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Accelerating Data Harmonization for Holding Companies

Editor: Gina Nala, Daisy Amanda (LCI Team)


Today, more companies — including investment firms and holding companies — are actively reporting sustainability-related performance in addition to the regular  financial report. Even if holding companies do not run factories or production facilities, they still have a crucial role in managing ESG impacts across their portfolios.


However, managing these impacts and reporting them isn’t always straightforward. Holding companies may operate in different sectors, locations, and systems. This means that they may collect and report data in different ways.


In the context of sustainability reporting, this may become a barrier. The reporting team may find themselves collecting similar types of data from each subsidiary, such as energy usage, waste volumes, or emissions, but with different formats, definitions, and levels of detail.


This makes it difficult to consolidate the information into one consistent report. Without data harmonisation, insights become fragmented. It’s hard to track performance across the group, let alone tell a coherent story to stakeholders.


Why It Matters in ESG

In ESG specifically, data harmonisation plays a critical role. Without it, inconsistent data, such as how Scope 2 emissions or waste types are categorised, may undermine the credibility of group-level disclosures and may lead to misstatements in public reporting. It also complicates compliance with global standards like GRI, ISSB, or regulatory requirements from OJK.


The lack of harmonisation may also lead to real operational challenges:

  • delayed decision-making due to unclear data

  • missed opportunities for synergy

  • siloed operations

  • difficulty in tracking group-wide performance


What Data Harmonization Really Means

Data harmonization is essentially about alignment. It means using common definitions, shared assumptions, and consistent formats so that all data speaks the same language.


When this happens, the reporting process becomes much more efficient:

  • results across business units can be compared fairly

  • consolidation becomes faster

  • review and audit processes are smoother


Data harmonisation will eventually build internal confidence, where people know that what’s being reported is comparable and reliable.


What It Takes to Harmonize

To enable harmonization, we need:

  • clear guidance from the head office

  • a standard data taxonomy that all subsidiaries follow

  • digital tools that can help integrate inputs into a centralized system


At LCI, our sustainability reporting experts have created a user-friendly tool called easySR to support a wide range of companies — including holding companies — in compiling and reporting their data more efficiently. This tool is supported by LCI sustainability experts to make sure that the data is understood, consistent, and ready to be used for ESG reporting.


With easySR, companies don’t just fill out templates—they gain a structured, guided process backed by expert support, ensuring the insights they report reflect their sustainability performance.


But more than anything, it requires commitment because harmonisation is about mindset and discipline.


Conclusion

In the end, harmonised data doesn’t just make reporting easier. It helps the entire group operate with more clarity, consistency, and credibility, especially when sustainability performance is increasingly under the spotlight.


 
 
 

7 Komentar


Great article! I believe ethical use of assignment assistance

is crucial to maintain integrity while learning. Data harmonization helps companies grow and stay organized. It's essential for holding companies to adopt these practices responsibly for long-term success and trust.

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Cole Owen
Cole Owen
18 Mar

This post perfectly captures a challenge that goes beyond just sustainability reporting — the need for consistency and alignment is universal across industries. It actually reminded me of how companies like Tesla approach internal alignment; studying Tesla human resource management reveals how they maintain coherent data flows and shared standards across global teams, ensuring every department speaks the same operational language. The parallel is striking: without harmonized systems, even the most data-rich organization ends up with fragmented insights that slow down decision-making. At New Assignment Help UK, we often guide students working on corporate strategy and ESG assignments who struggle with exactly this — synthesizing inconsistent data into a coherent narrative. Tools like easySR seem like a genuinely practical step…

Suka

The data harmonization strategies discussed here are so critical, especially for large holding companies trying to maintain a "single source of truth" across different subsidiaries. It’s actually quite similar to the struggle I’m facing as a final-year student trying to synthesize massive amounts of research into a coherent project without it looking like a disjointed mess. I’ve been so stressed about the technical side of my reporting that I actually looked into New Assignment Help just to get some guidance on structuring my data analysis properly. With all the AI tools being used in corporate data prep now, it’s even made me paranoid about my own academic integrity; I spent half the night Googling will turnitin detect chat gpt because I’m so…

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