TERADATA CORP DE

Overview. At Teradata Corporation ("we," "us," "Teradata," or the "Company"), we believe that people thrive when empowered with trusted information. We are focused on helping organizations improve business performance, enrich customer experiences, and integrate data across the enterprise. As such, we strive to innovate and deliver trusted solutions for their toughest data and analytics challenges. That is why we built our open and connected hybrid cloud analytics and data platform for AI. With our hybrid cloud platform, named Teradata Vantage, underpinned by our extensive patented workload management optimization technology, we are well positioned to help enterprises deliver business breakthroughs and solve business problems with our capabilities to provide harmonized data, trusted AI, and faster innovation, at scale. As companies embrace AI, they need data at scale. Data at scale is the foundation of agentic and generative AI applications, and data at scale is what Teradata provides.

We believe our platform provides companies with:

•Harmonized Data: We strive to empower our customers to make more confident decisions with integrated data using our hybrid platform that has the capability to support both cloud and on-premises environments and is designed to be efficient, flexible, and secure.

•Trusted AI: We believe that our platform provides our customers with powerful, open, and connected analytics – from ML and traditional analytics to enabling AI that is designed to provide actionable, differentiated insights and enhance enterprise value.

•Faster Innovation: Our platform is designed to fuel our customer’s growth opportunities with AI/ML innovation that’s cost-effectively operationalized at scale.

As a result, we believe that we empower our customers to make better, more confident decisions, engage in faster innovation, and drive positive impact within the enterprise.

Our Hybrid Cloud Analytics and Data Platform

Teradata Vantage is our open and connected platform that is designed to allow organizations to leverage all their data across an enterprise, in a hybrid environment. Whether in public or private clouds, in multi-cloud, or on-premises, and at scale, Teradata Vantage comprises deployment options that are designed to address the full span of data analytics and AI needs while providing optimized total cost of ownership and financial governance:

•Teradata VantageCloud: Our flexible, connected, and modern cloud platform and includes Teradata VantageCloud Lake, which is built on our cloud-native lake architecture, and Teradata VantageCloud Enterprise for managed enterprise workloads.

•Teradata VantageCore: Our on-premises platform offering, which seamlessly integrates with our cloud offerings to enable hybrid environments for which we see increasing demand.

Key capabilities of Teradata Vantage across all deployments are:

•ClearScape Analytics™: ClearScape Analytics encompasses the end-to-end analytics capabilities integrated into our platform and is designed to be a secure, highly concurrent, and resilient analytics offering. ClearScape Analytics provides robust in-database engine analytics functionality, open and connected integrations, and operationalization at scale for more effective data preparation, advanced analytics, and AI/ML performance.

•Query Grid™: Query Grid is our "data fabric," a data integration and management layer included with our hybrid platform. Query Grid serves as the connective tissue in multi-cloud, as well as between cloud and on-premises environments. This technology innovation is designed to bring data together and enable consistent data access across the ecosystem, so that users can query data regardless of where it lies, thereby reducing data silos, and potentially saving the expense of moving data. With our data fabric, we enable data analytics integration across public clouds for a multi-cloud experience. Our data fabric is designed to provide our customers with the analytic capabilities to deliver trusted data—data that is secure and well governed—while controlling costs.

Our Business Transformation

Across Teradata, we are executing to advance in our transformation as a leading hybrid cloud analytics and data platform. Teradata is recognized by industry analysts as offering a hybrid cloud analytics and data platform with next-generation, cloud-native deployment, and expansive analytics capabilities. Whether their first move into the cloud or moving from other vendors, we help companies smoothly migrate to the deployment that is right for their business, offering a fast path to cloud modernization with our extensive cloud migration capabilities. Additionally, we see that companies are increasingly operating in a hybrid environment with an architecture blending cloud and on-premises systems, and we believe that Teradata is well positioned to compete and win with our robust open and connected capabilities both in cloud and on-premises.

Our 2024 Innovations

Throughout 2024, we delivered a broad set of innovations that are intended to advance our differentiated position in enabling trusted AI, including:

•Open Table Formats ("OTF"): We announced our open and connected approach to supporting OTFs Apache Iceberg and Linux Foundation Delta Lake. Our open and connected approach is designed to allow enterprises to employ a modern data strategy with agility and flexibility to execute AI at scale, while taking advantage of our differentiated analytics.

•Teradata VantageCloud Lake: Our cloud-native platform became available on Google Cloud. This integration with Google Cloud, including Google Vertex and Gemini, is designed to offer customers a modern data platform that excels in multiple types of AI, from scaling predictive AI initiatives to powering new generative AI use cases. With this advancement, we added Google Cloud availability in addition to Amazon Web Services ("AWS") and Microsoft Azure.

•Bring-Your-Own Large Language Model ("BYO-LLM"): We have included BYO-LLM capabilities in our platform and ClearScape Analytics. With BYO-LLM our customers can take advantage of small and mid-size open LLMs by bringing the model to the data and minimizing expensive data movement, which helps to maximize the security, privacy, and trust of the data.

•ClearScape Analytics: We extended ouranalytics capabilities through API integration with Google Cloud’s AI development platform providing the capability to train and predict models against data. Together, the solutions provide the ability for customers to execute complex analytics and AI/ML on massive data sets and incorporate preferred data science tools. In addition, we further enhanced the capabilities of ClearScape Analytics by adding new features and functionality designed to boost data science productivity and streamline complex processes through various self-service and automated features. These new features and functionality include:

◦Spark to ClearScape Analytics, which enables data scientists to easily convert pyspark code to Teradata ML, eliminating the need for re-engineering or data movement, which can significantly reduce complexity and costs.

◦AutoML, designed to enable data scientists to automatically train high-quality models specific to their company’s business needs.

◦KNIME integration with Teradata VantageCloud, designed to accelerate AI initiatives and expand usage of ClearScape Analytics to non-technical individuals.

◦An enhanced self-service user experience, so that users can access their data and with no coding, thereby reducing the risk of coding errors or bad code.

•Teradata AI Unlimited: We announced that AI Unlimited, our on-demand compute engine is natively integrated with Microsoft Fabric. AI Unlimited in Microsoft Fabric leverages OTF in OneLake to create shortcuts to data across cloud object stores, enabling customers to take advantage of more than 150 ClearScape Analytics functions without the time or expense of moving data for each workload experience. It is available on AWS and Azure.

•Continued strengthening partnerships: We continued our commitment to developing and building strong partnerships. Notable announcements with partners include:

◦With Nvidia, we are integrating Nvidia NeMo and Nvidia NIM microservices into our platform to accelerate AI workloads and support the development of foundation and customized LLMs, agentic workflows, and Retrieval-Augmented Generation ("RAG") applications.

◦With AWS, we announced delivery of "rapid-start" generative AI use cases when leveraging our platform on AWS, integrated with Amazon Bedrock. Also, we announced that our platform will offer Nvidia’s accelerated computing infrastructure, starting with the BYO-LLM integration referenced above.

◦With Anaconda, we announced integration of Anaconda’s secure repository of Python and R packages with ClearScape Analytics designed to accelerate the use of data science and generative AI use cases and enable users to swiftly apply secure open-source packages, scale efficiently, and access harmonized data and trusted AI.

◦With dbt, we announced that the Teradata platform is now integrated with dbt Cloud. We bring our ability to manage complex large-scale datasets with enterprise-grade reliability, robust security and governance, and combine that with dbt’s transformation tools that are designed to turn raw data into actionable insights with less manual effort.

◦With DataRobot, we announced a new integration between ClearScape Analytics and the DataRobot AI Platform aimed at helping enterprises maximize their AI potential by providing greater optionality and flexibility for building and scaling safe and effective AI models. This new functionality is available through ClearScape Analytics’ Bring Your Own Model ("BYOM") capability.

◦With third-party productivity tools, Airbyte Cloud, Apache Airflow, and dbt, we introduced integrations that support the modern data stack, so that developers can innovate faster by speeding the deployment and operationalization of AI/ML at enterprise scale.

These announcements highlight our commitment to a fully open and connected approach that allows enterprises to employ modern data strategies to enable and execute trusted AI at scale.

Market Dynamics with AI Focus

Our target market focuses on organizations that are large-scale users of data. As data volumes grow exponentially along with increasing sources of data, we are seeing organizations increasingly adopt hybrid, multi-cloud, and on-premises data analytics and AI/ML technologies. We believe it is essential for enterprises to be able to integrate ecosystems across multi-cloud and on-premises environments, simplify access to trusted data wherever it resides, and accommodate analytics at massive scale and speed to derive significant business value. Teradata addresses the full spectrum of analytics needs and varying cloud adoption strategies—from cloud-only to multi-cloud to hybrid and on-premises.

As companies around the world are exploring and implementing AI applications, including agentic and generative AI, we believe that we can help enterprises accelerate AI value, including by:

•Managing uncontrolled data growth: AI requires extensive volumes of high-quality data. We deliver AI capabilities for our customers by providing a platform that is designed to integrate and harmonize data across the organization and analytics capabilities that excel at scale.

•Building a flexible, open, and connected ecosystem: We design ourarchitecture to provide a flexible, open, and connected ecosystem to allow companies freedom to use their preferred tools and technologies with public or custom LLMs to produce AI.

•Providing a secure, trusted, and cost-effective environment: Our hybrid analytics and data platform is designed to deliver a secure environment, while controlling costs.

Our customers use Teradata technologies and innovations to solve their business challenges and drive business outcomes. We provide guidance to customers on uses of Teradata analytics tailored to their needs and offer differentiated packaged use case solutions that can accelerate growth. Business use cases leverage the latest in Teradata AI/ML capabilities and can include, among other things:

•augmented customer complaint analysis,

•customer acquisition, experience and retention,

•personalized product and action recommendations,

•automated speech analysis,

•financial visibility,

•resilient supply chains,

•fraud prevention, and

•regulatory compliance and risk management.

Our Consulting Services and Third-Party Relationships

Our experienced consultants offer a broad range of services, including helping organizations establish a data analytics and AI/ML vision, enabling a modern, hybrid ecosystem architecture, and identifying and operationalizing opportunities. Our support and maintenance services are designed to provide an optimal experience with Teradata and our managed services offerings are designed to provide an enhanced experience to our customers by helping their analytic environments operate efficiently. We also work closely with top global and regional systems integrators to accelerate innovation, enable digital transformation and maximize customer value from their Teradata technologies.

Our Subscription Options

Teradata offers subscription offerings that are flexibly priced, ranging from capacity-based to consumption-based pricing. These flexible pricing options are designed to enable our customers to reduce complexity, risk, and cost and expand their data analytics and AI/ML capabilities to fit their data and budget needs.

Our Segments

For the calendar year ended December 31, 2024, we had total revenues of$1.750 billion. On August 5, 2024, we announced the realignment of our sales function to optimize operations. Due to this organizational change we now manage our business under two segments, which are also our new operating segments: (1) Product Sales and (2) Consulting Services. For financial information about our segments and geographic information, see "Note 14-Segment, Other Supplemental Information and Concentrations" in the Notes to Consolidated Financial Statements in this Annual Report.

History. Teradata was incorporated in 1979 as a Delaware corporation. Teradata became a publicly traded company named Teradata Corporation (NYSE: TDC) on September 30, 2007.

Industry and Market Opportunity. As companies face mounting data demands, along with the need to extract value from this data, we believe that our opportunity to grow in the multi-billion dollar data management and analytics market will continue. Industry analysts forecast that the data management and analytics market will grow at a double-digit rate year-over-year for the next few years, and it is expected that the market opportunity will continue to expand with the anticipated rapid and global adoption and enablement of AI/ML. We believe that, in addition to companies facing significant ongoing increases in data volumes and proliferation of data sources, there will also be an increasing expectation that this data be trusted, secured, and democratized. Furthermore, the agility provided by cloud-based technologies can bring significant benefits, yet also creates complexity, particularly with the increased need that data and analytics ecosystems span multiple environments. These factors all contribute to the increased complexity, cost, and risk associated with managing data analytics and AI/ML environments, as well as the rapidly emerging desire of customers to create and deliver value from agentic and generative AI. This is particularly true for our target market of global enterprise companies, and we believe that these companies require well-integrated solutions that can accommodate significant agility, scale, and speed in an open and connected ecosystem. We are focused on supporting our customers, whether they are cloud-only, multi-cloud, on-premises, or a hybrid combination. We are helping new and existing customers migrate to the cloud, expand workloads in the cloud, connect their hybrid environments, and capture the possibilities provided by enabling AI. We are also focused on growing the adoption of our hybrid platform, enabling AI on-premises by brining additional data and AI/ML capabilities to our on-premises offering, increasing software utilization, expanding partnerships with leading companies, and demonstrating our extensive AI capabilities.

Our Strategy. We have a sharp strategic focus on being the hybrid cloud analytics and data platform for trusted AI at scale. We deliver on this strategy through leveraging our talented teams who are committed to our culture and executing the following strategic imperatives:

•enabling faster innovation, better customer experiences, and improved productivity via the Teradata platform and ClearScape Analytics capabilities to enable AI/ML;

•enhancing our ClearScape Analytics roadmap with incremental AI capabilities;

•enabling AI on-premises by bringing additional data and AI/ML capabilities to our on-premises offerings;

•broadening our platform to support OTF;

•providing well-defined use cases that demonstrate the value of our products to solve real-world business challenges;

•expand customer footprints by increasing consumption and onboarding new workloads in existing and new business buying centers;

•deepening relationships with strategic public cloud service providers, systems integrators, independent software vendors, distributors, and resellers;

•expanding our go-to-market reach by onboarding new customers, making vertical investments, enhancing customer success programs, extending our partner relationships; and

•deliver operational excellence through efficient cost management and execution.

AI requires significant high-quality data to create value; as such, integrating and harmonizing data across the organization is crucial. Our hybrid cloud platform is designed to be scalable, secure, highly concurrent, and resilient to help companies solve complex data challenges at scale. We provide a data management solution that enables enterprises to support their data analytics and AI/ML ecosystems, enable consistent data across business units, and grow at scale. Furthermore, we provide enterprise customers with the flexibility to address their data analytics and AI/ML needs, empowering operational, ad-hoc analytics, and mixed workloads, whether in the cloud, on-premises, or in a hybrid combination.

We believe we are differentiated by providing our hybrid cloud analytics and data platform offering across an open and connected ecosystem. Our differentiated approach spans deployments in the top public cloud service provider platforms of AWS, Microsoft Azure, and Google Cloud, as well as private cloud platform instances, on-premises, and hybrid environments.

As customers increasingly grow their data analytics ecosystems, we support customers with a data fabric in QueryGrid that connects all environments, as well as data and workload migration tools and services. We also believe that we offer a competitive and compelling total cost of ownership by building out best-in-class capabilities that are designed to provide an easy experience for ingestion, exploration, development, consumption, and operationalization of data analytics and AI/ML.

Our strategy is further supported by our commitment to be a responsible corporate citizen. We believe it is our responsibility to make a positive impact on and support important issues, such as addressing the responsible use of AI, environmental sustainability, promoting belonging and inclusion, supporting communities where we live and work, protecting data privacy, and acting ethically in everything we do.

Customers. Teradata concentrates our marketing and go-to-market efforts on companies that are seeking to improve business performance and view data analytics and AI/ML as strategic to achieving that objective. We focus on the key buying centers of business leaders, analytics buyers and users, as well as technology buyers and users. Our platform differentiates Teradata in industries with high-data requirements, including Financial Services, Government, Healthcare and Life Sciences, Public Sector, Manufacturing, Retail, Telecommunications, and Travel/Transportation. We believe that these industries provide a good fit for our analytic solutions and services as these industries typically have the greatest analytic potential with large and growing data volumes, complex data management requirements, as well as large and varied types of users. We currently do not have any customer that represents 10% or more of our total revenue.

Seasonality. Historically, our new contract bookings and renewals are seasonal, in line with customer spending patterns, with lower volume typically in the first quarter and higher volume generally in the fourth quarter of each calendar year. Such seasonality causes our working capital cash flow requirements to vary from quarter to quarter depending on the variability in the volume, timing of invoices and subsequent collection, and mix of platform sales.

In addition, contract bookings in the third month of each quarter have historically been significantly higher than in the first and second months, with the majority occurring in the last quarter of our fiscal year. In addition, the size and complexity of our sales transactions have resulted in, and we expect will continue to result in, lengthy sales cycles with multiple levels of customer approvals which can also lead to less predictability of the timing of quarterly transactions. These factors, among others as more fully described in Item 1A, Risk Factors, in this Annual Report, make forecasting more difficult and may adversely affect our ability to accurately predict financial results.

The majority of our customers pay for their Teradata offerings via subscription-based purchasing options. As a result, a substantial portion of our revenue from sales is recurring, which generally increases the predictability of our revenue and the durability of our future cash flows. The majority of our customer contracts are based on a blended pricing model which provides a fixed capacity and also offers the customer optional consumption for times when they experience increased activity.

Sales, Marketing, Customer Services and Partners

Sales and Marketing. We primarily sell and market our solutions and services through a direct sales force. We have more than 80% of our employees in customer-facing and/or revenue-driving roles (including sales, marketing, consulting, customer services, and product engineering).

We support our sales efforts with marketing designed to:

•grow awareness of Teradata as a leading hybrid cloud analytics and data platform for trusted AI , highlighting our technology leadership and innovation, hybrid cloud differentiation, analytics and AI expertise;

•lead customers on their migration to the cloud with the benefits of an open and connected ecosystem with hybrid and multi-cloud capabilities, and then help them easily expand their environment when needed; and

•create demand for, and adoption and expanded use of, our technologies, including Teradata VantageCloud, ClearScape Analytics, and Teradata AI Unlimited, as well as related services.

We additionally provide extensive training to educate and enable our sales force with the skills and knowledge to compete and win with our value proposition.

Our brand messaging is intended to highlight Teradata’s role as a leader in data analytics, AI, and hybrid cloud technology, as well as our strength as a leading open and connected hybrid cloud analytics and data platform for trusted AI. To support our growth objectives, we employ a broad range of modern marketing strategies, including programs designed to inform, educate, and generate demand with customers and prospects. These strategies include our global website, digital marketing, paid media, demos and trials of our software, webinars, events, public relations, social media, a customer advocacy program, and targeted demand generation.

Customer Services. Our global customer services organization is dedicated to creating and sustaining an optimal customer experience and working with our customers to help them achieve the best outcomes from the data that is managed in our platform so they are empowered with the full potential of Teradata’s data analytics solutions. Our global customer services organization is comprised of cloud operations, customer support, customer experience, consulting and managed services, and customer education. Our customer services organization supports our cloud strategy by facilitating a customer’s migration to the VantageCloud platform and managing the day-to-day operations of a customer’s VantageCloud environment. This organization focuses on delivering business value throughout the customer journey, enabling innovative use of the Vantage platform, extracting additional efficiencies, and maximizing customer impact and satisfaction—which are designed to retain customers and drive greater consumption of our technology.

Strategic Partnerships. We seek to extend our sales and marketing reach by partnering with cloud service providers, alliance partners (including independent software vendors, open-source software distributors, and resellers), leading global and regional systems integrators, and consultants, that we believe complement our differentiated offerings. Strategic partnerships are a key element in our ability to leverage the value and expand the scope of our data and analytics platform offering in the marketplace.

•Cloud Service Providers: We have established partnerships with the top three global public cloud service providers: AWS, Microsoft Azure, and Google Cloud. We work to continuously strengthen these strategic partnerships so that companies around the world can easily have access to the Teradata platform and our data analytics capabilities via the manner they prefer.

•Alliance Partners: We have a focus on working collaboratively with independent software vendors in several areas, including AI/ML and LLMs, tools, data and application integration solutions, data mining, analytics, business intelligence, and specific analytic and industry solutions. Our goal is to provide choices to our customers with partner offerings that are optimized and certified to work with the Teradata Vantage platform to deliver end-to-end analytic and data solutions and to provide comprehensive capabilities that support the customer’s business goals and work within their analytic ecosystem.

•Systems Integrators and Consultants: We work with a range of systems integrators and consultants who engage in the design, implementation, and integration of analytic solutions for our joint customers. Our strategic partnerships with select global and regional consulting and systems integration firms provide broad industry and technology expertise in the design of business solutions that leverage Teradata technologies to enable enterprise analytics.

Competition. We compete in a large and growing data management and analytics market that is attractive to both current and new competitors. There is a large number of vendors in the analytics and data market and the market landscape of vendors is rapidly increasing with the introduction and increasing traction of cloud and AI. Participants include AWS, Databricks, Google Cloud, Microsoft Azure, Snowflake, and more; the competitive market also comprises traditional legacy competitors. We believe our focus on AI, hybrid and multi-cloud ecosystem simplification, providing solutions for the most scalable and complex workloads, and providing products designed to achieve desired business outcomes of our customers, enables us to successfully compete within our target market. We believe that our technology innovations are highly differentiated, deliver scale and integration, and are positioned to provide business value to our customers. Furthermore, we provide our customers with the opportunity to de-risk their buying decisions with our hybrid capabilities and helping them deploy across the top public clouds, private cloud and on-premises, coupled with flexibility in purchasing and portable licensing. For more information on competition, see Item 1A. Risk Factors, in this Annual Report.

We believe that the principal competitive factors for our products and services include: data analytics and AI/ML experience; business outcome delivery; hybrid multi-cloud offerings and experience; total cost of ownership; customer references; technology leadership; product quality; performance, scalability, availability, integrity, security, and manageability; partner relationships; support and consulting services capabilities; management of technologies in a complex analytical ecosystem; delivery of a platform and tools that are designed to enable AI/ML for our customers; and industry knowledge.

Research and Development ("R&D"). We remain focused on designing and developing our hybrid cloud analytics and data platform that anticipates our customers' evolving needs and supports solving their complex business challenges. Our teams are extending Teradata technologies and innovations for the Teradata platform, including ClearScape Analytics and Teradata AI Unlimited to have consistent and differentiated capabilities that meet the demands of todays’ hybrid ecosystems. With extensive in-database functionality, seamless and expedited interconnectivity, and robust features for easy operationalization, ClearScape Analytics is designed to enable companies to scale AI/ML quicker and more cost effectively.

With a focus on creating an open and connected platform, we continue to build a deep integration with cloud data and analytic ecosystems, including advanced analytics and AI/ML tools. Furthermore, with our strong partnerships, our R&D team is extending our platform to enable deeper integration with a broader range of solution and service providers.

Our extensive and talented R&D workforce is one of our core strengths. Our R&D team is globally dispersed to take advantage of global engineering talent. We anticipate that we will continue to have significant R&D expenditures, which may include complementary strategic acquisitions, to help support the flow of innovative, high-quality data and analytic offerings.

Intellectual Property and Technology. We own 565 patents in the United States. We are also theexclusive licensee offour additional patents in the United States and counterpart patents in foreign countries. Many of the patents that we own are licensed to others, and we are licensed to use certain patents owned by others. While our portfolio of patents and patent applications in aggregate is of significant value to our Company, we do not believe that any individual patent is by itself of material importance to our business.

In addition, we own copyrights and trade secrets in our code base that comprises all of the Teradata software offerings, including analytic data platforms and analytic applications and capabilities. Teradata’s software offerings reflect the investment of hundreds of person-years of development work.

The source code versions of our offerings are protected as trade secrets and, in all major markets, as unpublished copyright works. We take great efforts to protect our rights in all software offerings and related intellectual property; however, there can be no assurance that these measures will be successful. The Company owns the Teradata® word and logo trademarks, which are registered in the United States and in many foreign countries, as well as other trade names, service marks, and trademarks.

Sources of Materials. Our hardware components are assembled and configured by Flex Ltd. ("Flex"). Our platform line is designed to leverage the components from manufacturers that we believe are industry leaders. Our data storage devices and memory components utilize industry-standard technologies but are selected and configured to work optimally with our software and hardware platform. Flex also procures a wide variety of components used in the assembly process on our behalf. Although many of these components are available from multiple sources, Teradata utilizes preferred supplier relationships to better ensure more consistent quality, cost and delivery. Typically, these preferred suppliers maintain alternative processes and/or facilities to ensure business continuity of supply. Given our strategy to outsource product assembly activities to Flex and to source certain components from single suppliers, a disruption in production at Flex or at a supplier, a global shortage of components, commodity, transportation, and/or inflationary pressures could impact the timing or profitability of customer shipments. In addition, a significant change in the forecasts to any of these preferred suppliers could result in purchase obligations for components that may be in excess of demand. Although we have not experienced issues from inflationary challenges or otherwise, the current inflation environment could present potential supply chain uncertainty, and we have implemented programs to mitigate these potential risks. For more information, see Item 1A, Risk Factors in this Annual Report.

Human Capital

Teradata operates with a fully flexible work environment, empowering employees to make decisions about where and how they can be most productive. Our global workforce is located in approxim ately 40 count ries, and our corporate headquarters are in San Diego, California.

Teradata’s people objectives are to attract, retain, develop, and nurture the most innovative, curious, and skilled talent available. Along with our fully flexible work environment, we offer competitive pay and comprehensive health and wellness benefits and programs designed to help our people thrive.

As of December 31, 2024, we had approximately 5,700 employees globally, with approximately 30% employed in the United States and 70% across the rest of the world. Our global workforce is critical to our overall business strategy across target markets. During fiscal 2024, our overall headcount decreasedas we continue to align and optimize our talent needs to drive our cloud and profitable growth strategies.

Culture and Engagement. At Teradata, we believe people thrive when empowered with trusted information. We have designed our culture to be the guiding force behind our ability to deliver on that purpose. We empower our people to live our core principles: customer and market driven, agility in execution, and accountability to each other. We strive to create a workplace that is free from discrimination where everyone feels they belong. We cultivate a trusted environment where every individual feels not only valued, but truly empowered to thrive.

Health, Safety, and Wellness. We are committed to the health, safety, and wellness of our employees and their families. We provide flexible and inclusive programs that cater to diverse needs of well-being. This includes quarterly well-being days, global paid holidays for all employees, as well as half-day Fridays, providing employees extra paid time off each week during 3 months of the year.

Compensation and Benefits. Our compensation and benefits reflect our commitment to fairness and inclusion. We have robust compensation and benefit programs designed to attract and retain talent and meet the varied and evolving needs of a global workforce. In addition to our competitive base pay, these programs, which vary by country/region, include sales incentives, annual bonuses, stock awards, an Employee Stock Purchase Plan, a Retirement Savings Plans, healthcare and insurance benefits, and paid time off. One specific example of our inclusive benefits includes parental leave, offering birthing and non-birthing parents up to 14 weeks of paid leave for bonding with a new child arriving through birth, adoption, placement, or foster care.

Talent Development. Teradata is committed to supporting the professional development of our employees by providing resources and pathways for growth. Over the last several years, we have evolved our talent practices to facilitate frequent conversations between managers and employees on performance and development. We have launched on-demand learning resources, such as LinkedIn Learning and Country Navigator, which give employees flexibility in when and how they learn. We also provide facilitated learning opportunities to help build specific capabilities and skills, such as Basics of Communication, Emotional Intelligence, Influence, and Time Management. We offer executive and leadership development programs designed to enable our leaders to role model our leadership principles and empower individuals to lead at every level.

Community Engagement. We believe building connections between our employees, their families, and our communities creates a more meaningful, fulfilling, and enjoyable workplace. We support local STEM education programs to ensure emerging leaders in our communities have opportunities to explore their interests. Our Teradata Cares program empowers our employees to make a positive difference where we live and work through volunteerism and giving. We support our employees’ giving and volunteer efforts by providing matching donations for employee contributions to qualified not-for-profit agencies, project grants, Annual Days of Caring, and supporting communities where we have employee populations. To further enable employees to support the charity of their choice, we provide every employee four days a year, during normal working hours, for volunteer efforts of their choice.

Properties and Facilities. Our corporate headquarters is located in San Diego, California. As of December 31, 2024, we operated 41 facilities in 29 countries throughout the world. We own our San Diego complex, while all other facilities are leased.

Information About Our Executive Officers. The following table and biographies sets forth information as of February 21, 2025 regarding the individuals who are serving as our executive officers.

Stephen McMillan. Stephen McMillan is the Company’s President and Chief Executive Officer and has served in this role since joining the Company in June 2020. Mr. McMillan has served on the Company’s Board of Directors since June 2020. Previously, he served as the Executive Vice President of Global Services for F5 Networks, Inc., a transnational company that specializes in application services and application delivery networking, from October 2017 when he joined F5 until May 2020. Prior to joining F5, from September 2015 until October 2017, he was Senior Vice President, Customer Success and Managed Cloud Services at Oracle Corporation, a global software and services company, where he was responsible for developing, overseeing, and expanding a customer success organization focused on the company’s strategic SaaS portfolio. From May 2012 to September 2015, he served as Senior Vice President, Managed Cloud Services at Oracle.

Claire Bramley. Claire Bramley is the Company's Chief Financial Officer and has served in this role since joining Teradata in June 2021. She served as the Global Controller for HP Inc., a multinational information technology company, from December 2018 until June 2021. From June 2015 until December 2018, she served as HP's Regional Head for Finance for EMEA, and from January 2013 to May 2015, she served as Vice President, Corporate Financial Planning and Analysis at HP. Ms. Bramley also serves on the Board of Directors of Ansys, Inc. On February 11, 2025, we announced that Ms. Bramley decided to resign from her position as Chief Financial Officer of the Company (including as its principal financial officer and principal accounting officer) and that her last day with the Company will be March 31, 2025.

Kathleen Cullen-Cote. Kathleen Cullen-Cote is the Company’s Chief People Officer and has served in this role since joining Teradata in July 2019. Prior to joining Teradata, Ms. Cullen-Cote served in human resource leadership roles at PTC Inc., a global computer software and services company, from 2002 to June 2019, including Executive Vice President and Chief Human Resources Officer from April 2019 to July 2019; Corporate Vice President, Human Resources from 2012 until March 2019; Senior Vice President, Human Resources, from December 2010 to 2012; and Vice President, Human Resources, from October 2009 until December 2010.

Michael Hutchinson. Michael Hutchinson is the Company's Chief Customer Officer and has served in this role since January 2022. Previously, from June 2021 when he joined the Company until December 2022, he served as Senior Vice President World-Wide Customer Success, Consulting and Renewals. Prior to joining Teradata, Mr. Hutchinson served as the Senior Vice President and Chief Customer Officer at Verint Systems Inc., a customer engagement solutions provider, from August 2020 to May 2021 and as its Senior Vice President, Global Professional Services and Support from April 2018 until August 2020. From 1990-2018, he held several positions with Oracle Corporation, a global software and services company, most recently as the Group Vice President, North America Customer Success from December 2015 to March 2018.

Richard Petley. Richard Petley is the Company’s Chief Revenue Officer and has served in this role since April 2024. Previously, Mr. Petley served as Teradata’s Executive Vice President, Global Sales, from April 2022, when he joined the Company, until April 2024. He served as General Manager, Western Europe, for Oracle Cloud, at Oracle Corporation, a global software and services company, from 2021 until April 2022. From 2018 until 2021, he was the Managing Director, Oracle UK. Prior to Oracle, Mr. Petley held sales leadership positions at IBM Corporation, a global technology company, with consistent success in growth areas of enterprise software, SaaS and AI, most recently serving as Vice President, IBM Cognitive and Industry Solutions, IBM UK and Ireland from 2017 until 2018.

Margaret Treese. Margaret Treese is the Company’s Chief Legal Officer and has served in this role since November 2020. Previously, from 2018 until January 2020, she served as Teradata’s Deputy General Counsel and Secretary. From 2007 until 2018, she served as the Chief Corporate and Governance Counsel and Assistant Secretary and was named Corporate Secretary of Teradata in 2018.

Jacqueline Woods. Jacqueline Woods is the Company's Chief Marketing Officer and has served in this role since joining Teradata in December 2021. Previously, she served as the Global Chief Marketing and Communications Officer for NeilsenIQ, a consumer intelligence company, from 2019 until November 2021. Prior to that, Ms. Woods was with IBM Corporation, a global technology company, serving as the company's Chief Marketing Officer of IBM Global Partner Ecosystem Division from 2017 until 2019 and, Chief Marketing Officer of IBM Global Financing from 2015 until 2017. Ms. Woods also serves on the Board of Directors of Winnebago Industries, Inc.

There are no family relationships between any of the executive officers or directors of Teradata.

There are no contractual obligations regarding the election of our executive officers or directors.

Information. Teradata makes available through its website, free of charge, its Annual Report on Form 10-K, Quarterly Reports on Form 10-Q, and Current Reports on Form 8-K, and all amendments to such reports, as soon as reasonably practicable after these reports are electronically filed or furnished to the U.S. Securities and Exchange Commission ("SEC") pursuant to Section 13(a) or 15(d) of the Securities Exchange Act of 1934 (the "Exchange Act"). These reports and other information are available, free of charge, atwww.sec.gov. Teradata will furnish, without charge to a security holder upon written request, the Notice of Meeting and Proxy Statement for the 2025 Annual Meeting of Stockholders. Teradata will furnish the Code of Conduct and any other exhibit at cost (the Code of Conduct is also available through Teradata’s website at https://www.teradata.com/about-us/corporate-governance/code-of-conduct/). Document requests are available by calling or writing to:

Teradata - Investor Relations

17095 Via Del Campo

San Diego, CA 92127

Phone: 858-485-2088

Website: www.teradata.com