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Business Intelligence (BI)
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...
 

 statistical analysis and data mining


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

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Mining Industry ERP and CMMS RFI/RFP Template

Financials, Human Resources, Manufacturing Management, Process Manufacturing, Inventory Management, Purchasing Management, Quality Management, Sales Management, Project Management, Product Technolo... Get this template

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Business Intelligence (BI)
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...

Documents related to » statistical analysis and data mining

Data, Data Everywhere: A Special Report on Managing Information


The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

statistical analysis and data mining  4,000 employees worldwide. Analytics—performing statistical operations for forecasting or uncovering correlations such as between Pop-Tarts and hurricanes—can have a big payoff. In Britain the Royal Shakespeare Company (RSC) sifted through seven years of sales data for a marketing campaign that increased regular visitors by 70%. By examining more than 2m transaction records, the RSC discovered a lot more about its best customers: not just income, but things like occupation and family status, which 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 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 technology selection and access to historical 'legacy' data are also discussed.

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

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, and to help organizations present and achieve their business goals across the organization.

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

Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization


Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as productivity improvement and systems as well as data in the cloud. This white paper describes a lean form of on-demand data integration technology called data virtualization, and shows you how deploying data virtualization results in BI systems with simpler and more agile architectures that can confront the new challenges much easier.

statistical analysis and data mining  BI, business intelligence, operational intelligence, Hadoop, NoSQL, self-service BI, data virtualization, big data, on-demand data integration, lean data integration, JBoss Data Virtualization Read More

Oracle Database 11g for Data Warehousing and Business Intelligence


Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data.

statistical analysis and data mining  data warehouse,data warehouse architecture,data warehouse concepts,data warehouse software,data warehousing analysis,data warehouse community,data warehouse automation,data warehousing olap Read More

Next-generation Data Auditing for Data Breach Protection and Risk Mitigation


Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system.

statistical analysis and data mining   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 from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

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

Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio


Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the

statistical analysis and data mining  Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the Read More

Revamping Data Management: Big Data Proves Catalyst to Updating Data Management Strategies


Data management plays a key role in helping organizations make strategic sense of their data and how to best use it. Organizations with data management maturity have ushered in clear data goals, but many obstacles persist. This white paper reports survey results that help to establish a clear picture of how organizations are capitalizing on data management today, as well as what challenges and opportunities remain.

statistical analysis and data mining  data management, data management strategy, managing complex data sources, big data, data management adoption, big data management 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 teams encounter some very specific management and technical challenges. Minimizing the risk of these tricky migrations requires effective planning and scoping. Read up on the issues unique to data migration projects, and find out how to best approach them.

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

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 from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

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 proactive rather than passive way. These include security management, policies, procedures, network architectures, software design, and other protective measures. Get a better understanding of the PCC DSS and learn the costs and benefits of compliance.

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