References in Corporates Reports

Companies worldwide use Datamaran’s evidence-based approach to inform their materiality, risk management, and reporting processes. This approach allows them to stay ahead of the curve, in front of the competition, and at the top of their game. 

Below, you can find small sample of some of our clients’ corporate reports, demonstrating how they used Datamaran for reporting and strategy, and which improvements they were able to implement. 

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Merck & Co


To conduct the assessment, we partnered with Datamaran, a materiality and ESG risk-management software company that uses a comprehensive and data-driven process for evaluating the relevance of ESG issues and trends to our business and our stakeholders. We leveraged Datamaran’s business intelligence platform, which applies SASB Accounting Metrics and is GRI-certified software, to evaluate the external landscape. The following 32 topics, specific to the pharmaceutical sector, were found to be of the highest importance to our external stakeholders.

ESG Progress Report, page 48



In 2020, Solenis performed a data-driven materiality assessment using the Datamaran to identify and prioritize our key material topics.

Material topics are those that have the potential to impact the long-term viability of the company and are of concern to our internal and external stakeholders. By monitoring the evolving sustainability risks and opportunities that will influence Soleni's business possition we are able to develop a better understanding of the importance of key sustainability topics to the business from reputational, operational and financial perspectives. We intend to update our materiality assessment on an annual basis to capture changes in our industry and wider external environment: Our materiality process consisted of three key phases:

- Internal stakeholder engagement
- External stakeholder analysis
- Ranking and prioritizing.

Sustainability Report, page 15

Owens Corning


In 2020, we conducted a refresh of the 2019 Materiality Assessment, in which we sought to confirm the continued relevance of the existing Material Topics and their relative positioning within the materiality matrix visuals for the company as a whole and broken out by region.

Our AI-driven model inputs, wherein specific subtopics are mapped to the company’s sustainability topics, underwent a complete overhaul as the Datamaran AI model was updated to reflect a new ontology. This led to reviews to ensure the desired scopes of the Material Topics were still being met, and to the addition of two new subtopics within our Material Topics.

Annual Sustainability Report, page 40

Marathon Petroleum


We engaged both external and internal stakeholders to understand their perspectives on a broad range of identified topics. We combined the information gathered from these engagements with insights from industry benchmarking, governmental regulations, voluntary initiatives and analysis of online news and social media trends to create a more nuanced understanding of priority reporting topics. To accomplish this, we utilized Datamaran®, a digital tool that uses realtime data and artificial intelligence to track meta trends and issue relevance over time. 

Annual Sustainability Report, page 7



To identify material and emerging issues to be addressed by our company and align with external and internal stakeholder expectations, we performed a materiality analysis using Datamaran: The only cloud-based software in the world that supports a comprehensive data-driven process for monitoring external issues and risks, including ESG. Datamaran offers real-time analytics on strategic, regulatory and reputational risks and opportunities, as well as executive ready insights. It strengthens our understanding of ESG, geopolitical, technology and emerging issues, enhancing our in-house capabilities to monitor their evolution.

Annual & Sustainability Report, page 26

Leo Pharma


In 2020, we updated our approach to materiality – the process of determining the environmental, social and governance issues that have the greatest impact on the long-term success of LEO Pharma. We used a data driven approach to prepare the mater- iality matrix, powered by Datamaran. Datamaran’s automated approach reviews millions of data points from corporate reports, mandatory and voluntary regulations, news and social media, combined with input from our internal stakeholders provided through a survey.

Annual Report, page 24



In January 2021, we refreshed our materiality assessment using Datamaran, a business analytics tool that identifies and monitors environmental, social and governance (ESG) external risks. In conducting this assessment, we considered the materiality of risks and opportunities that influence our financial performance and long-term enterprise value, as well as our impact on the economy, environment and society.

Sustainability Report, page 47



We refreshed our materiality assessment in late 2020 to reflect Fortive’s newly revised business segments and evolving maturity, using the AI-powered platform Datamaran® to improve data rigor. This platform provides a real-time pulse on the evolving landscape of ESG, allowing us to use leverage our 2020 materiality assessment to continue monitoring ESG topics’ traction among stakeholders.

To incorporate external perspectives, we assessed the following data sources: current and emerging/proposed regulations and policies, 1,000+ global news sources, publicly available financial and sustainability reports, and social media. Using AI, Datamaran reviews the prevalence, content, and significance of the ESG topics in publicly available sources, within business parameters such as industry peers, business sectors, and geography.

Sustainability Report, page 10 & 41

Unicredit SPA


The materiality matrix remains a fundamental tool for supporting our business strategy, creating value over the long term, and engaging with stakeholders. What may be immaterial to a company or industry today could become material tomorrow. This dynamic materiality concept underlines the strategic importance of making efforts to anticipate which issues might become financially relevant in the future, and requires a forward-looking approach to materiality.

Bearing this in mind, we build our analysis also applying information sourced both externally by the Datamaran tool and internally by listening to our stakeholders. This allowed us, through external sources, to investigate the main laws and directives that impact the financial sector in all the regions in which we operate, to analyse the latest news on the sector on online media and social networks and to benchmark our report versus those published by other banks.

Also this year the top management and Board have demonstrated their strong engagement during several meetings, as well as the Corporate Governance, Nomination and Sustainability Committee (CGN&S) by overviewing ESG topics and our sustainability strategy.

Integrated Report, page 34



 To select the topics to be included in our integrated reporting, we conducted a comprehensive materiality assessment in 2020 using an artificial intelligence (AI) and Big Data solution from Datamaran Limited that helped us build an evidence-based materiality matrix. For the first time, we assessed economic, social, and environmental topics in our reporting according to three criteria:
1) Importance to stakeholders (Y-axis)
2) Relevance to SAP’s business success (X-axis)
3) Magnitude of the impact on society, the environment, and
the economy (differently colored circles)

(...) Since we oriented ourselves on the topics provided in the Datamaran matrix, the selected topics are more detailed than in our last materiality assessment.

Integrated Report, page 218



"Similar to 2019, we used an evidence-based approach to materiality analysis powered by Datamaran. By applying Datamaran’s automated sifting and analysis of millions of data points from publicly available sources, including, corporate reports, mandatory regulations and voluntary initiatives, as well as news and social media, we identified a list of topics that are material to our business. With this data-driven approach to materiality analysis we have incorporated a wider range of data and stakeholders than was ever possible before and managed to get an evidencebased perspective into regulatory, strategic and reputational risks and opportunities."

Annual Report, page 245



"The second way was through a review of our material CSR topics and emerging issues using Datamaran - a software analytics platform that supports a data-driven and dynamic materiality process. This review relied on sources, which were each used as individual inputs into a custom-made model that allowed WBA to build an evidence based approach to materiality. Corporate reports, regulations, online news and social media were analyzed by quantifying qualitative information to rank topics by importance, allowing us to incorporate a wide range of data and stakeholders (...) We also began a new CSR materiality assessment during fiscal 2020. The feedback received from ongoing stakeholder feedback, the insights from the Datamaran analysis, as well as preliminary indications from the new materiality assessment showed us that human rights; diversity, equity and inclusion; digital innovation; and reducing the negative impacts of waste materials and plastic are issues that have become increasingly important to our stakeholders. Datamaran’s patented technology also supported our stakeholder survey and the defining of material topics."

CSR Report, page 24



"BMO’s 2020 materiality assessment was conducted using Datamaran’s artificial intelligence and big data platform. The assessment was based on the GRI’s approach to materiality and resulted in the development of a materiality Consumer Protection and Transparency Human Rights matrix that prioritized the topics identified our stakeholders. Datamaran’s library of hundreds of sustainability issues was used to select and customize the 19 sustainability topics included in the assessment. The topics that were selected are generally consistent with BMO’s previous sustainability reports, though some new topics have been added. BMO continuously engages with stakeholders and monitors trends to validate the relevance of the priority topics that are identified. In-person engagement was challenging in 2020 due to the social distancing requirements of the COVID-19 pandemic, so we relied upon virtual stakeholder engagement to inform this assessment. Going forward, BMO plans to continue to conduct stakeholder engagement on sustainability topics annually, and to update the Datamaran analysis each year in order to monitor the rapidly evolving sustainability landscape."

Sustainability Report, page 13



"In order to identify material and emerging issues to be addressed by our company, we performed a data-driven materiality analysis using Datamaran and its patented technology that offers real- time analytics on strategic, regulatory and reputational risks and opportunities. This process has strengthened our understanding of ESG, geopolitical, technology and emerging issues, and enhances our in-house capabilities to monitor their evolution, while ensuring alignment with both internal and external stakeholder expectations."

ESG Performance Report, page 5



"In 2020, we began a new materiality assessment, which is still in progress. When final, results will guide future reporting as well as strategic ESG planning and priorities for 2020 and 2021. 

For the assessment, we engaged Datamaran, an AI-powered software that automates processes for identifying and monitoring non-financial risks. From the dataset generated by Datamaran, Teva identified a list of ESG topics material to our business and stakeholders, the definitions of which can be found on our website. Our material topics were then validated by Datamaran’s database, which includes corporate reports, mandatory and voluntary regulations and online and social media. Additionally, we validated the data by surveys shared with our direct stakeholders, including investors, employees, suppliers, customers, global health leaders, non-governmental organizations and academia."

ESG Progress Report, page 52



"The survey and interview data were then merged with data from Datamaran, an online materiality analysis tool that allows for effective consideration of indirect stakeholder data, such as news media, social media, regulations, and peer companies. This data was collected for the four regions of our analysis as well, and combined with relevant regional data from the survey".

Sustainability Report, page 24



"Reflecting EQT’s focus on technological innovation and process efficiencies, ERM used an artificial intelligence software provider, Datamaran, to identify the universe of potentially relevant environmental, social and economic topics applicable to our industry. Datamaran’s benchmarking, regulation, news ow and social media modules analyzed thousands of additional inputs to add to our analysis."

ESG Report, page 15



"We used Datamaran in addition to sources used in previous years. The latest materiality exercise included the following improvements:

  • Expanding the scope of data and stakeholders from prior years;
  • Relying on a comparable, replicable, objective and traceable methodology;
  • Including strategic business themes through both financial and non-financial issues; and
  • Establishing a clear link between each source and the stakeholder groups.

The process also included an assessment of the issues by BBVA Compass in order to represent the strategic goals and build a materiality matrix that takes into account views of both the external and internal stakeholders."

Responsible Banking Report, page 9



"This year, we combined this survey information with peer disclosure benchmarking, government regulations, and analysis of online news and social trends to create a more nuanced understanding of priority issues. We did this through Datamaran, a digital tool that uses real-time data and artificial intelligence (AI) to track issue relevance over time and integrate results into strategic discussions.
The combination of stakeholder responses and Datamaran insights produced our FY19 list of priority issues."

Impact Report, page 65



"Material issues are determined and reassessed on an annual basis by management to ensure we stay on top of issues that could substantively affect our strategy, business model, ability to access required resources or key stakeholders. For reporting purposes, this process is anchored with the Disclosure Committee, chaired by the CFO.

Materiality determination is informed by legal requirements, insights from stakeholder feedback such as analyst reports and investor queries, patient panels, independent assurance, reputation surveys, the AI tool, Datamaran, and internal surveys among employees."

"Materiality determination" web-resource



"In 2019, we started working with Datamaran and its Materiality Analysis tool, a business intelligence tool that uses data and artificial intelligence to conduct real-time materiality assessments. This tool enabled PSEG to identify and prioritize the ESG impacts, risks and opportunities most important to internal and external stakeholders by analyzing sources that included corporate reports, global regulations and initiatives, social media and online news. This year, for the first time, we are publicly disclosing the results."

Sustainability Report, page 9



"To ensure that our sustainability work concentrates on the most material topics, we update our materiality assessment regularly. In 2018, we made a substantial update by applying a new data-driven approach, provided by Datamaran. In 2019, we supplemented this assessment. 

We were already aware of the topics that are material for Huhtamaki. What we wanted to do was to update the underlying data sources with more recent ones and to increase the number of stakeholder surveys included, to see how the respective order among the topics had changed over time. We included in the assessment news, hard law and soft law, tweets, corporate reports of 40 companies identified as main peers, customers and suppliers, and sustainability-related standards chosen according to their relevance for Huhtamaki’s business sector. We also sent surveys to relevant external and internal stakeholders, and managed to double the number of answers received. For more information about the materiality assessment and methodology used, please visit our webpage."

Sustainability Report 2019, page 13



"To identify material and emerging issues, in 2020 we conducted a materiality analysis using Datamaran, a cloud-based software platform that enables a comprehensive and data-driven process for monitoring external risks. The analysis monitors ESG issues in real-time, using analytics that give us insights into strategic, regulatory and reputational risks and opportunities that could impact AEP. This helps strengthen our understanding of ESG, geopolitical, technology and emerging issues, ensuring alignment with different internal and external stakeholder expectations while enhancing our in-house capabilities to monitor progress.

This effort provides critical input to the development of our corporate strategy, risk management, and disclosure and engagement, as well as meets growing stakeholder expectations. This is especially important as new issues, such as COVID-19 and social justice, continue to emerge, highlighting the rapid pace of the changing ESG landscape."


"In 2017, we will undertake a new review of AEP’s priority issues working with Datamaran, a global service provider whose data analytics platform uses Artificial Intelligence (AI) expertise to derive data-driven insights. Datamaran will help us benchmark and analyze data on regulatory, competitive and reputational risks related to the latest economic, environment and social (ESG) issues. We regularly discuss our priority issues with our Enterprise Sustainability Council and external stakeholders, as well as reviewing the company’s risk reports to seek alignment."

Corporate Accountability Report, page 24



"The process adopted to define the 2018 matrix of materiality involved a different approach compared to that of previous years because of the use of the Datamaran software, which allowed an automated analysis of the information available from public sources, including company reports, regulations, voluntary initiatives, news and social media, providing an external perspective of regulatory, strategic and reputational risks and opportunities. With this data-based approach, we have incorporated a broader range of information and stakeholders than in previous surveys."

Integrated Report, page 44



"Prioritization of issues according to their importance to the stakeholders. BBVA carried out a series of surveys and interviews with various stakeholders, as well as an analysis of social media and networks. In order to complete the prioritization, an analysis on trends and sectoral data was made, based on data from Datamaran, from which the issues most relevant to their peers were obtained."

Annual Financial and Non-financial Report, page 23



"A list of 22 topics was identified, reviewing our previous list of 28 topics in 2017, using insights from the BI tool Datamaran and internal sources.

To assess relevance to external stakeholders (the y-axis of the materiality matrix), analysis was conducted using the BI tool Datamaran. This tool analyses thousands of data points to provide a personalised external view of priorities. Criteria included: industry trends; mandatory and voluntary regulation; newsflow and social media.

Sustainability Report, page 12

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