Data Mining (DM), also called Knowledge-Discovery in Databases (KDD) or Knowledge-Discovery and Data Mining, is the process of automatically searching large volumes of data for patterns such as association rules. It is a fairly recent topic in computer science but applies many older computational techniques from statistics, information retrieval, machine learning and pattern recognition.
Hurwitz & Associates announced the findings of its inaugural Victory Index for predictive analytics. This assessment highlights both the diverse uses of predictive analytics and vendors who make those applications.
Today, the open API is one of the most powerful sources of competitive advantage. It comes down to the potential of your data and services. Download this new eBook to learn how a well thought-out API strategy can help you compete and grow in new ways.
For banks, mining data from social media can be a significant way to gain insights into customer mindsets and behavior, but effectively and accurately capturing and processing this unstructured data to gain useful customer insight requires sophisticated tools and advanced analytics.
For many years, companies have been building data warehouses to analyze business activity and produce insights for decision makers to act on to improve business performance. These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse. Typically, a history of business activity is built up over a number of years allowing organizations to use business intelligence (BI) tools to analyze, compare and report on business performance over time. In addition, subsets of this data are often extracted from data warehouses into data marts that have been optimized for more detailed multi-dimensional analysis.
Read this whitepaper to learn about the 5 best practices for engineering performance management, and understand the doís and doníts of metrics management, analytics and reporting in software development environments.
Florida Hospital performs recovery tests twice a year, recovering more than 100 applications. The healthcare organization needed a recovery strategy that improved communication and efficiency, managed a complex change control process, and that would keep staff at home during a disaster.
With the Managed Recovery Program, SunGard is Florida Hospital's recovery team, ensuring recovery configurations keep pace with production changes, managing recovery test execution, and providing a single point of contact for the complete recovery program.
This DCIG report details how HP 3PAR F-class midrange arrays provide enhanced levels of VMware integration and optimized virtual machine density so users experience levels of VMware efficiency, performance and visibility well beyond what other midrange arrays natively provide.
The report outlines the benefits of using HP StoreOnce with NetBackup's integrated Network Data Management Protocol (NDMP) backup capabilities to enhance administrators' abilities to effectively manage NDMP-enabled NAS server backup and recovery.
Evaluator Group worked with HP to access the features, performance and enterprise capabilities of the HP StoreOnce B6200 Backup system. HP labs and equipment were utilized, with testing under the direction of on-site Evaluator Group personnel. Testing focused on validating high availability features, performance, and application integration.
In this report you will learn how today's WCM platforms are fusing the best marketing automation practices with content management, allowing marketers to leverage content in new and innovative ways. Discover 10 of the top capabilities you should be considering for your website.
Today, as IT departments struggle to design and implement solutions capable of managing exponential data growth with strict requirements for application scale and performance, many
of them are turning to in-memory data grids (IMDGs).