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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Teva Pharmaceuticals


Teva’s material topics reflect the areas with the greatest ESG impact on our stakeholders and business. We conduct materiality assessments to refine and evaluate key topics. We carried out our first materiality assessment in 2013, and in the years since, our reporting has been grounded in an internal assessment, gap analysis and stakeholder consultation on ESG issues. In 2020, Teva conducted a materiality assessment with an AI-powered tool to guide the development of our renewed strategy.

ESG Progress Report 2021, page 13



Since 2020, we have partnered with Datamaran, an ESG risk identification and monitoring software company that uses a comprehensive data-driven process to identify, prioritize and monitor ESG issues. Its business intelligence tool aims to leverage artificial intelligence to incorporate a wide array of inputs, including corporate reports, global regulations, Sustainability Accounting Standards Board (SASB) metrics, social media and online news. We believe this tool is one of many useful inputs into our overall process for assessing the relevance of ESG issues and trends and that it helps us evaluate our alignment with diverse and sometimes competing stakeholder interests.

Sustainability Report 2021, page 13



In 2021, we conducted a materiality analysis. Both internal and external perspectives were considered in evaluating our ESG priorities. Prioritizing the ESG topics that could have a significant impact on our business and that matter to our stakeholders enables us to focus on the appropriate issues, communicate more effectively internally and externally, and ultimately allocate our resources to ESG efforts that create long-term value and have a positive impact on our shareholders and society.

Topic prioritization taking into account importance to stakeholders - Obtained external stakeholder feedback from analyst reports, investor queries, data from Datamaran (an AI-driven tool) and other resources to determine prioritization of topics 

ESG Report 2021, page 10

Cassa Depositi e Prestiti (CDP)


As regards stakeholders' involvement, methods of direct engagement were used (online surveys for Top Management, Shareholders, ministries & Institutions, Counterparties, Suppliers, Partners and Employees) together with artificial intelligence instruments (Datamaran for Peers, Media, and Opinion Makers, Regulators, Financial Community and Policy Makers).

Bilancio Integrato 2021, page 21



In January 2021, we refreshed our materiality assessment using Datamaran, a business analytics tool that identifies and monitors ESG external risks. In conducting this assessment, we considered double materiality, which means 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.

ESG Report 2021, page 19



In 2021, Assent kicked off a materiality assessment to formally evaluate our key sustainability impacts, risks, and opportunities.

To oversee this process, we established a cross-departmental project team, including members of Assent’s Leadership team. We have decided to work with a third-party service provider, Datamaran — a software analytics platform that automates the materiality process — to ensure a comprehensive and data-based approach that includes all the key external and internal stakeholder perspectives. 

Datamaran will send a survey to all Assent team members, as well as our board members, to capture their views on which sustainability issues are material to Assent. We will use Datamaran’s analysis of reports and online data to understand the perspective of our external stakeholders. The results of our materiality assessment will form the basis of Assent’s first Corporate Sustainability strategy. 

We will release the results of this materiality assessment in 2022 as part of our commitment to transparency. 

Corporate Social Responsibility Report 2021, page 11

Owens Corning


A sustainability review was conducted of the topic mapping, and the preliminary matrix data, taking into account the changes due to refreshing the data sources, and in the case of new Datamaran ontology, refreshing the underlying aspects of the material topics themselves. Through this assessment, it was determined that some topics did have slight movements in their weighting due to the new data. Despite these minor movements, the fundamental positions of the Material Topics, such as where topics lie in regions of the graph, were not significantly changed, and the Material Topics and their visual representations continue to represent Owens Corning’s material sustainability topics accurately.

Sustainability Report 2021, page 36



Once a year, we conduct a materiality assessment to understand which environmental, social and governance issues are most likely to impact the long-term success of LEO Pharma.

Since 2020, we have used a data-driven approach to prepare the materiality matrix, using the globally recognized analytics software Datamaran. By reviewing millions of data points from corporate reports, mandatory and voluntary regulations, news and social media, Datamaran’s platform provides us with an overview of the issues which are important to our external stakeholders. We combine these insights with input from key external and internal stakeholders provided through surveys to complete our materiality matrix. For our internal stakeholders, we conducted workshops with senior leaders to validate survey results. Our materiality matrix and ranking of priority ESG topics are approved by LEO Pharma’s Sustainability Board.

Sustainability Report 2021, page 12

Unicredit S.p.A.


Our business strategy, long-term value creation and stakeholder engagement relies on our materiality matrix. The long term life of a business depends on its ability to adapt to stakeholders' expectations, identify negative impact and reduce it. This dynamic materiality concept recognises that what is considered material can change over time and therefore takes a forward-looking approach to ESG topics, allowing more regular action on newly identified risks and financially relevant issues.

This year, engagement with stakeholders has led us to enhance our materiality matrix even further by underlining the actual and tangible needs to take into account. Our analysis is based on information sourced externally by the Datamaran tool and internally during engagement with stakeholders.

To develop the financial materiality we applied information sourced by the Datamaran tool. It leverages on the annual financial reports from industry peers, the mandatory regulations, the voluntary initiatives from financials market, and SASB standards as provider of capital point of view. The external sources enabled us to examine the main laws and directives impacting the financial sector of the regions in which we operate, analyse the latest news on the sector on online media and social networks and to benchmark our report against those of other banks

Integrated Report 2021, page 42

TD Bank


Materiality assessments are a key tool to identify and prioritize those ESG issues that are most significant to an organization.To employ a dynamic materiality approach, in 2021, we leveraged Datamaran, an artificial intelligence (AI) and analytics platform, to monitor and identify trends in our 2020 ESG material topics and relevant topics. Through the Datamaran platform, we conducted regular analysis on a variety of external sources, including mandatory regulations, corporate annual filings, voluntary policy initiatives, news and media to determine which topics show an increase (or decrease) in relevance over time and which stakeholder groups drove the change. As a result of our analysis, there were no significant departures from our 2020 materiality matrix. As such, this report is structured around the 12 material topics from our 2020 assessment.

ESG Report 2021, page 19



Leonardo updates the materiality analysis on a periodical basis for an appropriate description of the expectations of its stakeholders and the Group’s key priorities. The last update of the priority matrix is the outcome of an analysis, which was started in 2021 and completed in 2022 with its presentation to the Sustainability and Innovation Committee, concerning the regulations, best practices and priorities in the sector and public opinion on economic and financial, environmental, social and corporate governance issues.

The method used is that required by the GRI Standards, while also taking account of the guidelines of the SASB. In order to identify and prioritise material and/or emerging issues, the Company used both intelligence and big data analytics (Datamaran cloud software), in support of a data-driven approach, and stakeholder engagement tools (an online survey aimed at a sample of stakeholders and top management).

Annual Report 2021, page 308

Berry Global


In order to identify the material and emerging issues to be addressed by our Company, the materiality analysis was conducted using Datamaran’s software-based solution. One of the key benefits of using Datamaran was their software’s ability to analyze our external stakeholders’ disclosures. We were able to look at stakeholders individually as well as group them into segments (Customers, Investors, Peers, Retailers, and Suppliers) to determine the segments’ priorities. Datamaran’s analysis also allowed us to factor in regulatory trends.

Impact Report 2021, page 8



In order to ensure the reliability of the process in a constantly changing world, this time we have chosen to use and experiment with an innovative tool that allows a more dynamic approach: Datamaran.
This company based in England is innovative in the external risk management market. It uses artificial intelligence and Big Data to scan public information (see II.2) and provide a real-time analysis of the external vision.

The first step was to determine the human, environmental and societal issues that could be material to Decathlon (issues are considered material when they influence the company’s or its stakeholders’ decisions). This list was defined based on previous assessments using the ISO 26000 standard on the material issues that have already been identified and on an expanded list of issues proposed by the Datamaran database.

Materiality Assessment, page 3-4

Equinox Gold


Equinox Gold’s ESG strategy includes engagement with a variety of stakeholders, the adoption of adequate governance frameworks and the implementation of protocols and systems to ensure we understand and adequately manage the environmental and social impacts of our business. This strategy includes identifying the most salient ESG issues, management approaches for these issues, monitoring of performance and continual improvement. Moreover, wherever possible, we aim to identify opportunities to strategically contribute to environmental stewardship efforts and to add long-term value to the communities and regions where we work.

2020 ESG Report, page 8

Booz Allen Hamilton


We are employing an increasingly data-focused lens to build on and refine, validate, and prioritize the ESG impacts that are relevant to our stakeholders in their interactions with Booz Allen.In 2021, we began leveraging an artificial intelligence (AI)-powered risk analysis risk analysis program to complement our evaluation process, harnessing innovation to power a continuous data-driven review of ESG-related risks and our regulatory, competitive, and operating contexts. With this model, we continue to build on a dynamic ESG focus that can respond to external events, evolving business priorities, and our own performance results.

2021 (ESG) Impact Report, page 13



Since 2019, we have been working with Datamaran and its business intelligence tool to conduct real-time materiality assessments, which identify and prioritize the ESG impacts, risks and opportunities most important to internal and external stakeholders. This tool, which leverages artificial intelligence, incorporates a wide array of inputs including corporate reports, global regulations and initiatives, social media and online news.

PSEG Sustainability and Climate Report, page 21

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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