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The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data

statistical analysis and data mining  families of products for statistical analysis and data mining. The PASW Modeler provides advanced analytical functions and visualization. It promises to integrate seamlessly with existing IT infrastructure, and uses multithreading, clustering, and embedded algorithms for high performance and scalability. In addition to a wide range of mining algorithms, SPSS offers Web mining and text analytics as add-on products. Angoss Software offers an on-demand customer analytics solution focused on addressing sales Read More...
Business Intelligence (BI)
Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications pro...
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Documents related to » statistical analysis and data mining


A Definition of Data Warehousing
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing

statistical analysis and data mining  usually driven by complex statistical formulas. The easiest way to distinguish data mining from the various forms of OLAP is that OLAP can only answer questions you know to ask, data mining answers questions you didn't necessarily know to ask. Data Visualization Tools: Tools that show graphical representations of data, including complex three-dimensional data pictures. The theory is that the user can see trends more effectively in this manner than when looking at complex statistical graphs. Some Read More...
A Simplified Approach to Powerful, Flexible Data Visualization
Corda's CenterView™ enterprise performance dashboards allow users and software partners to use Corda's dashboards to create the presentation layer of analytics,

statistical analysis and data mining  graphs, etc. to present statistical and performance-based data visually. This visual data representation, if used properly, ties back to an organization's strategic initiatives through the use of metrics and other performance-based indicators to drive corporate performance. Corda Technologies Inc. , a Lindon, Utah (US)-based company, provides organizations with a simplified approach to dashboard design, and an easy way to develop front-end dashboards that link to source data. Corda's specialty in data Read More...
The Necessity of Data Warehousing
An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding

statistical analysis and data mining  such as data mining (statistical analysis to discover trends in the data), data visualization (graphical display of query results), or multi-dimensional analysis (the so called slice and dice ). Will the architecture be two-tiered or three-tiered? Three-tiered architectures offload some of the processing to an application server which sits between the database server and the end-user. Will the tool employ a push or a pull technology? ( Push technology publishes the queries to subscribed users, Read More...
When Customer Relationships Meets Business Intelligence Marketing Analysis and User Recommendations
For many reasons, SAS's alliance with Amdocs and partnership with Aprimo might be some of a few vendor partnerships where customers and the vendors benefit.

statistical analysis and data mining  BI players, or from statistical package market players, such as Insightful's S-Plus and SPSS , SAS is also facing a new nemesis in Siebel . Siebel designed Siebel Enterprise Analytics from the scratch and with data integration in mind. In two years, this product has grown from a few early adopters to become one of the vendor's fastest-growing, and possibly the largest product lines in 2004. Needless to say, Siebel has long been a customer relationship management (CRM) archrival to Aprimo in the realm of Read More...
The Use of Ceiling-Ducted Air Containment in Data Centers
Ducting hot IT-equipment exhaust to a drop ceiling can be an effective air management strategy, improving the reliability and energy efficiency of a data center

statistical analysis and data mining  DCIM, data center, data center infrastructure management, DCIM management, DCIM software, DCIM software tools, IT, IT infrastructure, APC by Schneider Electric, facility operations and maintenance, data center facility operations, data center PUE, PUE, data center air containment Read More...
A Road Map to Data Migration Success
Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project

statistical analysis and data mining  Road Map to Data Migration Success Our consultants can help you optimize your end-to-end data migration by combining our expertise with our SAP BusinessObjects software to integrate your data and improve the data’s quality, particularly when upgrading or replacing legacy systems with SAP ERP. Source: SAP Resources Related to A Road Map to Data Migration Success : Data Migration (Wikipedia) A Road Map to Data Migration Success Data Migration Project is also known as : Road Map Data Migration Success Read More...
Effective Inventory Analysis: the 5 Key Measurements
The white paper effective inventory analysis isolates and walks you through five simple measurements that will help you ensure you are maximizing t...

statistical analysis and data mining  Inventory Analysis: the 5 Key Measurements As a distributor or manufacturer, how do you stack up when it comes to monitoring the performance of one of your largest investments: your inventory? Computer-generated reports can be more of a hindrance than a help—many systems produce so many reports, you can drown in them. Measurements that evaluate inventory performance? There are literally hundreds of them, so which ones tell you what you really need to know? The white paper Effective Inventory Read More...
Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses
Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has

statistical analysis and data mining  Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and Read More...
Demystifying Data Science as a Service (DaaS)
With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been

statistical analysis and data mining  data science, big data, analytics, data SaaS, data scientist, India, data as a service, real-time data, data analytics Read More...
Implementing Energy-Efficient Data Centers
But in the white paper implementing energy-efficient data centers, you'll learn how to save money by using less electricitywhether your data cente...

statistical analysis and data mining  implementing energy efficient data centers,implementing,energy,efficient,data,centers,energy efficient data centers,implementing efficient data centers,implementing energy data centers,implementing energy efficient centers,implementing energy efficient data. Read More...
Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

statistical analysis and data mining  Management and Analysis From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users Read More...
Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing

statistical analysis and data mining  data governance,data governance best practices,data governance model,data governance institute,what is data governance,data governance framework,data governance roles and responsibilities,data governance definition,data governance strategy,data governance software,data governance conference 2010,data governance maturity model,master data governance,data governance tools,data governance charter Read More...
Understanding the PCI Data Security Standard
The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a

statistical analysis and data mining  data security,data security architecture,data security articles,data security audit,data security breaches,data security companies,data security complianc,data security concerns,data security coordinator Read More...

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