You are here

Home > Video >

Video

Carter's: Supporting Business Growth with Next Generation BI & Analytics, powered by Netezza

Length: 3:22

At NRF 2011, Mark McSwain of Carter's shared the story of Carter's evaluation, selection, and deployment of the Netezza data warehouse appliance for cross-channel, multi-brand analysis. After evaluating Netezza, Oracle Exadata, and Teradata, Carter's decided that Netezza was the right fit for them and migrated from Oracle to Netezza in less than 6 weeks. This video shares highlights from Mark McSwain's presentation.

Catalina Marketing: Staying Ahead of the Curve with IBM Netezza
Length: 1:24
iBasis: The Benefits of Moving from Oracle to IBM Netezza
Length: 2:04
Kelley Blue Book's Platform for Vehicle Valuation & Advertising Analysis
Length: 3:58
MACH: Enabling Transaction Level Analysis for Telcos with the IBM Netezza Data Warehouse Appliance
Length: 2:50
Netezza vs. Competitor
Length: 7:14
Translational research at University of Wisconsin Health with the IBM Netezza data warehouse appliance
Length: 4:13
Airwave Solutions' On-demand Netezza Database Powers Real-time Emergency Response
Length: 3:24
Blue Cross Blue Shield of Massachusetts
Length: 2:15
Carphone Warehouse Recovers Millions in Revenue Assurance with IBM Netezza
Length: 3:21
Carter's: Supporting Business Growth with Next Generation BI & Analytics, powered by Netezza
Length: 3:22
Con-way Freight's Journey with Netezza
Length: 2:42
eXelate: Turning Online Behavioral Activity into Marketing Insights
Length: 3:18
Guy Carpenter: Real-Time Risk Management with Compute-Intensive Analytics & IBM Netezza Spatial
Length: 1:36
Improving Pharmaceutical Research with Netezza Powered Analytics
Length: 3:59
insurethebox - Transforming the motor insurance industry with the IBM Netezza data warehouse appliance
Length: 2:37
IntercontinentalExchange (ICE): Delivering same-day response to regulatory requests with IBM Netezza
Length: 2:02
Kelley Blue Book values the IBM Netezza High Capacity Appliance
Length: 3:51
Netezza Data Analysis Powers Real Time Bidding for MediaMath Demand Side Platform
Length: 3:53
NYSE Euronext: Federated Data Architecture With IBM Netezza
Length: 3:20
Simplicity Drives Performance
Length: 1:09
T-Mobile: Network engineering success at scale with IBM Netezza
Length: 3:02
With Great Power Comes Great Simplicity
Length: 5:10
[x+1] with IBM Netezza: Marketing in Real Time - The Technology & Data Imperative
Length: 2:50
IBM Netezza at IOD11: Amos Maggor Defines Simplicity
Length: 1:40
Information On Demand 2011: IBM Netezza Live & In Action
Length: :51
Netezza at IOD11: Live from the EXPO floor
Length: 2:09
Netezza at IOD11: Pepsi Co. Wins Customer Innovation Award
Length: 2:13
Publishing Analysis in Near-Real Time
Length: 3:37
Smart Consolidation with Phil Francisco
Length: 5:28
Time To Value with IBM's Steve Mills
Length: 4:04
Analytic Workloads vs. Transactional Workloads
Length: 7:19
Claudia Imhoff Defines Self-Service BI
Length: 3.07
Migrating to IBM Netezza: David Birmingham, Enterprise Solutions Architect, Brightlight Consulting
Length: 4:23
Using Hadoop with the IBM Netezza Appliance
Length: 4:17
Appliance Simplicity = Revenue
Length: 3:25
Challenges with Big Data: Dr. Usama Fayyad of Open Insights
Length: 6:09
Cost & Margin Analysis with Armeta Solutions
Length: 4:04
Jim Baum Keynote Address Enzee Universe 2011
Length: 1:03:10
Advanced Analytics: Moving Beyond SQL
Length: 8:38
Advanced Analytics: Transitioning from Reporting to Predicting
Length: 6:53
Bayes Belief Networks & Advanced Analytics
Length: 6:25
Key Differences Between Oracle Exadata & Netezza Examined
Length: 1:05
Plight of the Oracle Exadata User #1
Length: 0:45
Plight of the Oracle Exadata User #2
Length: 0:43
Plight of the Oracle Exadata User #3
Length: 0:45
The Man Behind the Bayesian Theorem
Length: 2:16
Thomas Bayes and Modern Intelligence Gathering
Length: 10:41
Thomas Bayes Keeps Your Inbox Spam-Free?
Length: 3:24
Take the IBM Netezza TestDrive
Length: 0:16
BlueKai & Intuit
Length: 3:56
Michaels Stores
Length: 1:23
Netezza TwinFin - A Guided Tour
Length: 5:54
PacSun
Length: 1:11
TwinFin
Length: 3:42

Find more big data conversation by following @IBMbigdata