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NTT DATA Spain (SLU) is a global IT services and strategy consulting leader helping organizations align digital transformation with sustainability and responsible growth. We place sustainability at the core of our mission, using technology as a catalyst for a low-carbon, inclusive, and resilient future. By leveraging AI, Cloud, Big Data, and advanced analytics, we enable organizations to modernize operations while decarbonizing value chains. Our sustainability services combine consulting, IT solutions, proprietary assets, and a strong partner ecosystem to deliver measurable impact. We support net-zero and nature-positive strategies, ESG performance and regulatory compliance including CSRD and EU Taxonomy, low-carbon and circular IT, sustainable supply chains, and smart sustainability solutions using Digital Twins and IoT for energy, mobility, water, waste, and smart cities. With thousands of specialized professionals serving public and private sectors, we act as a long-term partner ensuring every digital initiative contributes to people, planet, and performance.

Syntphony Sustainability Solutions & Advisory helps organisations turn sustainability strategy into measurable operational impact. Powered by NTT DATA’s asset-based approach, we support clients through end-to-end Syntphony implementation, selective activation of platform components, or consulting-led engagements without platform deployment—always aligned to the same sustainability and transformation topics. Our capabilities span environmental impact calculation, smart infrastructure optimisation, natural capital governance, and value-chain traceability—enabling organisations to meet regulatory demands, improve efficiency, and scale sustainable operations with confidence. The result: a flexible, future-ready sustainability model where strategy, operations, and technology work as one—at your pace, and on your terms.

We help organisations deliver corporate sustainability end to end—from ESG strategy and regulatory readiness to audit-ready reporting and sustainable finance. Clients can engage across the full ESG lifecycle or select only the services they need, with or without the implementation of ESG reporting platforms or systems. Our approach is technology-agnostic, outcome-driven, and aligned with ESRS, CSRD, and global reporting standards. The result: a robust, future-proof ESG model that supports compliance, strengthens governance, and enables better strategic and financial decision-making.
ImpactYearly award aimed at entrepreneurs with scalable, sustainable, environmentally friendly projects that put technology at the service of society. It is a competition in which each country chooses its winning project. The winner, in addition to mentoring and the local prize, wins the right to participate in the global final, where they compete for €100,000 in non-repayable funding and specialized mentoring for their project. In addition, the finalists (winners from each country) participate in “Innovation Week,” a series of intensive acceleration sessions with technology seminars, rounds with investors, personalized meetings with key sectors for the growth of their projects, and networking, among other activities. +400 mentoring hours | 449.678€ invested (FY24)
ImpactIn our Blue Wave portal for employees in LATAM, North America, Portugal and Spain, there are 2.329 (FY24) registered volunteers, with 83 local initiatives with social and enviornmental impact.
ImpactThis data center pilot initiative aims to aid in the optimization and improvement of tracking our Sustainability goals through using data to show where we can improve efficiency. It is used as a model to scale for all data center sites. Through using this portal, we will be transitioning from Excel to an automated platform for emissions, water, and waste measurement.
ImpactThe Teaming Foundation was co-founded by NTT DATA in 2012 with the objective of fostering solidarity and generating social transformation combining technology and collaboration in the Teaming platform. It is the largest free micro-donations platform in Spain and one of the biggest in Europe: it is a solidary ecosystem where any person can support one or more causes by donating 1€ per month. 11.283 projects | 10.4M€ donated in FY24 | +62M€ donated since its inception | 410.734 active Teamers (FY24)









Case StudyPenske Automotive Group (PAG) is a diversified international transportation services company and one of the world's premier automotive and commercial truck retailers . To reduce its environmental impact, PAG partnered with NTT DATA sustainability consultants and Microsoft to quantify, benchmark and monitor its carbon emissions. To reduce carbon emissions across the business, PAG is focused on developing energy-efficient business operations, reducing waste-to-landfill and selling and servicing low and zero-emission vehicles available from its manufacturer partners. Business Needs Data platform enables a roadmap for decarbonization PAG desired to establish an emissions baseline for their operations to enable the creation of a sustainability roadmap to formulate more informed, data-driven decisions to reduce its environmental impact. PAG determined that an enterprise data management platform capable of capturing carbon inventory data at all levels of the company's portfolio — from dealerships to corporate and ancillary buildings — would help to baseline its current footprint, act as an ongoing monitoring system and allow the company to identify opportunities for efficiency improvements. "Reducing environmental impacts requires businesses to optimize energy efficiencies, reduce waste and find ways to reduce individual and collective impact on the environment," said Bill Combs, Senior Vice President of Sustainability with Penske. "We are prioritizing sustainability efforts to drive decarbonization throughout our operations. We trust NTT DATA's sustainability expertise to help us achieve this important objective." Solution Data modeling drives insight-based decision-making One of the core value propositions of NTT DATA's consulting services for PAG is the development of a comprehensive data model that accurately captures emissions data across the organization. This data model, founded on Microsoft Sustainability Manager, enables the company to access detailed information about its carbon footprint and identify opportunities for carbon reduction. The solution provides visibility into emissions activities, generates reliable reports on their impact, and creates the intelligence required to identify, monitor and scale sustainability initiatives. NTT DATA integrated all emissions activity data through this data architecture and created application programming interfaces (APIs) to connect the platform to PAG’s data warehouse. This offers the data and analytics needed to evaluate emissions factors based on the Greenhouse Gas Protocol to determine precise carbon emissions from each business activity. "It's important to identify, organize, and quantify data given the breadth of our various business units," said Mark Cooper, sustainability program leader for PAG. "NTT DATA has helped us efficiently collect the necessary information to quantify our Scope 1 and Scope 2 emissions.” Integrated Microsoft tools make data accessible and user-friendly In building a solution for PAG, NTT DATA utilizes a full complement of Microsoft solutions to gather data and generate actionable insights. The foundation is the Microsoft Sustainability Manager platform — hosted on Microsoft Azure — which NTT DATA uses to unify data intelligence, record data, generate sustainability dashboards and ultimately help PAG reduce its environmental impact. It allows the organization to gain visibility into the emissions activities across the organization, report progress more efficiently and access the intelligence to refine and scale sustainability initiatives over time. “The integration of the Microsoft Sustainability Platform on Microsoft Azure ensures Penske Automotive Group can manage their carbon emission reduction efforts ultimately reducing the organizations environmental impact.” said Shelly Blackburn, Vice President of Cross Solutions Area at Microsoft. Ultimately, NTT DATA is enabling PAG to automate data collection and generate a unified, accurate, and global carbon emissions reporting platform. "The partnership with NTT DATA is helping us to identify and understand our carbon footprint." said Combs. "With NTT DATA and Microsoft by our side, we hope to proactively improve our environmental performance as a responsible corporate and global citizen.”
Case StudyBusiness need Measure, understand and reduce energy consumption Hapimag is a sharing community that shares 56 holiday apartments across Europe. Individuals who purchase Hapimag shares receive a set number of points per annum which are used to book holiday apartments. To date Hapimag has more than 100,000 shareholders and is driven by the goal of creating a high quality and sustainable holiday experience. Sustainability and community are central to the Hapimag business model. The organization aims to minimize the ecological impact of their operations and strives for net-zero emissions by lowering overall energy consumption, switching to renewable energy sources and reducing waste. Hapimag engaged NTT DATA to better understand their current carbon footprint and find ways to reduce carbon emissions, in line with standards set out by the Greenhouse Gas (GHG) Protocol, the 2015 Paris Agreement and the organization’s own sustainability strategy. Solution Energy audits and recommendations reduce scope 1 and 2 emissions Initially, Hapimag asked NTT DATA to conduct a series of energy audits on a few selected resorts, to identify where their energy consumption was high. We were also asked to provide recommendations for reducing consumption. In response to growing pressures globally to mitigate the risks of climate change, Hapimag then went several steps further, engaging NTT DATA to extend the energy audits to all 56 of their resorts and develop their first GHG emissions inventory to include a scope 3 analysis. The project required a team of 10 consultants who supported Hapimag over 12 months. The team comprised specialists in environmental reporting who had the skills to measure carbon emissions from buildings and office practices. The team began by developing a toolkit in Excel that could be used to measure and audit the amount of carbon being emitted from different areas within the business. We focused on scope 1 and 2 calculations for the audit as areas within Hapimag’s sphere of control. By analyzing the data, the team was able to identify which technologies, assets and business areas were the most energy-intensive. As part of their plan to reduce carbon emissions, Hapimag also wanted a tool that could show the financial and environmental impact of reducing energy consumption and GHG emissions. So, in parallel to calculating their emissions as part of the audit, we built a carbon calculation tool that will automate data-collection and tracking and display the parameters being analyzed – energy savings, carbonemission savings and financial impact – in a graphic format, enabling Hapimag to independently monitor GHG emissions in the future. The GHG Protocol and Carbon Risk Real-Estate Monitor (CRREM) framework was used to develop the toolkit and propose mitigation measures for the scopes under Hapimag’s sphere of control, such as: Scope 1: Eliminate fossil fuel-consuming technical equipment by replacing low-efficiency pool heat pumps, switching to an all-electric transport fleet, installing district heating connections or moving to biomass boilers. Scope 2: Reduce electricity consumption by installing smart lighting systems and photovoltaic systems or replacing low-efficiency equipment. Combined scope 1&2 options: Implement consumptionmonitoring systems, improve building façade insulation, and replace glass windows with more modern and energy-efficient alternatives. Outcomes On the path to net-zero As a result of the work done by NTT DATA, Hapimag now has a clear view of their corporate carbon footprint and detailed information on which areas of the business, and which assets are most carbon-intensive. Using the customized tools developed by NTT DATA, Hapimag can continue tracking their carbon footprint independently. Following the recommendations made in the energy audits, diverse technical systems have been put in place in several resorts to help Hapimag reduce their total carbon footprint.
Case StudyLos datos son el petróleo del siglo XXI. Por mucho que se haya repetido, esta afirmación no deja de ser verdad, y es que, hoy en día, la información es, en efecto, clave para el desarrollo de los negocios. Pero los datos por sí solos no valen de mucho. El verdadero reto es tener capacidad para gestionarlos y, a través de ellos, generar conocimiento en la empresa y facilitar la toma de decisiones. BBVA tiene acreditada una larga trayectoria de impulso a las políticas de sostenibilidad, en especial las relacionadas con la cuestión medioambiental. Por ello, el grupo bancario BBVA se planteó la necesidad de implantar un sistema nuevo de cálculo y gestión de los datos medioambientales de sus centros y oficinas en todo el mundo. BBVA tiene en marcha un ambicioso Plan de Ecoeficiencia Global y, en 2021, fundó, junto a otras entidades globales, la Alianza Bancaria de Cero Emisiones Netas (NZBA, por sus siglas en inglés), una iniciativa promovida por la ONU. De hecho, NTT DATA ganó el Salesforce Partner Innovation Award en la categoría Net Zero por este proyecto Net Zero Cloud, información de valor donde antes había datos pedidos NTT DATA propuso a BBVA implantar Net Zero Cloud, una solución de Salesforce en la nube que automatiza la entrada de datos y cálculos. Gracias a esa potente herramienta, BBVA cuenta con una fuente de información fiable sobre los indicadores medioambientales de sus edificios corporativos. Con esa base podrá realizar una gestión integral de los datos, mejorará el seguimiento de sus objetivos de reducción de emisiones y facilitará la medición de su huella de carbono. Los datos que antes se quedaban en hojas de cálculo inmensas ahora se convierten en información. Descubre el funcionamiento de Net Zero Cloud Imaginemos que en varias oficinas de un país concreto de la red de BBVA se produce una desviación significativa al alza en el consumo de electricidad en un periodo. Gracias a la automatización de la entrada de información, esa anomalía podrá ser visualizada inmediatamente y, lo que es más importante, se tendrá acceso a los datos de todas las geografías. A partir de ahí, se generarán informes de análisis y gráficos de los indicadores correspondientes a la medición de consumos. En este caso, además, saltará una alerta para advertir que, dada la desviación respecto a tendencias anteriores, puede haber un problema con la calidad del dato o circunstancias excepcionales que justifiquen la irregularidad. Con toda esa información, conseguida de forma homogénea y ágil, los responsables de la entidad bancaria pueden tomar decisiones más eficientes para corregir el exceso de consumo de electricidad en las oficinas afectadas, como implantar medidas de ahorro específicas o invertir en sistemas alternativos. Del dato en bruto a la decisión informada en pocos pasos.
Case StudySince 2016, Damm has driven an ambitious digital transformation focused on optimizing key processes in production, logistics and sales. This initiative has laid the foundation for the integration of AI and data analytics as strategic pillars, particularly in hotels, restaurants, and cafés (HORECA). To help meet these goals, NTT DATA developed an AI agent to automatically detect duplicate hospitality establishments in the brewing group’s database. Business Needs Eliminating duplicate records in hospitality data Damm faced a challenge in ensuring the quality and consistency of its hospitality establishment data. Duplicate records complicated information management and increased operational costs, as each case required manual review before a decision could be made. The company needed an AI-based solution that could detect duplicates autonomously, then analyze the available information, and resolve them without manual intervention. With this initiative, Damm reinforces its commitment to operational excellence, aiming for a unified, high-quality database in the hotels, restaurants, and cafés (HORECA) channel with real-time updates. Solution Autonomous reasoning with contextual data NTT DATA designed a proof of concept for Damm using AI agents developed with Microsoft Azure technology. This solution combines automated reasoning with external tools — such as geolocation applications and simulated database queries — to enrich the analytical context before making a decision. The agent’s workflow includes collecting relevant data, performing contextual analysis and generating a final report. This report, sent automatically by email to a designated recipient, explains both the data used and the decision reached by the system. Unlike other solutions on the market, this approach stands out for: An architecture based on AI agents, enabling autonomous decision-making with advanced reasoning capabilities The combined use of Microsoft Azure services and external tools like geolocation to enrich data and provide additional context, enabling more accurate analysis Automated delivery of detailed reports setting out the decisions the system make and the reasons for them, offering transparency and a fully autonomous experience for the user This project was developed in collaboration with Microsoft, NTT DATA's strategic technology partner, using: Azure AI Foundry for integrating the language model and executing agent inferences Azure Agent Services as the operational core of the system Geolocation applications as an external information source to enrich the context of each analysis Outcomes AI agent that detects and resolves duplicate entries The autonomous agent we developed for Damm Group was highly accurate: Correct decision-making in 97% of cases 92% reasoning accuracy 60–70% reduction in time spent improving the database — around 6,000–7,000 hours saved a year These outcomes confirm the system’s ability to significantly reduce the manual effort previously needed to review each case. The next step will be to integrate the agent’s workflow, enhanced with GenAI, into Damm’s technology environment. The goal is for the system to operate securely and autonomously, improving the integrity and accuracy of hospitality establishment data within the company’s databases.
Case StudyOne of the key challenges that the bank faces in this regard is to track and measure energy consumption and carbon emissions associated with software and hardware usage. Executive Summary Intesa Sanpaolo (ISP) , as a responsible business entity, acknowledges the importance of adopting sustainable practices to minimize its environmental impact. One of the key challenges that the bank faces in this regard is to track and measure energy consumption and carbon emissions associated with software and hardware usage. To address this challenge, Intesa Sanpaolo requires a monitoring tool that can provide accurate data on its environmental impact and help identify opportunities for improvement. To tackle this need, NTT Data , as a leading IT services provider, has developed several assets framed in a conceptual framework based on 4 phases of intervention: Design, Development, Monitoring, Refactoring. Following this framework, ISP started with Development and Monitoring phases. In the context of development phase , ISP developed the Green Index, a measure of code sustainability that helps ensure our software products are more efficient and environmentally friendly. In the context of monitoring phase , thanks to NTT Data’s proprietary monitoring tool Intesa Sanpaolo is currently able to track and monitor its IT’s energy and carbon footprint. The primary purpose of this tool is to help the bank gain a comprehensive understanding of its environmental impact and identify areas where it can reduce its carbon footprint and optimize its software and hardware usage. The monitoring tool uses two main key performance indicators (KPIs): CO2eq for overall carbon emissions and SCI for emission rates, as recommended by the Green Software Foundation (GSF). By using these KPIs, the tool enables Intesa Sanpaolo to measure its carbon emissions and energy consumption accurately and identify opportunities for improvement . Using these solutions, Intesa Sanpaolo has gained valuable insights into its energy and carbon footprint, aligning the IT Department with the bank's commitment to sustainability and responsible business practices, demonstrating its dedication to environmental stewardship and promoting sustainable growth. Description of problem As one of the largest banking institutions in Italy, Intesa Sanpaolo operates a complex network of IT systems that support its business operations. These systems include servers, storage devices, and other hardware components. With the increasing focus on sustainability and the need to reduce carbon emissions, Intesa Sanpaolo recognized the importance of measuring and reducing the energy consumption and carbon emissions related to its IT systems. However, tracking these metrics across a large and complex IT infrastructure presented a significant challenge. Intesa Sanpaolo's IT system managers understood the need to address the impact of IT systems on the environment , and their search for solutions focused on finding ways to reduce this impact while still meeting business needs. With a clear recognition of the importance of complying with the business plan, which included specific ESG goals, they sought to align the function of IT with the overall business strategy , and to identify opportunities for IT to contribute to the achievement of ESG objectives . This required a comprehensive understanding of the impact of IT systems on the environment, and a commitment to finding ways to reduce this impact while still maintaining effective and efficient business operations. One of the challenges is to introduce a methodology for developing new software that is designed sustainably. Additionally, implementing a reliable and accurate monitoring tool to identify areas of high energy consumption and carbon emissions is essential to prioritize areas for improvement. This tool will serve as a compass for refactoring existing solutions in order to optimize energy efficiency and reduce the carbon footprint of Intesa Sanpaolo. How the use case solves the problem A more efficient IT is achieved through a recursive system that is based on four steps: Design, Develop, Measure and Refactor through improvement strategies, and implementing the improvement. The four steps are replicated, until the desired level of performance is achieved. With the final objective of introducing software sustainability in the development phase , ISP introduced the Green Index , a measure of code sustainability that helps ensure software products are environmentally friendly and efficient. This indicator is used to measure how sustainable ISP developers (as well as partners & suppliers) are in writing code. The score is based on static analysis of code , which is performed using SonarQube , a widely used code quality management tool that helps to continuously inspect code for bugs, vulnerabilities, and code smells. The rules used to calculate the Green Index are derived from the analysis of standards provided by the Consortium for Information and Software Quality ( CISQ ). The CISQ standards cover various aspects of software quality, such as security, maintainability, reliability, and efficiency, and are widely recognized and adopted in the software industry. By leveraging the power of SonarQube and the expertise of CISQ, software products can be not only functional and reliable but also environmentally friendly and efficient: in fact, with the Automated Source Code CISQ Performance Efficiency Measure ( ASCPEM™ ) specification we can establish a standard measure of performance efficiency by detecting violations of good architectural and coding practices that may result in inefficient operation , such as performance degradation or excessive use of processor resources. [1] NTT Data worked closely with Intesa Sanpaolo to develop a comprehensive solution for monitoring energy consumption and carbon emissions related to its IT systems . The first focus was to target the most impactful application in terms of sustainability metrics. However, the ultimate goal is to extend the solution to the entire IT infrastructure , which presents a significant challenge given the size and complexity of Intesa Sanpaolo's IT systems. To tackle this challenge, a step-by-step approach was used, which involves identifying and prioritizing the most critical areas for improvement, implementing targeted solutions, and continuously monitoring and optimizing performance. The two main KPIs that have been identified for the case of Intesa Sanpaolo are as follows: ● CO2eq : this metric measures the total amount of greenhouse gas emissions produced by the IT application and helps us understand the overall impact on the environment. This measure is relevant as it gives us a clear picture of the carbon footprint of IT. ● SCI : Software Carbon Intensity (SCI) measures the amount of carbon emissions produced per functional unit. This metric helps us monitor the efficiency of our software and identify areas for improvement. By reducing the SCI, we can make a significant impact on reducing our carbon footprint and promote sustainability. To track the CO2 emissions of an IT system, it is necessary to calculate the total amount of energy consumed by the server (E) and then multiply that figure by the amount of CO2 emitted to produce that energy (I) . The energy consumption of a server can be broken down into several major components, including the central processing unit (CPU), memory, and storage. NTT Data implemented a monitoring tool that measures the amount of CO2 emitted depending on resource use. The results of the monitoring tool were made available in an internal dashboard to provide real-time insights to the decision makers. The "Carbon Calculator" dashboard provides Intesa Sanpaolo with a comprehensive view of their IT’s carbon footprint and resource usage. Through the dashboard, users can easily access emissions data for different periods and filter the data by services, offices, application, and environments. The dashboard provides real-time values for the current SCI, for CO2eq emissions in kilograms, as well as a percentage breakdown of emissions by resource usage. Additionally, the dashboard highlights areas where resources are consuming and producing the most emissions, allowing for targeted optimization efforts. The tool offers the possibility to use different emission factors provided by CO2signal and WattTime according to the view and the scope of the calculations. An additional use case currently under development merge the experience of Green Index and Co2 and SCI calculator. After performing the static analysis to evaluate the codebase against the CISQ guidelines and assign the Green Index, the application is deployed. After this step, the team use the CO2e & SCI calculator to measure the carbon footprint and the SCI of the application in production. Main benefits of the solution Reduced carbon footprint : by tracking and measuring the energy consumption and carbon emissions of its IT systems, Intesa Sanpaolo can now actively identify areas and ways to reduce its IT carbon footprint. This is leading to a significant reduction in carbon emissions, helping the bank to achieve its environmental targets and contribute to a more sustainable future. However, this is only the start of a long-lasting process. Cost savings : by optimizing its software and hardware usage for greater sustainability, Intesa Sanpaolo can also achieve significant cost savings. This is because reducing energy consumption and carbon emissions often goes hand in hand with reducing overall resource consumption, such as electricity and cooling, which can lead to lower operational costs. Improved efficiency : the use of KPIs such as CO2eq and SCI enables Intesa Sanpaolo to monitor the efficiency of its software and hardware, letting it continuously identify areas for improvement, and implement changes to increase efficiency. This helps to reduce the bank's impact on the environment, but it also leads to improved overall efficiency and performance of its IT systems. Bank’s ESG Reputation : Intesa Sanpaolo is demonstrating its commitment to sustainability and responsible IT practices. increasing customer loyalty, stakeholder engagement, and a positive impact on the overall brand reputation. All of the actions mentioned are currently underway in Intesa Sanpaolo, as they are part of an ongoing process aimed at achieving sustainable goals across all aspects of the organization's IT. In the near future, these actions will be further intensified based on developments in the dashboard. What was the outcome, how were carbon emissions reduced The monitoring tool helped Intesa Sanpaolo to monitor and manage the carbon emissions associated with the IT services. By optimizing these services for energy efficiency, Intesa Sanpaolo was able to reduce its carbon emissions while maintaining a high level of service quality. In addition to reducing carbon emissions, Intesa Sanpaolo's collaboration with NTT Data also contributed to advancements in the issue of standard setting for software sustainability . By working closely with NTT Data, Intesa Sanpaolo was able to identify and adopt best practices for sustainable IT systems and share these practices with others in the industry . The implementation of the monitoring tool and the adoption of sustainable IT practices is helping Intesa Sanpaolo to achieve its environmental targets and reduce its carbon emissions by a significant margin. This not only contributed to the bank's commitment to sustainability and responsible business practices, but also resulted in cost savings and improved operational efficiency. Furthermore, Intesa Sanpaolo is continuing its process to achieve sustainability goals with NTT Data. Specifically, the bank aims to certify that the results of the NTT Data tool fully align with the GHG accounting standards in order to make these results available for its corporate sustainability report. This article is licenced under Creative Commons (CC BY 4.0)
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CDP A List 2024
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