List of Teradata Aster Analytics Customers
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Since 2010, our global team of researchers has been studying Teradata Aster Analytics 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 Aster Analytics for Analytics and BI 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 Aster Analytics for Analytics and BI include: STC (Saudi Telecom Company), a Saudi Arabia based Communications organisation with 19790 employees and revenues of $19.29 billion, J D Williams, a United Kingdom based Retail organisation with 1870 employees and revenues of $893.0 million, Rajasthan Dhugs & Pharmaceuticals, a India based Life Sciences organisation with 200 employees and revenues of $11.0 million and many others.
Contact us if you need a completed and verified list of companies using Teradata Aster Analytics, 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 software purchases.
The Teradata Aster Analytics 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 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 |
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J D Williams | Retail | 1870 | $893M | United Kingdom | Teradata | Teradata Aster Analytics | Analytics and BI | 2016 | n/a |
In 2016, J D Williams deployed Teradata Aster Analytics as part of Teradata's Customer Journey analytic solution to stitch together customer interactions and improve marketing attribution and conversion. The deployment addressed a UK retail use case for marketing and customer journey analytics, positioning Teradata Aster Analytics as a core Analytics and BI capability for analyzing multi channel customer behavior.
The implementation focused on customer journey stitching, attribution modeling and conversion analysis capabilities, consolidating interaction data to build unified behavioral profiles for marketing decisioning. Governance centered on analytics ready data orchestration and cross functional alignment between marketing and advertising teams, delivering better visibility of multi channel behavior and improved advertising ROI.
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Rajasthan Dhugs & Pharmaceuticals | Life Sciences | 200 | $11M | India | Teradata | Teradata Aster Analytics | Analytics and BI | 2017 | n/a |
In 2017, Rajasthan Dhugs & Pharmaceuticals implemented Teradata Aster Analytics as part of a Teradata solutions deployment to establish a state level big data analytics environment. The Teradata Aster Analytics deployment focused on Analytics and BI use cases, explicitly including integrated citizen services, sentiment analytics and fraud detection.
The India public sector implementation was scoped to unify departmental data to create a 360-degree citizen view across state programmes, aligning analytics workstreams for service delivery and anomaly detection. Teradata Aster Analytics was positioned to provide both exploratory analytics and productionized pattern detection for operational teams supporting citizen-facing programmes.
Configuration work centered on data consolidation and analytics pipelines, with Teradata Aster Analytics providing in-database analytics, text and sentiment analysis capabilities, and tooling for running fraud detection and behavioral analytics workflows. The deployment supported dashboarding and reporting for program owners and analytics teams to monitor service delivery and exceptions within the Analytics and BI stack.
Governance emphasis included establishing cross-departmental data consolidation processes and access controls to enable the unified citizen record, with a phased rollout across state programmes. The initiative was intended to unify departmental data for a 360-degree citizen view and improve service delivery and anomaly detection across state programmes.
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STC (Saudi Telecom Company) | Communications | 19790 | $19.3B | Saudi Arabia | Teradata | Teradata Aster Analytics | Analytics and BI | 2016 | n/a |
In 2016, STC (Saudi Telecom Company) selected and deployed Teradata Aster Analytics, leveraging the Teradata Aster Big Data Analytics appliance together with Teradata Hadoop to support advanced analytics initiatives in the Middle East region. This engagement was positioned inside the Analytics and BI category to capture and analyse social media and customer feedback data in support of customer experience and marketing functions.
The implementation emphasized Teradata Aster Analytics capabilities for advanced analytic processing, with explicit use cases including marketing optimisation, path-to-churn modelling, and influencer analysis. Functional workstreams covered data ingestion of social media and customer feedback, analytic model development and operationalization, and interactive analysis to enable faster, deeper analyses for marketing and customer experience teams.
Architecturally the solution combined an appliance-based Teradata Aster environment with Teradata Hadoop for scalable storage and big data processing, creating integrated analytic pipelines from external feedback sources into the analytic platform. Operational scope targeted marketing and customer experience departments across the Middle East region, consolidating social and feedback signals into Teradata Aster Analytics for cross-functional analysis.
Governance and delivery focused on embedding analytic workflows and model governance for churn and influencer analytics, aligning model outputs to marketing decision processes. The program aimed to produce more accurate, data-driven decision making by enabling faster, deeper analyses for marketing optimisation, path-to-churn modelling and influencer analysis.
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