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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

why data mining  retailer can plan production. Why Not OLAP or Statistics? Data mining includes advanced techniques for understanding data that far exceed the capabilities of online analytical processing (OLAP). OLAP tools provide the means to perform multidimensional analysis by using powerful algorithms for aggregating data. While OLAP can help look at the sales of a certain product within a specific region and time period, data mining can discover relationships between various attributes in the data and deduce why Read More...
Mining Industry (ERP & CMMS)
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Documents related to » why data mining


The Evolution of a Real-time Data Warehouse
Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine

why data mining  operational purposes, which explains why some traditional real-time systems are also called operational systems. The Data Warehouse Operational systems are able to generate a large amount of data to support the transactional operations of an organization. The data generated by these systems is fresh and valuable; as well, it can be very diverse and heterogeneous, and can come from a wide variety of sources. It is common for many companies to have several systems to support their operations. In order to Read More...
How the Mining Industry Benefits from ERP Systems
Integrated enterprise resource planning software normalizes the reporting requirements for a mining company’s various departments. This article loosely shows

why data mining  the chosen ERP system. Why should any company implement an ERP system? Based on the responses of over 1,400 manufacturers to an August 2007 survey by the Aberdeen Group on the reasons for implementing an ERP system, the following statistics were found: availability of low-cost options that minimize risk: 41% pressure from customers or suppliers for data and collaboration: 40% explosive growth: 33% growth beyond a predefined threshold: 29% regulatory compliance requirements: 25% a disastrous event that 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

why data mining  - August 2, 2000 Why the market is necessary Data warehousing is an integral part of the information age . Corporations have long known that some of the keys to their future success could be gleaned from their existing data, both current and historical. Until approximately 1990, many factors made it difficult, if not impossible, to extract this data and turn it into useful information. Some examples: Data storage peripherals such as DASD (Direct Access Storage Device) were extremely expensive on a Read More...
How to Comply with Data Security Regulations
A remote data backup solution can be compliant with almost any international, federal, or state data protection regulation@and can be compliant with the common

why data mining  Your Client Data | Why Using Data Protection | Whole Disk Encryption | Whats is Database Protection | What is Data Security | What Does Bizdomain | Tape Data Backup | Tape Backup Data Storage | System Data | System Backup Software | Struggling with Data Security | State Data Protection | State Data | Software Backup | Simplify Data Security | Server Data Protection | Server Data Backup | Server Backup Storage | Security Software | Security of Data | Security Data Center | Securising Database | Secure 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

why data mining  Web Data Security | Why Data Security | Wireless Data Security | PCI DSS Data Security | PCI DSS Data Security Architecture | PCI DSS Data Security Articles | PCI DSS Data Security Audit | PCI DSS Data Security Breaches | PCI DSS Data Security Companies | PCI DSS Data Security Compliance | PCI DSS Data Security Concerns | PCI DSS Data Security Coordinator | PCI DSS Data Security Definition | PCI DSS Data Security Experts | PCI DSS Data Security Handbook | PCI DSS Data Security Incident | PCI DSS Data 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

why data mining  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. Read More...
Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise
While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to

why data mining  Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. Read More...
A Solution to Data Capture and Data Processing Challenges
Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the

why data mining  Solution to Data Capture and Data Processing Challenges Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the right information to the right people at the right time—but is your data capture process as efficient as it could be? Learn about the issues surrounding data capture and data processing, and about a solution designed to help you address specific processing problems. Read More...
New Data Protection Strategies
One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased

why data mining  Data Protection Strategies One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets. Read More...
TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center
Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30

why data mining  Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30% compared with traditional, built-out data center power and cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the 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...

why data mining  power, and lighting equipment why system design is the most important factor in determining the efficiency of a data center In today's tough economy, you need to look at every energy and money saving option at your disposal. Find out what you need to know about running an energy-efficient data center. Download your PDF copy of Implementing Energy-efficient Data Centers today.   For assistance, please contact customer service. Hours: 8:00 AM to 5:30 PM EST. Phone: 514-954-3665, ext. 367. Special Offer 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

why data mining  NEEDS Business needs represent why you are migrating data. How many new applications go live but do not deliver the business value expected? You must articulate the business needs that are driving your project. In addition to ensuring that you are meeting the needs of the consumer, you are also controlling the scope of a data migration project, especially source systems analysis and mapping. At first glance, this may seem obvious, but consider as an example the full functionality of a customer relationshi 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

why 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...

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