AI Buyer Insights:

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

List of IBM Netezza Appliance Customers

loading spinner icon



Apply Filters For Customers

Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
AARP Non Profit 2300 $1.9B United States IBM IBM Netezza Appliance Data Warehouse Appliance 2018 n/a
In 2018, AARP implemented the IBM Netezza Appliance to centralize voice of customer analytics and enterprise reporting. The IBM Netezza Appliance, a Data Warehouse Appliance, was adopted by the VoC Insights & Measurement function within AARP Experience to persist aggregated and modeled data used for CX and consumer insights workflows. The implementation encompassed development of SQL queries and advanced data modeling inside IBM Netezza Appliance, together with Tableau dashboards to surface findings. Text analytics outputs created in Clarabridge were operationalized alongside structured datasets, and NLP models for emotion, effort, and root cause analysis were incorporated into downstream reporting and analysis pipelines. Ingest and processing architecture included automated pipelines that collected millions of data points via web scraping and API feeds, and routed cleaned and transformed records into the IBM Netezza Appliance for analysis. Tableau was used as the visualization layer sourcing data directly from the appliance, and Clarabridge provided the unstructured text processing layer that fed structured annotations back into the warehouse. Governance and operationalization focused on defining and tracking customer journey touchpoints, packaging qualitative and quantitative VOC findings for business consumption, and designing automations to monitor deliverable quality and team efficiency. The program identified use cases to drive CX improvements and explicitly reduced external data vendor spend by over 1 million dollars.
AbbVie Life Sciences 55000 $56.3B United States IBM IBM Netezza Appliance Data Warehouse Appliance 2019 n/a
In 2019, AbbVie implemented IBM Netezza Appliance. The IBM Netezza Appliance was provisioned as a central Data Warehouse Appliance to support enterprise reporting and analytics for AbbVie's data and reporting teams based in Frisco, TX. The implementation centered on delivering extract, transform, and reporting capabilities through SQL-driven data pipelines and a Spotfire visualization layer. Data and Reporting Developers built complex Spotfire dashboards using Tibco Spotfire 10.3, authored SQL scripts with multiple joins and filters to extract data from Oracle 12C and IBM Netezza, and implemented calculated columns, custom expressions, and drill down visualizations to meet business requirements. HTML and Python scripting were used to create custom visualizations and cover pages, while row level security was enforced through personalized information links to restrict user access. The deployment architecture positioned IBM Netezza Appliance as the analytic database tier with Tibco Spotfire as the BI presentation tier, communicating via SQL queries for ad hoc analysis and scheduled reporting. Integration points explicitly included Oracle 12C as a source system and IBM Netezza as the warehouse, with developers performing cross-system joins and data preparation in the warehouse prior to visualization. The environment leveraged standard SQL tooling for extraction and transformation workflows. Governance and rollout activities included modifying existing Spotfire reports for improved performance and training business users to adopt automated reporting instead of spreadsheet based processes. Operational scope covered business users who provided requirements and the data and reporting function that maintained dashboards and ad hoc reporting. IBM Netezza Appliance, combined with Spotfire analytics, was the implemented platform supporting AbbVie business reporting and analytics.
Abercrombie & Fitch Retail 31700 $4.3B United States IBM IBM Netezza Appliance Data Warehouse Appliance 2020 n/a
In 2020 Abercrombie & Fitch implemented IBM Netezza Appliance as its Data Warehouse Appliance to consolidate analytical workloads for the Decision Intelligence team. The IBM Netezza Appliance was deployed to serve as a high-performance analytic store and to support reproducible data analysis across internal analytics projects. The implementation emphasized data aggregation and analytic serving capabilities common to Data Warehouse Appliance deployments, with analytics workloads consumed by R Shiny and python bokeh applications developed by the data science team. Abercrombie & Fitch used the IBM Netezza Appliance to host curated datasets and to support exploratory and production analytic queries executed by data scientists and business analysts. Integration work included explicit use of Hadoop as a source alongside IBM Netezza, with data scientists collecting and analyzing data from multiple data sources like Hadoop and IBM Netezza in a reproducible manner. Deployment and operational management of R and python projects was handled via GitLab and a Linux server, and automation was implemented through python and shell scripts to reduce manual workflows for associates, reflecting operational coverage that includes the Decision Intelligence team and business users in the Columbus, Ohio area. Governance relied on version-controlled code and reproducible pipelines, with GitLab-based deployment and Linux-hosted runtime for analytic applications and scripts. The environment was structured to standardize data ingestion, analytic development, and application deployment, enabling the data science team to maintain and iterate on models and visualization apps while automating manual processes for business functions.
Academy Sports & Outdoors Retail 11006 $6.8B United States IBM IBM Netezza Appliance Data Warehouse Appliance 2018 n/a
In 2018, Academy Sports & Outdoors implemented IBM Netezza Appliance as a Data Warehouse Appliance to consolidate analytic processing for product, inventory, pricing and e-commerce reporting. The IBM Netezza Appliance supported the Product Information Management team and enterprise reporting pipelines used to deliver near real time inventory and pricing visibility to stores across the United States. The implementation centered on NZSQL development, ETL job orchestration, and database object engineering including tables, views, stored procedures, user defined functions and triggers. Lead Database Developer responsibilities included NZSQL based data migration work, complex SQL development, performance tuning, and construction of ETL packages using MS Integration Services. Integrations leveraged explicit work with DB2 and Oracle RMS feeds that were part of earlier assortment migration activities, MS Integration Services for ETL orchestration, and Microsoft SQL Server Reporting Services for report delivery. The configuration supported Product Information Management workflows, the inventory and pricing product locator backend services, and e-commerce reporting pipelines. Governance followed an end to end database development lifecycle with mapping, design, testing, deployment and post launch support managed by the PIM lead DBA, and enterprise database performance specialization was applied to tuning customer facing queries. The e-commerce reporting solution built alongside the IBM Netezza Appliance implementation remains in production, and the deployed backend supplied near real time inventory and pricing data to stores as an operational capability.
Active Health Management Professional Services 800 $150M United States IBM IBM Netezza Appliance Data Warehouse Appliance 2014 n/a
In 2014, Active Health Management deployed IBM Netezza Appliance as its primary Data Warehouse Appliance to consolidate analytical workloads and serve as the target platform for enterprise ETL pipelines. The IBM Netezza Appliance was provisioned to host dimensional models and star schema constructs developed for claims and operational reporting, with the appliance serving as the central analytical database for downstream BI and reporting tools. Implementation work included end to end ETL architecture and source to target mapping, with Talend used extensively for data extraction, transformation and load. Talend components cited include tMap, tJavaRow, tOracleRow, tMSSQLInput among others, and Talend ESB services were developed and deployed to multiple ESB instances. Additional tooling in the environment included Pentaho designer and Pentaho BI server, BIRT report designer, and advanced Oracle stored procedures for in-flight SQL tuning and transformation logic. The IBM Netezza Appliance integrated explicitly with heterogeneous sources and platforms, including Oracle, SQL Server, Teradata, Sybase, flat files, Excel, Hadoop 2.2, Hive and HDFS. ETL processes created connections to SQL Server, Oracle and Netezza and moved data from staging to dimensions and fact tables, while existing Teradata utilities such as FastLoad and MultiLoad were retained where Teradata remained in scope. Operational activity is documented against work in Alpharetta Georgia between October 2016 and March 2017, reflecting hands on ETL development, mapping creation and job orchestration targeting the Netezza environment. Governance and runbook practices were implemented with Talend Admin Center scheduling, Autosys job control, unit test documentation, code reviews and formal promotion of code into QA, UAT and production. Mapping documents, low level design artifacts and reusable mapplets were created to standardize transformations and support maintenance, and Talend job level LLDs were used alongside Erwin models to align physical design and business process definitions for warehouse operations.
Professional Services 3650 $650M United States IBM IBM Netezza Appliance Data Warehouse Appliance 2010 n/a
Healthcare 28600 $6.3B United States IBM IBM Netezza Appliance Data Warehouse Appliance 2019 n/a
Insurance 50000 $105.6B United States IBM IBM Netezza Appliance Data Warehouse Appliance 2018 n/a
Insurance 350 $100M United States IBM IBM Netezza Appliance Data Warehouse Appliance 2015 n/a
Retail 1500 $230M United States IBM IBM Netezza Appliance Data Warehouse Appliance 2015 n/a
Showing 1 to 10 of 317 entries

Buyer Intent: Companies Evaluating IBM Netezza Appliance

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

  1. Npact Apparel, a United States based Manufacturing organization with 10 Employees
  2. Pinpoint Digital, a United States based Professional Services company with 20 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
No data found
FAQ - APPS RUN THE WORLD IBM Netezza Appliance Coverage

IBM Netezza Appliance is a Data Warehouse Appliance solution from IBM.

Companies worldwide use IBM Netezza Appliance, from small firms to large enterprises across 21+ industries.

Organizations such as Walmart, U.S. Department of Veterans Affairs, UnitedHealth Group, CVS and CVS Health are recorded users of IBM Netezza Appliance for Data Warehouse Appliance.

Companies using IBM Netezza Appliance are most concentrated in Retail, Government and Insurance, with adoption spanning over 21 industries.

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

Companies using IBM Netezza Appliance range from small businesses with 0-100 employees - 2.21%, to mid-sized firms with 101-1,000 employees - 7.57%, large organizations with 1,001-10,000 employees - 33.12%, and global enterprises with 10,000+ employees - 57.1%.

Customers of IBM Netezza 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 IBM Netezza 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.