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The IBM Netezza Data Appliance Architecture: A Platform for High-Performance Data Warehousing and Analytics
IBM Netezza transforms the data warehouse and analytics landscape with a platform built to deliver extreme, industry-leading price-performance with appliance simplicity for years to come. It's a new frontier in advanced analytics, with the ability to carry out monumental processing challenges with blazing speed, without barriers or compromises. For users and their organizations, it means the best intelligence to all who need it—even as demands escalate from all directions. |
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Accelerating Demand Intelligence - sponsored by IBM Netezza and Market6
Demand intelligence is about leveraging data/information for more
efficient and effective business decision making. Utilizing demand
intelligence improves the precision of pricing, product assortments,
channel/store placement, and promotion, which are all essential for
sustainable revenue management performance. |
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Analytics in Database: Simplify the Effort, Power Up the Capability
Beyond reporting and manipulation of aggregated data through reports or dashboards, the need for more advanced analytics is being felt. Previously the reserve of highly specialized "quants," analytics is moving to center stage as the next "must have" technology. Unfortunately, current tools are not optimized for either a greater level of activity or for the massive data sets now routinely created in data warehouses. |
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Concurrency & Workload Management in Netezza
Today's data warehousing and business intelligence environments increasingly require the online sharing of data among multiple users at the same time. As organizations drive to make business intelligence more operational, they are extending access to business intelligence data and analytics across the enterprise – to front-line staff, partners and customers – in addition to the more traditional data warehouse users such as executives and financial and business analysts. The goal is to integrate business intelligence analytics within business processes to improve intraday decision making. |
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Data-Centric
Computing with the Netezza Architecture
While
relational databases have become critically important
in business applications and web services, they have played
a relatively minor role in scientific computing, which
has generally been concerned with modeling and simulation
activities. However, massively parallel database architectures
are beginning to offer the ability to quickly search through
terabytes of data with hundred-fold or even thousand-fold
speedup over server-based architectures. These new machines
may enable an entirely new class of algorithms for scientific
applications, especially when the fundamental computation
involves searching through abstract graphs. |
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Enabling the Intelligent Economy with Information Management and Analytics
Convergence of intelligent devices, social networking, pervasive broadband networking, and analytics is ushering in a new economic system that is redefining relationships among producers, distributors, and consumers of goods and services. In the enterprise, these trends have resulted in a significant decrease in the ability of managers to rely effectively only on experience or intuition to make decisions. |
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Harnessing the Power of Advanced Analytics with IBM Netezza
IBM Netezza data warehouse appliances push the limits of analytics by fusing our ground breaking data warehouse appliances with high performance, scalable analytics that can process massive data to solve complex problems orders of magnitude faster than typical solutions. IBM Netezza Analytics, IBM's embedded advanced analytics platform delivered with every appliance, enables the development and deployment of analytics to drive game changing results. |
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IBM Netezza Data Warehouse Appliances - Release 6.0 Highlights - an Executive Report by Winter Corporation
IBM Netezza's Release 6.0 introduces new capabilities in performance, scalability and workload management. Included in this release is IBM Netezza Analytics, a platform that provides customers and partners with a broad set of pre-defined analytic functions plus key language and IDE interfaces for developing user-defined analytics. Download this paper today and learn how these new enhancements make IBM Netezza data warehouse appliances your appliances of choice for data warehousing and analytics applications. |
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IBM Strategy for Data Warehousing & Analytics – Smart Consolidation
As organizations grow their business intelligence portfolios, deploying analytic applications to
derive greater value from their data, their data warehouses assume ever more importance. These
systems, originally conceived to support offline reports and rudimentary analytic queries, are now
asked to manage enormous and growing data volumes and growing communities of knowledge
workers creating a broad range of analytic workloads. The traditional model of a single, centralized
enterprise data warehouse (EDW) system is too rigid, unable to keep pace with demands for new
analytic applications. This paper recommends reassessing data warehouse architecture. |
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Netezza: Enabling Advanced Analytics - a Bloor white paper
In-place analytics processing will mean that network bottlenecks can be eliminated, while the high performance processing that Netezza is renowned for should deliver significantly faster time to insight. |
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Netezza Insight: IBM Netezza's vision for business decision-making in agile enterprises
IBM Netezza's vision is of a seamless platform for analytics constructed from multiple appliances, each specialized to its task, communicating with one another in a globally scalable grid appearing to the users as a cloud. The appliances are easy to use and easy to manage, requiring no specialist skills. Flexible and elastic, this grid responds easily to change. The speed at which data is loaded and analyzed to inform decisions makes the organization agile, comprehending complex situations as they unfold. |
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Netezza Retail Analytic Appliance™: Guided Best Practices for Operational Improvements
The macro-economic challenges of the late 2000's have, in many ways, increased the sense of urgency in retailing. It was hard before the recession to avoid markdowns,migrate toward localized assortments, fight out-of-stocks, and work on pricing and promotion strategies. Today, the stakes and challenges have increased. A number of experts believe the new shopping habits of this time will continue long after the economy has stabilized and even improved. As a result, it's likely the need to be super aggressive in retail merchandising,marketing, supply chain, stores and management will continue. |
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Netezza Spatial™: Bringing High-Performance Location Intelligence into the Data Warehouse
Location information is embedded in nearly every data point and transaction that matters
to a business. Utilizing this wealth of information in business intelligence (BI) analytics
presents an opportunity for significant differentiation in nearly every industry. But exploiting
location or spatial data for optimal decision-making has been daunting, if not impossible,
within traditional data warehouses... until now. Netezza Spatial™, an extension to the
market leading IBM Netezza data warehouse appliance,
breaks through traditional barriers to deliver unparalleled performance, scalability and
ease of management for spatial and non-spatial data; and enables enterprises and
organizations to analyze all their data all the time for optimal decision making. |
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Tapping into unleashed business potential through advanced analytics: How can we exploit the power of advanced analytics with IBM Netezza data warehouse appliances to strengthen our competitive differentiation?
Every business is seeking new ways to achieve sustainable competitive advantage, and the most challenging business problems can quickly shift from customer loyalty issues to supply chain inefficiencies. Just when the competitive strategy is in place, the marketplace can swing wildly due to global economics and you may need to go back to the drawing board. How can a business possibly plan for every contingency and challenge? More and more businesses are seeking ways to do just that by making more informed decisions utilizing all of the data available to them. |
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The Changing Mission of Marketing Data
The Changing Mission of Marketing Data White Paper is the result of probing interviews with more than 200 thought leaders and influencers in the marketing data industry. This important research provides key insights into the full-scale transformation of the industry that is now underway. |
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The Green Revolution
in Data Warehousing: The Power, Cooling and Footprint
Advantages of the IBM Netezza Analytic Appliance
Skyrocketing power costs and finite
power availability are forcing many companies to re-examine
their IT strategies and budgets. With their intense workload
— dozens or hundreds of processors and
large numbers of spinning disk drives straining over massive
queries — data warehouse systems based on general-purpose
designs have long been one of the major consumers of power.
As data volumes continue to grow and complexity of the
enterprise analytic environment increases, companies will
continue striving for a competitive edge through better-performing
data warehousing and analytic infrastructures. The IBM Netezza
analytic appliance
redefines energy efficiency in data warehousing, while
providing cost-effective query performance beyond the
reach of other systems. |
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Today's Analytic Imperative for Post Market Drug Safety and Effectiveness
Three related billion-dollar sectors are suddenly incentivized to perform statistical methods against huge volumes of patient data toward drug safety and effectiveness. |
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The Total Economic Impact Of IBM's Netezza Data Warehouse Appliance With Advanced Analytics - A Forrester Total Economic Impact™ Study Prepared For IBM
In June 2011, IBM commissioned Forrester Consulting to examine the total economic impact and potential return on investment (ROI) enterprises may realize by deploying its Netezza data warehouse appliance with advanced analytics. The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of the IBM Netezza appliance on their organizations.
IBM Netezza Data Warehouse Appliances Provide Competitive Differentiation Through Faster Analytics While Reducing Capital And Operational Costs
Our interviews with one existing customer, Epsilon, a multichannel marketing services provider, and subsequent financial analysis based on assumptions that Forrester used illustrate the potential ROI from the use of IBM Netezza appliances. Epsilon is one of IBM Netezza's largest partners in the campaign marketing industry.
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Warehousing Web Analytics — Semphonic in partnership with Netezza
Innovation in the use of online data via traditional web analytics solutions has plateaued – focusing primarily on reporting basic facts about aggregated site usage. From long experience with Customer Relationship Management (CRM) and Business Intelligence (BI), it is clear that aggregate reporting alone represents only a fraction of the opportunity to create value from the collection and analysis of customer behavior. Integrating site behaviors with additional customer information, understanding visitor mindset via current behavior, and driving customer contact via intelligent analysis of that behavior are the applications that drive the most value to the organization. This paper highlights why the IBM Netezza family of data warehouse (DW) appliances has significant advantages in the web analytics domain. |
