List of IBM PureData System for Analytics Customers
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Since 2010, our global team of researchers has been studying IBM PureData System for 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 IBM PureData System for Analytics 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 IBM PureData System for Analytics for Data Warehouse Appliance include: Valor Holdings Co., a Japan based Manufacturing organisation with 9040 employees and revenues of $5.50 billion, Consum Cooperativa, a Spain based Retail organisation with 18212 employees and revenues of $3.11 billion, ENTEGA Plus, a Germany based Utilities organisation with 2200 employees and revenues of $1.90 billion and many others.
Contact us if you need a completed and verified list of companies using IBM PureData System for 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Consum Cooperativa | Retail | 18212 | $3.1B | Spain | IBM | IBM PureData System for Analytics | Data Warehouse Appliance | 2016 | n/a |
In 2016, Consum Cooperativa implemented IBM PureData System for Analytics as a central analytics appliance within its Data Warehouse Appliance strategy. The deployment used IBM PureData System for Analytics powered by Netezza alongside IBM InfoSphere DataStage for ETL and IBM SPSS Modeler for predictive modeling, creating a compact analytics stack for retail promotions and customer segmentation.
The implementation positioned IBM PureData System for Analytics as the high performance analytical engine, with InfoSphere DataStage orchestrating data ingestion from transactional and loyalty feeds, and SPSS Modeler providing model building and scoring for personalized offers. Functional capabilities focused on high volume analytical queries, campaign orchestration, offer combination generation, and voucher issuance workflows, aligned to marketing and CRM use cases.
Operational coverage extended across Consum retail channels, integrating offer output into paper mailings, the Consum website for printable vouchers, and the Mundo Consum mobile application for digital redemption, with in-store redemption at checkout. The integrated stack produced over 360,000 combinations of personalized offers in December, with vouchers deliverable by paper mail, website print and mobile app presentation, impacting marketing, e-commerce and store operations.
Governance centered on centralized analytics operations and cross functional workflow controls between IT and marketing, enabling iterative model updates and scheduled campaign runs. The IBM PureData System for Analytics deployment is described as the core Data Warehouse Appliance for campaign generation, analytics orchestration and multichannel voucher distribution.
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ENTEGA Plus | Utilities | 2200 | $1.9B | Germany | IBM | IBM PureData System for Analytics | Data Warehouse Appliance | 2018 | n/a |
In 2018, ENTEGA Plus deployed IBM PureData System for Analytics as its central Data Warehouse Appliance to accelerate customer analytics and targeted marketing. The deployment was aimed at bringing advanced analytics in-house to improve customer acquisition and retention in a competitive German energy market, using the IBM PureData System for Analytics as the high-performance analytical store.
ENTЕGA Plus configured the environment to run IBM SPSS Modeler Gold for predictive modeling and IBM Predictive Customer Intelligence for individualized recommendations, with IBM Cognos Business Intelligence used for reporting and visualization. Data integration and transformation were implemented using IBM InfoSphere DataStage together with IBM InfoSphere Change Data Capture to feed the IBM PureData System for Analytics in near real time, enabling analytics to execute directly in the data warehouse and reducing data movement between systems.
The implementation integrated operational sources containing energy consumption, tariff, pricing and campaign response data into a unified analytics platform, supporting marketing, sales and business intelligence workflows. COUNT+CARE and ISR participated in the deployment and enablement, with SPSS Modeler selected to make predictive analytics accessible to nonstatistical users so sales and marketing consultants could run segmentations and campaign models without heavy IT mediation.
Governance and process changes focused on centralizing analytic output as a single version of truth in the Data Warehouse Appliance and transitioning analytic capability from external consultancies to internal teams. Outcomes documented from the implementation include five times higher response rates for targeted communications, four times as many sales while contacting 50 percent fewer customers, and lower cost per campaign, and the organization signaled plans to extend analytics to equipment monitoring using IBM Predictive Maintenance and Quality.
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Valor Holdings Co. | Manufacturing | 9040 | $5.5B | Japan | IBM | IBM PureData System for Analytics | Data Warehouse Appliance | 2017 | n/a |
In 2017, Valor Holdings Co. migrated a database of over ten billion customer transactions into IBM Db2 Warehouse on Cloud, adopting a Data Warehouse Appliance architecture to centralize sales and membership analytics across its retail network. The company moved data that had been collected on an IBM PureData System for Analytics into the cloud over a ten month migration, preserving transaction fidelity while establishing a new shared analytics platform for its multiple retail businesses.
The IBM Db2 Warehouse on Cloud deployment was provisioned as an MPP Small configuration running on AWS, emphasizing in-memory query performance and fast aggregation for complex analytic workloads. Valor Holdings established dedicated data marts for its supermarkets, home centers and drug stores, and configured reporting and aggregation workflows to support weekly distribution of sales summaries and store-level dashboards.
Operational coverage included the companys entire retail network, which encompassed 778 stores across the Tokai and Hokuriku regions, and integrated Lu Vit membership card transaction identifiers to link anonymized customer attributes with purchase history. The implementation supported buyers, store managers and marketing teams by centralizing cross-store purchase histories and enabling sequence analysis of item purchases, while the IT team explored upstream analytics and AI augmentations using IBM Watson APIs.
Governance and rollout followed a company-wide provisioning model, with IBM providing 24 by 7 support for the Db2 Warehouse on Cloud environment and assisting with data transfer from IBM PureData System for Analytics. Valor Holdings restructured reporting workflows to feed the new data marts, reduced end-to-end report generation latency through optimized ETL and aggregation pipelines, and placed the new environment into production with operational ownership retained by the information systems department.
Results reported by Valor Holdings include centralization of complex customer spending data across the retail network and a 90% reduction in reporting time on sales data for all stores nationwide, with weekly reports that previously took 20 to 30 minutes now completing in two to three minutes. The Lu Vit card rollout continues with an initial usage rate near 10 percent, and the company is leveraging the IBM Db2 Warehouse on Cloud platform as a foundation for future visualization, AI and multi-cloud exploration.
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Buyer Intent: Companies Evaluating IBM PureData System for Analytics
- Joint Stock Commercial Bank for Investment and Development of Vietnam, a Vietnam based Banking and Financial Services organization with 29352 Employees
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