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Hard Hat Area: Myths and Pitfalls of Data Mining by SPSS Inc. Worldwide Headquarters
February 20, 2009 - (Free Research) The intrepid data miner runs many risks, including being buried under mountains of data or disappearing along with the "mysterious disappearing terabyte." Myths and misconceptions create their own risks and need to be debunked. This article outlines some risks, debunks some myths, and provides some protective "hard hats" for data miners.
Publisher Targets Most Profitable Subscribers with SPSS by SPSS Inc. Worldwide Headquarters
May 2009 - (Free Research) To improve the profitability of its subscriptions and increase the value it provides to its advertisers, The Miami Herald Publishing Company used PASW Statistics to find and target new subscribers likely to be stable, profitable customers. Read this case study for more.
Intelligent Decisions: Enhancing Processes with Business Rules and Predictive Models by SPSS Inc. Worldwide Headquarters
March 2009 - (Free Research) Learn how your organization can integrate analytics with business processes to become a Predictive Enterprise that employs insights to make intelligent decisions. This webinar will show you the fundamentals of combining industry knowledge and business rules with powerful analytics to improve revenue generation and business performance.
The Customer-Driven Innovation Series: The Predictive Enterprise by SPSS Inc. Worldwide Headquarters
December 2007 - (Free Research) Customer data mining and predictive analytics helps achieve customer innovation, strengthen brand and lift sales. Gain further customer insight with four attributes of a predictive enterprise so you can start putting customer innovation to work.
A Smarter Start: Preparing Data with SPSS Statistics Base by SPSS Inc. Worldwide Headquarters
February 2009 - (Free Research) Before you can analyze your data, you must prepare it for analysis. SPSS Statistics Base offers an array of techniques and features to help users validate data in order to ensure complete, effective, and accurate analysis. This webinar will show you some of these techniques so you can be certain you are getting the best information from your data.
Building the Business Case for Predictive Analytics: Nucleus Research by SPSS Inc. Worldwide Headquarters
February 2009 - (Free Research) Predictive analytics encompasses a variety of techniques from statistics and data mining that analyze current and historical data to make predictions about future events. In this Nucleus Research report, learn how your company can achieve ROI from Predictive analytics applications.
Sybase IQ 15: An InDetail Paper by Bloor Research by Sybase, Inc.
August 2009 - (Free Research) Read this paper to learn how Bloor Research determined that Sybase 15 will provide substantially better performance at lower cost than traditional approaches for analytics, reporting, and data warehousing environments.
From Chaos to Order - Winning the Information Management Game by Oracle Corporation
April 2009 - (Free Research) This paper explores how businesses can capitalize on a free, easy- to- use, rapid web application tool for the Oracle Database that will help consolidate personal databases, spreadsheets, and other data to create a single point of truth for everyone in the company.
Getting Control of Electronic Discovery by FTI Technology
December 2008 - (Free Research) This ESG analyst paper discusses the challenges posed by electronic discovery processes, current methods of dealing with these issues, and the potential cost savings that companies could achieve if they choose to invest in technology to help expedite the entire operation.
Solving the Challenges of Exponential Data Growth by Syncsort
October 2009 - (Free Research) This paper explores the reasons why data volumes are increasing and where bottlenecks most frequently occur. It then explains why adding more hardware isn’t a solution to these performance problems and delves into the various methods that can be used to break through the bottlenecks to speed applications.
Expand Your Reach: Mastering Multi-Modal Survey Research by SPSS Inc. Worldwide Headquarters
April 2009 - (Free Research) Whether it's in your call center, on the Web, or in-person, effective survey research requires proven practices that reach across the board. In this webcast, you learn how to cut the costs and improve the performance of your survey research efforts - regardless of where you reach your respondents or what language they speak.
American Airlines sees ROI of 1192% in 2 Months with Predictive Analytics by SPSS Inc. Worldwide Headquarters
February 2009 - (Free Research) To overcome the challenges of increased customer data, American Airlines deployed SPSS for Windows to replace its mainframe based analytics system, increasing productivity of its customer research team and improving decision making while reducing ongoing costs.
The Flawed Vision of Customer Data Integration – How to Get it Right the First Time by Siperian, Inc.
September 2009 - (Free Research) The initial goal of Customer Data Integration (CDI) was to create the most reliable customer data for the entire company. We now know that the golden opportunity for CDI lies within Master Data Management and the ability to uncover interactions and understand the relationships that companies have with their customers.
How the Fastest Growing Companies Use Business Intelligence by Information Builders
June 2009 - (Free Research) This paper investigates various levels of business intelligence, discusses the challenges organizations face with today's typical BI deployments, and highlights how many high-growth companies have implemented strategic, analytical, and operational initiatives to work seamlessly together to enhance performance and boost competitive advantage.
Optimizing The Value of Your Subscriber Data by Hewlett-Packard Company
September 2009 - (Free Research) Mobile network operators are not exploiting the full value of their most valuable asset—their subscriber information. While mobile network operators may be sitting on a gold mine of subscriber data, they do not have the tools they need to exploit it. This paper explains the avenues available to take advantage of their subscriber information.
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