AI Buyer Insights:

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

List of Teradata Data Warehouse Appliance Customers

loading spinner icon



Apply Filters For Customers

Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
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.
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.
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.
Banco Bradesco Banking and Financial Services 81657 $19.2B Brazil Teradata Teradata Data Warehouse Appliance Data Warehouse Appliance 2013 n/a
In 2013, Banco Bradesco implemented the Teradata Data Warehouse Appliance to centralize enterprise analytics and support campaign activation across the bank. The Teradata Data Warehouse Appliance served as the institution's primary Data Warehouse Appliance for high volume SQL processing and consolidated data staging used by downstream analytics and marketing systems. The deployment leveraged characteristic MPP appliance architecture to host large-scale relational data models, ETL and data staging layers, and a SQL-centric analytics layer. Implementation patterns included heavy SQL development, ETL orchestration for batch and near real time feeds, and the use of Teradata BI tooling alongside SAS for advanced analytics workloads. Integrations explicitly included SAS and Teradata BI tools as the principal analytics stacks, with Excel used as an analyst and business user front end, and extensive SQL and ETL processes to operationalize data for the bank's multi channel campaigns. The appliance was positioned as the activation layer that fed campaign decisioning, segmentation, and reporting workflows used by marketing, campaign operations, and analytics teams. Governance and runbook activity centered on ETL scheduling, centralized data models, and SQL development standards to ensure consistent campaign data preparation and BI consumption. Operational ownership rested with centralized analytics and data engineering functions who managed data ingestion, transformation, and the publication of BI datasets for campaign activation.
Charter Communications Communications 94500 $55.1B United States Teradata Teradata Data Warehouse Appliance Data Warehouse Appliance 2011 n/a
In 2011 Charter Communications implemented the Teradata Data Warehouse Appliance for engineering, marketing, and business intelligence workloads. The Teradata Data Warehouse Appliance, classified as a Data Warehouse Appliance, was chosen following tests that simulated anticipated Charter work scenarios against alternative data appliance competitors and to provide a consolidated analytics platform for operational and BI applications. The deployment was appliance based to optimize complex query concurrency and tactical query response times, with configuration focused on improving response time for existing workloads and enabling a new level of reporting and analytic capability. Teradata Viewpoint was implemented as the performance monitoring suite, providing web based applications that can be customized by job function and the out of the box Rewind feature to let database administrators find, investigate, and fix issues on the fly. Integrations were explicit and limited to two named Charter software vendors of choice, Informatica for data integration pipelines and MicroStrategy for integrated reporting, analysis, and monitoring. The appliance was positioned to connect and integrate with both operational systems and business intelligence applications, supporting departmental analytics in engineering, marketing, and centralized BI teams. Governance and operational processes emphasized role based monitoring and rapid issue remediation, with DBAs and operations teams using Teradata Viewpoint workflows to quickly identify poor performing queries and apply fixes. The stated business outcomes included improved response time for complex and tactical queries and the ability to support different service levels for simultaneous complex queries and fast running tactical queries, enabling greater agility in Charter Communications analytics operations.
Retail 5000 $850M Australia Teradata Teradata Data Warehouse Appliance Data Warehouse Appliance 2015 n/a
Banking and Financial Services 20900 $4.0B France Teradata Teradata Data Warehouse Appliance Data Warehouse Appliance 2015 n/a
Retail 19700 $5.6B United States Teradata Teradata Data Warehouse Appliance Data Warehouse Appliance 2008 n/a
Communications 75000 $79.6B United States Teradata Teradata Data Warehouse Appliance Data Warehouse Appliance 2022 n/a
Transportation 3215 $714M United Kingdom Teradata Teradata Data Warehouse Appliance Data Warehouse Appliance 2015 n/a
Showing 1 to 10 of 10 entries

Buyer Intent: Companies Evaluating Teradata Data Warehouse Appliance

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Teradata Data Warehouse Appliance. Gain ongoing access to real-time prospects and uncover hidden opportunities.

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
No data found
FAQ - APPS RUN THE WORLD Teradata Data Warehouse Appliance Coverage

Teradata Data Warehouse Appliance is a Data Warehouse Appliance solution from Teradata.

Companies worldwide use Teradata Data Warehouse Appliance, from small firms to large enterprises across 21+ industries.

Organizations such as T-Mobile US, Charter Communications, Aptiv, Banco Bradesco and Advance Auto Parts are recorded users of Teradata Data Warehouse Appliance for Data Warehouse Appliance.

Companies using Teradata Data Warehouse Appliance are most concentrated in Communications, Automotive and Banking and Financial Services, with adoption spanning over 21 industries.

Companies using Teradata Data Warehouse Appliance are most concentrated in United States, Switzerland and Brazil, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Teradata Data Warehouse Appliance across Americas, EMEA, and APAC.

Companies using Teradata Data Warehouse Appliance range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 20%, and global enterprises with 10,000+ employees - 80%.

Customers of Teradata Data Warehouse Appliance include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Teradata Data Warehouse Appliance customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Data Warehouse Appliance.