t) · Land occupied (ha) · AUM ($M) Coordinates are currently randomized within each country's bounds (not HQ-precise). Deterministic per entity so positions stay stable across filters. Source: CSV `country`, `aum`, `e_water_t`, `e_energy_TJ`, `e_waste_tons`, `e_land_occupied` · Backbone: E0401001+, E0201001+, E0602001+, E0501001–003

Bubble size = portfolio AUM weight · Click entity to zoom · Colour by sector

Resource Usage Top 8 issuers by metric (per tab) Water: total withdrawal (tonnes), reuse %, water-stress exposure
Energy: total consumption (TJ), renewable ratio, source mix (solar/wind/hydro/gas/coal/nuclear)
Waste: hazardous + non-hazardous, recycled/recovered/incinerated/landfill ratios
Land: occupied hectares, land-use change, deforestation area Filter Optional sector filter narrows the Top 8 to a single sector. Backbone: Water E0401001–E0404002 (30+ metrics) · Energy E0201001–E0203002 (25+) · Waste E0602001–E0603006 (12) · Land E0501001–E0501003 · SFDR PAI 30/32/37/35

Top 8 by metric

Resource Intensity /$M Median -

Derived = usage ÷ revenue ($M). Lower = more efficient · top 5 most intensive · respects the sector filter.

Social

Workforce Dynamics Headcount changes Full-time, part-time, and contractor headcount with year-over-year growth. Separations and turnover rate layered on top. Source: CSV `s_fulltime`, `s_parttime`, `s_contractor_count`, `s_training_hrs_*` · Backbone: S0101001+ (headcount 60+ metrics), S0102001+ (new hires), S0103001+ (separations), S0103082–S0103085 (turnover) · CSRD ESRS S1

Workforce Flow & Training

- hrs

Avg Training / employee

New Hires (total)

Avg Turnover

Backbone: S0201B_04 (training) · S0104B_01 (new hires) · S0105B_02 (turnover)

Health, Safety & Community LTIFR: Lost Time Injury Frequency Rate Lost-time injuries per 1,000,000 hours worked. Lower is better. The min–max range shows the safest vs most dangerous issuer in the portfolio. The spread matters as much as the average. H&S Policy & Community % of issuers with a formal H&S policy, plus average community investment and employee volunteering across reporting issuers. Backbone: LTIFR S0401A1_WK0 (GRI 403-9 a-iii · ESRS S1-14 §88b) · LTI S0301B_03 · H&S policy `s_hs_policy` · Community `s_community_invest_pct` · Volunteer `s_volunteer_hours`

LTIFR · per 1M hrs

- portfolio avg

Best (min)

Worst (max)

H&S Policy

Community Inv.

Volunteer hrs

-/-

Discrim. rep/rem

Backbone: S0401A1_WK0 (LTIFR) · S0301B_03 (LTI) · s_hs_policy · s_community_invest_pct · s_volunteer_hours · s_discrimination_cases/remed

Gender by Level Butterfly chart: M vs F at 3 levels Executive: C-suite + direct reports
Management: mid-level people managers
Staff: individual contributors Backbone: Exec S0101081/S0101082 · Mgmt S0101087/S0101088 · Staff S0101093/S0101094 · Gap: Committee Chair gender not in backbone · SFDR PAI 13 related

Committee Chair Gender (G2.2)

Male -%

Female -%

† Mid-level and Senior-level gender splits synthesized from enterprise ratio using level-discount factors.

Workforce Composition Employment type breakdown (donut) Full-time · Part-time · Non-employee (contractor / agency / consultant). Portfolio-level aggregate across all issuers. Parental Leave KPI strip Return rate + retention after parental leave, split by gender. Backbone: FT S0101018 · PT S0101019 · Non-employee S0101002+ (with gender/age/perm/temp granularity) · Parental leave S0601001–S0601062 · CSRD ESRS S1

Full-Time

Part-Time

Contractor

Parental Leave

Male Uptake -%

Female Uptake -%

Return Rate -%

12mo Retention -%

Backbone: S0601001–S0601062 · Parental leave uptake, return & retention by gender

Incidents & Complaints

Backbone: S0401B_01 · S0502B_16 · S0503B_07 · S0503B_08 · S0503B_09 · injury cases / injured persons / privacy breaches / security incidents / customer complaints

Gender Pay Gap Unadjusted pay gap (%) = (Median male earnings − Median female earnings) / Median male earnings Unadjusted = before controlling for role, level, or tenure. Positive % = women paid less. This is the SFDR PAI 12 mandatory definition. Breakdown axes By level: Executive / Management / Staff
By contract: Permanent / Temporary
By time: Full-time / Part-time Source: CSV `s_pay_gap_*`, `s_salgap_male_female` · Backbone: S0201001 (overall), S0201009–011 (by level), S0201005–008 (by contract/time) · Living wage: S0202001–S0202066 · SFDR PAI 12 mandatory

Backbone: S0201001–S0201011 · Unadjusted gender pay gap (%) · positive = men earn more

Gap Summary Portfolio pay-gap KPI panel Aggregated view of the Gender Pay Gap chart next to this card: portfolio-average gap % broken out by level (Exec / Mgmt / Staff). Living Wage Coverage % of workforce paid at or above the local living wage threshold, split by gender and contract type (FT / PT). Backbone: Pay gap S0201001–S0201011 · Living wage S0202001–S0202066 · SFDR PAI 12 · CSRD ESRS S1

Portfolio Avg. Gap

0% (Parity)25%+

Executive -%

Management -%

Staff -%

Permanent -%

Temporary -%

Living Wage Coverage

Male

Female

Full-Time

Part-Time

Backbone: S0201001–S0201011 (pay gap) · S0202001–S0202066 (living wage)

Governance

Governance Policy Compliance Per-issuer governance policies (Yes / No) From the submission, shown per issuer as Yes/No: Ethics & Anti-Corruption, Whistleblower, ESG Organization, Materiality Assessment, and Privacy Management. Privacy (!) Privacy Management (social.privacy_management) is a Social-category question, marked (!). It is surfaced here as a policy Yes/No until a dedicated privacy view exists. Adoption % Header = % of portfolio issuers with each policy in place. Custom codes (no backbone metric yet): CG01 ethics · CG03 whistleblower · CX03 ESG org · CX08 materiality · CS01 privacy. Relevant to CSRD ESRS G1/S4, SFDR PAI 10/11.

Yes/No from submissions · Ethics (CG01) · Whistleblower (CG03) · ESG Org (CX03) · Materiality (CX08) · Privacy (CS01) (!) = Social category.

Corruption Risk Bubble chart: 3 dimensions X axis: Corruption incident frequency (count)
Y axis: Total regulatory fines / losses ($M)
Bubble size: Loss per incident = Fines ÷ Frequency How to read it Top-right = chronic, costly (systemic risk) · Top-left + large bubble = rare but severe · Bottom-right = frequent minor issues · Bottom-left = clean. Source: CSV `s_corr_freq`, `s_corr_loss` · Backbone: G0201001–G0201003 (cases, site assessment) · SFDR PAI 15

X: Frequency | Y: Loss ($M) | Size: Loss/Event

Governance Metrics Supplier Certification (G3.2) % of suppliers assessed on ESG / sustainability criteria. Higher = more supply-chain transparency. Ethics Compliance (G4.2) † Synthesized metric: no direct backbone match for ethics training completion %. Currently derived from supplier code of conduct + ethics policy flags. Board Independence (G1.2) = Independent directors / Total board members. Target typically ≥50% for listed companies. Board Women (G2.1) = Women on board / Total board members. SFDR PAI 13 mandatory. Backbone: Supplier S1001005/006, E0902002, G0402001 · Ethics (synth) · Board indep G0101009/G0101001 · Board women G0101003/G0101001 · SFDR PAI 13

Supplier Certification (G3.2) -%

Ethics Compliance (G4.2) † -%

Board Independence G1.2

Board Women G2.1 · SFDR PAI 13

CEO Pay Ratio -×

1×Avg ~150×300×+

† Ethics compliance synthesized. CEO ratio = S0203003.

Readiness Heatmap Per-issuer × per-framework coverage Each cell = % of required data points that the issuer has disclosed for that regulatory framework. Green = well prepared, red = significant gaps. Frameworks covered SASB · GRI · ISSB · TCFD · SFDR · EBA · EU Taxonomy · CSRD · SEC Climate · PCAF · ECB · MAS · Basel · CBAM · CSDDD (15 total) How coverage is calculated i-ESG maps each regulatory data requirement to backbone metrics. Coverage = disclosed metrics / required metrics for that framework, presence-based, with no adjustment for quality. Source: i-ESG backbone → regulation mapping (internal mapping sheet)

90%+ 75-89% 50-74% <50%

Company

SASB

GRI

ISSB

TCFD

SFDR

EBA

EU Tax

CSRD

SEC

PCAF

ECB

MAS

Basel

CBAM

CSDDD

Financial Performance

$142.50 +2.4%

ESG Performance Audit

Benchmark: Sector

Overall ESG Score

Environmental

Social

Governance

Entity Connection Map Sector Clusters view Force-directed graph where each node = one portfolio issuer. Issuers are pulled toward their sector hub; connection lines show the hub-spoke relationship. How to read it Tight clusters = sector concentration · Isolated nodes = single-issuer sector exposures · Hub sizes reflect how many issuers the portfolio holds in each sector. Interactions Drag to rearrange · Scroll to zoom · Click an entity for ESG detail · Filter by portfolio or sector from the top-right controls · Search by company or ticker. Risk Similarity view: archived A second view based on ESG risk similarity was removed 2026-04-15. The underlying similarity metric is not yet measurable with confidence from backbone data alone. The rendering code is preserved in `renderRiskNetwork()` for future re-enable once a defensible similarity score exists. Engine: D3 force simulation · Source: CSV `sector`, `portfolio` · No metric-based distance (clean Sector Clusters only)

Edges connect companies with similar ESG risk profiles · Node size = AUM weight · Colour = sector

Detailed Data Matrix Raw data access layer Every portfolio issuer × every backbone metric, as a searchable and exportable table. Anything the cards above show is derived from here. Controls Sector / portfolio / pillar (B·E·S·G) filters · Column manager (show/hide columns) · Full-text search by company or ticker · Click-to-sort on any column. Export CSV export of the currently filtered view. REST API export planned for v2. Source: All 965 backbone metrics · Per-customer instance scope · Refreshed quarterly with the benchmark universe

Raw data view: backbone metrics for all portfolio constituents

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Target Portfolio

Sector

Min ESG Score 0

Min Env Score 0

Min Soc Score 0

Min Gov Score 0

Data View

Top sources Largest sources, by entity Each bar is one source at one entity, coloured by scope. Hover a bar for its method and its share. Source: calculated results in CO2e

Checks against the declared basis

Improvement actions

Target tracking

Energy consumption

Water and waste

Data overview

Incidents & Complaints

Financial Performance

ESG Performance Audit

Data View

Manage Columns

Top sources Largest sources, by entity Each bar is one source at one entity, coloured by scope. Hover a bar for its method and its share. Source: calculated results in CO2e

Checks against the declared basis

Improvement actions

Target tracking

Energy consumption

Water and waste

Data overview

Incidents & Complaints

Data View

Manage Columns

Export Report

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