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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.


 
 
 

4 Komentar


Hugo Morris
Hugo Morris
2 hari yang lalu

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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Simon Jack
Simon Jack
3 hari yang lalu

The growing popularity of the calculadora de integrales shows how digital learning tools are improving mathematics education. These calculators provide detailed solutions that explain the reasoning behind each step. That makes a calculadora de integrales extremely useful for anyone who wants to strengthen their calculus skills.

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Angus Cox
Angus Cox
02 Mar

This blog does a great job of highlighting something many organizations overlook — that data harmonization isn't just a technical fix, it's a cultural shift that requires commitment at every level. The point about inconsistent formats making group-wide ESG reporting nearly impossible really resonates, because the same challenge shows up in academic and research settings too. Just as students using an Assignment Writing Service UK are guided to follow consistent referencing styles, formatting standards, and clear definitions to produce credible work, holding companies need that same kind of structured discipline across their subsidiaries. Without it, even the best data becomes unreliable. Tools like easySR seem like a smart step toward building that shared language across business units — because ultimately,…

Suka

Reading this article on accelerating data harmonization for holding companies really connected with my own academic and professional journey, because as a current PhD student, I constantly see how inconsistent data and fragmented systems can slow down meaningful analysis and decision-making. Alongside my studies, I work part-time at Affordable Assignments, where I assist students with their academic work, and through this experience, especially in areas related to Psychology Assignment Writing Service I’ve realized how important structure, alignment, and clarity are, whether in corporate data systems or in academic research. During my college days, I struggled a lot with similar hustles, which is why I’m now deeply conscious about my own studies and genuinely interested in helping others navigate these challenges…

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