AI Buyer Insights:

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

List of IBM PureData System for Analytics Customers

Apply Filters For Customers

Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
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.
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.
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.
Showing 1 to 3 of 3 entries

Buyer Intent: Companies Evaluating IBM PureData System for Analytics

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating IBM PureData System for Analytics. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating IBM PureData System for Analytics for Data Warehouse Appliance include:

  1. Joint Stock Commercial Bank for Investment and Development of Vietnam, a Vietnam based Banking and Financial Services organization with 29352 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
No data found
FAQ - APPS RUN THE WORLD IBM PureData System for Analytics Coverage

IBM PureData System for Analytics is a Data Warehouse Appliance solution from IBM.

Companies worldwide use IBM PureData System for Analytics, from small firms to large enterprises across 21+ industries.

Organizations such as Valor Holdings Co., Consum Cooperativa and ENTEGA Plus are recorded users of IBM PureData System for Analytics for Data Warehouse Appliance.

Companies using IBM PureData System for Analytics are most concentrated in Manufacturing, Retail and Utilities, with adoption spanning over 21 industries.

Companies using IBM PureData System for Analytics are most concentrated in Japan, Spain and Germany, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of IBM PureData System for Analytics across Americas, EMEA, and APAC.

Companies using IBM PureData System for Analytics 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 - 66.67%, and global enterprises with 10,000+ employees - 33.33%.

Customers of IBM PureData System for Analytics 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 IBM PureData System for Analytics 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.