ESG reporting teams quietly turn into data warehouses rather than strategic advisors when they get mired in collecting everything instead of knowing what matters.
Key Insights
- ESG reporting often devolves into an overwhelming data-collection exercise that traps practitioners in mindless compliance rather than driving business strategy.
- To escape this trap, organisations must filter out irrelevant metrics and escalate only data that is material, actionable, and tied directly to enterprise risk management.
- By contextualising data to local market realities and using climate scenario modelling, leaders can transform regulatory requirements into a strategic tool for capital planning.
For many organisations, sustainability disclosures have become an overwhelming administrative burden rather than a genuine business driver. Teams gather a wide range of data points across massive footprints, yet struggle to translate these raw numbers into actionable strategy.
Treating ESG reporting as a data-collection exercise represents a significant missed opportunity. Sustainability, risk, and finance do not exist in a vacuum. When companies fail to cut through the noise, they lose sight of immediate enterprise risks and critical financial exposures, transforming highly skilled professionals into passive record-keepers.
To escape this compliance trap, leaders must fundamentally rethink their approach. At the Institute of Enterprise Risk Practitioners (IERP®) Global Conference 2026, Group Head of Sustainability and Governance at EDOTCO Group, Yazmin Islahudin, detailed how to shift from drowning in data to driving true strategic impact.
Recognising the Compliance Trap in ESG Reporting
Meeting regulatory requirements is the baseline, but focusing purely on framework completion traps highly skilled sustainability practitioners in a cycle of endless administration.
In 2026, reporting obligations intensified as Malaysia’s National Sustainability Reporting Framework (NSRF) formally mandated climate disclosures for both listed and non-listed companies. Navigating this complex landscape forces organisations to measure everything, regardless of whether the metrics are relevant to their business. While not without its merits, Yazmin cautioned that as these frameworks are built to be universal, they fundamentally reward completeness, turning reporting into a mindless tick-boxing exercise.
She illustrated this disconnect using EDOTCO’s operations. Despite her team tracking tens of thousands of data points across 45,000 towers, the on-the-ground reality does not always seem to justify the immense reporting effort – the telecommunications industry only contributes about 2% of global emissions, compared to heavier emitters like oil and gas at 15%.
When ESG reporting devolves into tracking too many metrics, companies waste their top talent. As Yazmin warned, experts are hired to be strategic advisors, yet often find themselves bogged down in the day-to-day process of collecting data. To avoid acting as record-keepers, sustainability leaders must ruthlessly cut through this administrative noise to surface only the metrics that drive business strategy.
Distilling ESG Data for Enterprise Risk Management
To cut through the clutter, risk practitioners must align their ESG data with executive oversight realities. Boards have limited time for sustainability discussions, requiring professionals to escalate metrics tied directly to enterprise risk management.
Treating directors’ time as a constrained commodity means abandoning dense spreadsheets. As Yazmin noted: “You only meet with them maybe 10 minutes every three months.” Just as risk practitioners filter registers to present top threats, ESG teams must screen metrics using three criteria:
- Materiality: Does it move the needle?
- Actionability: Can management act within 12 to 24 months?
- Risk Correlation: Does it map to existing exposures?
Additionally, a metric failing one test may pass others. For example, EDOTCO’s Scope 1 and 2 emissions (their direct operations and electricity use) form only 1% of their overall footprint. Yet, because both these Scopes are within management’s control i.e. reducing electricity to hit a 2030 carbon-neutral mandate, these metrics bypass the noise.
Contextualising ESG Data Across Diverse Markets
Building on the need to prioritise actionable metrics, risk practitioners must recognise that raw numbers hold little value without market context. A blanket sustainability strategy will inevitably fail across regions with varying maturity levels.
To translate ESG data into effective enterprise risk management, organisations must adapt to local infrastructure realities. Yazmin cautioned against standardising initiatives blindly: “You can’t use a broad brush [assumption that] what works in Malaysia will work in Pakistan.”
Malaysia’s grid is stable enough and sustainability readiness mature enough that standard green initiatives, such as Renewable Electricty Certificates (REC) and converting internal combustion engine vehicles to electric vehicles (EV), apply almost off the shelf. Pakistan’s environment doesn’t offer that luxury. Frequent blackouts force EDOTCO’s towers onto diesel generators just to stay online, turning fuel cost and network uptime into the same risk. An EV fleet, the fix that worked in Malaysia, would have missed the actual problem entirely as the risk resides at the tower, and not its fleet. Instead, EDOTCO solarised ten of its sites located at bad grid and off grid sites in Pakistan. As a result, management saw emissions down 49%, diesel usage down 48%, and operating cost down 44% within twelve months, proof that the right fix, aimed at the right point of failure, pays for itself.
In Indonesia, EV conversion was an easy win, cutting Scope 1 emissions 93% in a single quarter. Meanwhile in Bangladesh, which has no charging network in the targeted areas to make converting its fleet to EV viable, the company converted its fleet to vehicles running on compressed natural gas instead. And with no national REC scheme operational in Bangladesh, Scope 2 was reduced via unbundled RECs.
Ultimately, extracting strategic value from ESG data requires deep operational nuance. As Yazmin reminded the audience, “You can have data, but it’s all useless if you don’t give context to it.”
Transforming Climate Risk Modelling into a Competitive Advantage
Beyond solving immediate logistical hurdles, the right approach to ESG reporting unlocks commercial advantages. When applied correctly, mandatory disclosures like IFRS S1 and S2 global standards shift from an internal compliance cost to a clear roadmap for capital planning.
Instead of ticking boxes, climate scenario modelling functions as a vital enterprise risk management tool. It maps exact operational vulnerabilities, such as identifying the 6% to 8% of EDOTCO’s Malaysian towers exposed to flooding or the 1,995 sites vulnerable to rising coastal waters in Bangladesh. Understanding these physical exposures dictates precisely where leaders should direct their climate-hardening spend.
This proactive approach is a matter of financial survival. According to Willis Towers Watson’s Natural Catastrophe Review 2026, economic losses tied to Southeast Asian floods could soar tenfold and potentially exceed $10 billion per event. This projected surge is also prompting insurers to aggressively hike premiums and penalise unprepared businesses.
To mitigate these financial risks, organisations must quantify these exposures rapidly. As Yazmin explained, analysing climate scenarios helps prioritise investments, functioning as a vital “capital planning input.” By answering the hard questions early, companies remain in control.
“Companies that can answer which 500 of their assets are most exposed to a 2.5-degree Celsius world before a regulator, insurer or lender asks the question, hold that negotiating position,” she said, challenging the audience to adopt this mindset.
Driving Strategic Impact Beyond the Spreadsheet
Breaking free from the compliance trap requires the discipline to understand what it is measuring – not producing thicker decks or endlessly adopting new frameworks. Organisations that refine their data collection today will spend less time managing spreadsheets and more time driving actual business growth.
When presenting to directors, practitioners should replace activity-heavy updates with a single ESG Maturity Level slider. Showing exactly where an organisation stands today compared to its target immediately shifts executive conversations from a short-term administrative checklist to long-term strategic value.
Strategy, not volume, is what matters. As Yazmin concluded: “Good reporting doesn’t mean more slides, more data points, more standards that you comply with. What’s important is to understanding your data and developing your strategy from that.”
