Module 01
Source audit
Inventory of existing monitoring, ESG and media data sources. Detection of gaps, duplicates and the most expensive data blind spots.
Business-Intelligence
Agency · Case Study
Business
intelligence
for
reputation.
Building an enterprise-grade reputation analytics system: from media monitoring and ESG signal scoring to executive dashboards for the Lukoil communications function.
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01 / ContextBrief
The challenge: replace fragmented monitoring with one reputation cockpit.
Lukoil's corporate communications team had been working with a patchwork of media-monitoring vendors, manual ESG spreadsheets and ad-hoc crisis dashboards. What the company needed was not another report — it was a single, real-time reputation intelligence layer that decision-makers could actually rely on.
Market
Energy sector under sustained ESG, geopolitical and regulatory scrutiny; reputation volatility is the new norm.
Stakeholders
Investors, regulators, regional governments, employees and expert community — each with their own media diet and risk profile.
Brand
Strong operational reputation in core markets, but limited control over how ESG and ESG-adjacent narratives shape the brand globally.
Goal
Build a single source of reputation truth — measurable, auditable, integrated with the corporate decision cycle.
Methodology: four modules, from data sources to decision.
Each module answered a specific question the communications leadership asked before approving the next stage of the project.
Module 02
Stakeholder mapping
Stakeholder map across investors, regulators, regional governments, expert community and employees. Each with a tailored signal list.
Module 03
Signal model design
A scoring model for ESG, regulatory and reputational signals. Weighted by reach, source authority and stakeholder relevance.
Module 04
BI cockpit & alerts
Executive dashboards, automated digests and crisis thresholds wired into the corporate comms workflow. From raw data to decisions in one screen.
02 / IntelligenceScope & signals
What the system tracks and what signals the stakeholders give us.
The reputation cockpit covers six signal domains — from ESG ratings to regulatory mentions and employee-side narratives. Specific figures and scoring weights are closed under NDA; we publish only the logic and direction of the model.
A · Media
Media field and reach
Daily monitoring of federal and regional media, industry press and expert publications. Reach, tone, share of voice against category benchmarks.
Monitored sources
●●●●●
B · ESG
ESG signals and ratings
Tracking of ESG-rating movements, sustainability reports, NGO publications and investor-grade ESG assessments. Early warning on rating changes.
ESG agencies tracked
●●
C · Regulators
Regulatory and policy field
Bills, hearings, regulator statements, regional policy initiatives. Cross-referenced with the business geography of the client.
Regulatory sources
●●●
D · Social
Social and expert community
Opinion leaders, expert Telegram channels, professional communities and social platforms. Signal quality scored separately from reach.
Expert channels indexed
●●●●●
E · Internal
Employees and partners
Aggregated internal pulse, partner mentions and contractor feedback channels. Fed into the same reputation index as external signals.
Internal data sources
●●
F · Crisis
Crisis triggers and thresholds
Pre-built crisis scenarios with thresholds, escalation paths and notification templates. Tested in tabletop exercises.
Crisis scenarios modelled
●●
NDA Exact source counts, scoring weights and
stakeholder-level volumes are closed under the
client agreement. In a private conversation we can
walk you through the model architecture, dashboards
and threshold logic for each domain.
03 / Cockpit
From raw signals to an executive BI reputation stack.
Five layers of the intelligence system: from ingestion and scoring to the dashboards and crisis protocols the leadership team actually uses.
L1Ingestion
Data ingestion layer
Unified connectors for media monitoring, ESG agencies, regulators, social and internal systems. Normalised into one event stream.
01
L2Scoring
Reputation scoring model
Weighted score per stakeholder group: reach, source authority, sentiment and topic sensitivity combined into one index.
02
L3Alerts
Thresholds & early warning
Configurable thresholds for daily, weekly and crisis-level alerts. Routing rules by topic, geography and stakeholder profile.
03
L4BI
Executive dashboards
Board-grade dashboards with reputation index, driver breakdown, peer comparison and scenario simulation. Built for non-analyst users.
04
L5Action
Comms action protocols
Pre-defined responses per scenario: from statement templates to escalation paths between PR, IR, ESG and regional teams.
05
04 / ResultsOutcomes
What the BI reputation system delivered in the first quarters.
Below — the key directions of change based on internal usage metrics of the cockpit. Specific figures and peer comparisons are closed under NDA; the direction of impact is factual.
Detection speed
●●.●×
Reduction in time-to-detection of reputationally significant mentions across the integrated signal stream.
Source coverage
●●●●%
Share of reputation-relevant sources unified inside one cockpit versus the prior patchwork of monitoring vendors.
Decision cycle
●●→● h
Average time from signal detection to internal decision in the comms leadership after the cockpit was adopted.
ESG ratings
●●●
Direction of movement in aggregated ESG ratings across the tracked agencies during the project period.
Crisis lead time
●● h
Average lead time between early-warning trigger and the formal crisis response activation.
Stakeholder coverage
●●/●●
Share of priority stakeholder groups with a dedicated signal profile configured in the cockpit.
Want to discuss a similar intelligence project?
Tell us about your sector and your stakeholders. Where the work requires NDA, we share system architecture, dashboards and signal models under a closed format after a short call.
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