List of Teradata Data Warehouse Appliance Customers
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Since 2010, our global team of researchers has been studying Teradata Data Warehouse Appliance customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Teradata Data Warehouse Appliance for Data Warehouse Appliance from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Teradata Data Warehouse Appliance for Data Warehouse Appliance include: T-Mobile US, a United States based Communications organisation with 75000 employees and revenues of $79.57 billion, Charter Communications, a United States based Communications organisation with 94500 employees and revenues of $55.09 billion, Aptiv, a Switzerland based Automotive organisation with 141000 employees and revenues of $19.71 billion, Banco Bradesco, a Brazil based Banking and Financial Services organisation with 81657 employees and revenues of $19.19 billion, Advance Auto Parts, a United States based Retail organisation with 40000 employees and revenues of $11.29 billion and many others.
Contact us if you need a completed and verified list of companies using Teradata Data Warehouse Appliance, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the Analytics and BI software purchases.
The Teradata Data Warehouse Appliance customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of Analytics and BI software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Advance Auto Parts | Retail | 40000 | $11.3B | United States | Teradata | Teradata Data Warehouse Appliance | Data Warehouse Appliance | 2015 | n/a | Advance Auto Parts implemented Teradata Data Warehouse Appliance in 2015, selecting the Teradata Data Warehouse Appliance to underpin enterprise analytics across the retailer. The implementation positions the application as the central Data Warehouse Appliance for consolidated analytical workloads and enterprise reporting. Deployment focused on a purpose built data warehouse architecture, leveraging the appliance model for scalable storage, parallel query processing, and workload management. The Teradata Data Warehouse Appliance was configured to support ETL and ELT pipelines, ad hoc SQL analytics, and BI reporting, with emphasis on data modeling, query optimization, and compression to manage high volume retail transactional data. Operational coverage targeted enterprise analytics spanning merchandising analytics, supply chain and inventory insight, store operations reporting, and corporate analytics functions. Integrations were structured around standard data ingestion and business intelligence layers, enabling consolidated feeds from transactional sources and downstream consumption by analytics and reporting tools. Governance and rollout centered on centralizing data access and controlling analytical workflows, including role based access controls, schema governance, and phased production cutover to validate queries and performance. The choice of Teradata Data Warehouse Appliance reflects a move to an appliance based architecture to support enterprise class analytics needs without detailing prior systems or implementation partners. | |
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Aptiv | Automotive | 141000 | $19.7B | Switzerland | Teradata | Teradata Data Warehouse Appliance | Data Warehouse Appliance | 2020 | n/a | In 2020, Aptiv implemented the Teradata Data Warehouse Appliance as a centralized analytical store to support enterprise procurement and finance analytics. Aptiv, a global automotive technology company with 141000 employees, positioned the Teradata Data Warehouse Appliance within its Data Warehouse Appliance layer to consolidate transactional feeds for spend, supplier, and contract analytics across Indirect and Direct organizations. The implementation focused on spend analytics data sets and interactive dashboards for the Indirect Procurement organization, while also hosting initial data prototypes for the Direct organization under project Quantum. Functional capabilities implemented included ETL staging, curated enterprise data marts for supplier and category performance, a semantic layer consumed by SAP BusinessObjects, and self service extracts and data preparation workflows for Tableau and Alteryx. Integrations explicitly included enterprise resource planning platforms SAP and QAD, SAP BusinessObjects as a BI consumption layer, and the newly introduced Tableau and Alteryx platforms for visual analytics and data transformation. Operational coverage targeted procurement process centres including the Krakow procurement centres, procurement category managers, supplier performance teams, and finance analysts performing contract payment term analysis. Aptiv defined a Business Intelligence, Data Governance and Analytics Roadmap that blended the Teradata Data Warehouse Appliance with existing ERP and BI tooling, and redefined reporting processes and analytics methodologies for the Krakow centers. Governance activities centered on curated data ownership, development standards, rollout sequencing for data marts, and upskilling the analytics community through an internal program called Make Over Monday to standardize analytics design and practices. The deployment delivered interactive spend dashboards and the introduction of Tableau and Alteryx into Aptivs analytics portfolio, and it supported deep dive analysis of contract payment terms which strengthened segment cash flow position as reported by the analytics manager. The Teradata Data Warehouse Appliance served as the authoritative store for these analytics workloads and was operated alongside managed engagements with third party development teams for offshore and nearshore delivery. | |
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Ascena Retail Group | Retail | 35000 | $3.7B | United States | Teradata | Teradata Data Warehouse Appliance | Data Warehouse Appliance | 2020 | n/a | In 2020, Ascena Retail Group implemented Teradata Data Warehouse Appliance, replacing an IBM Netezza Appliance to centralize analytics storage and reporting within its Business Intelligence environment. The Teradata Data Warehouse Appliance was positioned as the primary Data Warehouse Appliance supporting BI workflows and high performance query processing across apparel brands operated by Ascena. The implementation emphasized high performance analytics and extract development, with Teradata Data Warehouse Appliance configured to support rapid delivery of data extracts and standardized KPI reporting. Functional capabilities implemented included centralized data ingestion and staging for BI, extract pipelines to downstream analytics consumers, and templated KPI reporting covering conversion funnel, spend analytics, heat mapping, shopping patterns, merchandising performance, and channel performance. Operational scope focused on the internal Business Intelligence organization and cross functional business partners in merchandising, eCommerce, and marketing, with three Ascena brands migrated onto the Teradata platform during rollout. The team executed an eight month conversion timeline, delivering support changes and extracts during the Covid-19 period to enable rapid analytics consumption and ensure continuity of reporting. Governance and process changes included audits of analytics implementation and reporting to validate accuracy, and standardization of KPI definitions and performance assessment cadence. Documented outcomes from the program include minimal business disruption during the eight month migration, improved performance reported by BI stakeholders, $600K in database cost savings attributed to the platform change, annual consultant reduction savings of $400K, and elimination of redundant systems that reduced costs by $30K per month. | |
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Banking and Financial Services | 81657 | $19.2B | Brazil | Teradata | Teradata Data Warehouse Appliance | Data Warehouse Appliance | 2013 | n/a |
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Communications | 94500 | $55.1B | United States | Teradata | Teradata Data Warehouse Appliance | Data Warehouse Appliance | 2011 | n/a |
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Retail | 5000 | $850M | Australia | Teradata | Teradata Data Warehouse Appliance | Data Warehouse Appliance | 2015 | n/a |
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Banking and Financial Services | 20900 | $4.0B | France | Teradata | Teradata Data Warehouse Appliance | Data Warehouse Appliance | 2015 | n/a |
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Retail | 19700 | $5.6B | United States | Teradata | Teradata Data Warehouse Appliance | Data Warehouse Appliance | 2008 | n/a |
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Communications | 75000 | $79.6B | United States | Teradata | Teradata Data Warehouse Appliance | Data Warehouse Appliance | 2022 | n/a |
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Transportation | 3215 | $714M | United Kingdom | Teradata | Teradata Data Warehouse Appliance | Data Warehouse Appliance | 2015 | n/a |
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Buyer Intent: Companies Evaluating Teradata Data Warehouse Appliance
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