Mike Brockman, CEO insurethebox discusses how his company is transforming the motor insurance industry and how IBM Netezza & business analytics are at the heart of his business.
Customer References
KTH–Royal Institute of Technology
Researchers at KTH gather real-time traffic data from a variety of sources such as GPS from large numbers of vehicles, radar sensors on motorways, congestion charging, weather, etc. Collected data is now flowing into IBM InfoSphere Streams software—a unique software tool that analyzes large volumes of streaming, real-time data, both structured and unstructured. Analyzing large volumes of streaming data in real time is leading to smarter, more efficient and environmentally friendly traffic in urban areas.
macys.com
Macys.com sought to create a more personalized shopping experience as the brand transitioned from regional to national. In order to accomplish this, the company worked with IBM to establish a foundation for a more dynamic, data-driven and integrated website.
MediaMath
MediaMath needed serious analytical power to help ad buyers optimize performance for any advertiser, campaign or marketing objective. To gain a transparent view of every impression and factor affecting performance of over 13 billion ad impressions per day, the company selected the IBM Netezza Data Warehouse Appliance.
Merkle
Using a high-performance data warehouse appliance from IBM for advanced analytics, Merkle is transforming its clients’ raw data into unprecedented insight that influences the marketing process and helps staff predict customer preferences with incredible accuracy.
Netezza Data Analysis Powers Real Time Bidding for MediaMath Demand Side Platform
Roland Cozzolino (CTO) and Tom Craig (VP Data & Information Strategy) from MediaMath sit down to discuss their analytical objective as a leading Digital Media firm and the role IBM Netezza plays in their business strategy.
Netezza Factor: The Netezza Buzz
Hear what IBM Netezza customers have to say about the benefits of rapidly analyzing complex data, and how it has empowered them to be more innovative in their business decisions.
NYSE Euronext: Adapting to market changes with near-real-time insight into information
Several years ago, NYSE Euronext had used traditional database technology to drive analytics. But with steadily growing data volumes, data analysts found it increasingly difficult to process the data—especially when searching for questionable trading activity. Then they discovered IBM PureData System for Analytics.
NYSE Euronext: Federated Data Architecture With IBM Netezza
Emilie Werr, VP & Head of Enterprise Architecture for NYSE Euronext discusses the benefits seen from their new IBM Netezza data warehouse appliance. Some of these key benefits include: the ability to support their large data footprint (up to 4TB a day), giving users the ability to connect globally, and intra-day updates in as little as 1-minute intervals.
NYSE Euronext: Innovating and Preparing for the Future
Emile Werr, head of Enterprise Data Architecture at NYSE Euronext, talks about how the firm is taking advantage of big data analytics today and planning for the future.
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