Home
 > search for

Featured Documents related to »  implementation 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

implementation data mining  A business intelligence (BI) implementation can be considered two-tiered. The first tier comprises standard reporting, ad hoc reporting, multidimensional analysis, dashboards, scorecards, and alerts. The second tier is more commonly found in organizations that have successfully built a mature first tier. Advanced data analysis through predictive modeling and forecasting defines this tier—in other words, data mining. Data mining has a significantly broad reach and application. It can be applied in any si Read More...
Mining Industry (ERP & CMMS)
Start evaluating software now
Country:

 Security code
Already have a TEC account? Sign in here.
 
Don't have a TEC account? Register here.

Documents related to » implementation data mining


Komatsu Employs “Mod Squad” For Logility Implementation
At the Connections 2000 Logility user conference in New Orleans, users recounted implementation stories. Few were as striking as that of the Komatsu’s DRP

implementation data mining  of the Komatsu's DRP implementation modifications, a testament to human ingenuity. Komatsu America is the second largest supplier of construction and mining equipment in the Western Hemisphere. It sells a complete line of hydraulic excavators, bulldozers, wheel loaders, dump trucks, graders, and crushers. In October 1998, the company began parallel implementations of Logility Voyager Solutions for distribution requirements planning (DRP) and inventory planning (IP). In two months, Komatsu had gone live wi Read More...
Data Quality: Cost or Profit?
Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and

implementation data mining  foundation of successful CRM implementation and accurate customer intelligence. Past experience and research show that 50 to 70 percent of many CRM initiatives should be devoted to data quality. Consequently poor data quality hampers a company's ability to realize the return from their investment in a truly integrated CRM. Data quality, therefore, should not be considered a one-time exercise. It has to be integrated as a core element in managing a business. Defective data quality leads to customer complai Read More...
Four Critical Success Factors to Cleansing Data
Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment

implementation data mining  within budget. Find an implementation including metrics of data integrity and process and you will be hard pressed. Project teams would rather perform system configuration than perform manual data review and validation. No wonder, according to Ovum Research, 50 % of data warehousing projects fail. If more companies would incorporate the concepts of data quality and data integrity into their project lifecycle, the IT department would have less data to clean up post golive. We have all heard this before: F Read More...
Best Practices for a Data Warehouse on Oracle Database 11g
Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW

implementation data mining  of the design or implementation of a data warehouse the initial key to good performance lies in the hardware configuration used. This has never been more evident than with the recent increase in the number of Data Warehouse appliances in the market. Many data warehouse operations are based upon large tables scans and other IO-intensive operations, which perform vast quantities of random IOs. In order to achieve optimal performance the hardware configuration must be sized end to end to sustain this level o 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

implementation 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...
Metagenix Reverse Engineers Data Into Information
Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries

implementation data mining  Reverse Engineers Data Into Information Metagenix Reverse Engineers Data Into Information M. Reed - February 15, 2001 Event Summary Metagenix, Inc. has designed its flagship product, MetaRecon to, as they put it, Decipher Your Data Genome . The product reverse engineers all of the metadata ( data about data ) from data sources and generates information that is very helpful to developers in designing specifications for a new data store, and assists greatly in preparing for cleansing and Read More...
Data Quality Strategy: A Step-by-Step Approach
To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how

implementation data mining  Quality Strategy: A Step-by-Step Approach To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More...
ESG - Riverbed Whitewater: Optimizing Data Protection to the Cloud
Riverbed Whitewater leverages WAN optimization technology to provide a complete data protection service to the cloud. The appliance-based solution is designed

implementation data mining  - Riverbed Whitewater: Optimizing Data Protection to the Cloud Riverbed Whitewater leverages WAN optimization technology to provide a complete data protection service to the cloud. The appliance-based solution is designed to integrate seamlessly with existing backup technologies and cloud storage provider APIs. Read this ESG Lab report on hands-on testing of the Riverbed Whitewater appliance for ease of use, cost-effective recoverability, data assurance, and performance and scalability. 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

implementation 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...
Customer Data Integration: A Primer
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a

implementation data mining  for a successful CDI implementation are interdependency and redundancy profiling. Checking for interdependency among tables within different databases across the organization will create similar database structures. For example, a customer number should be attached to the customer table in order to link each customer appropriately based on order, billing, and call center information. Data redundancy profiling identifies duplicate records or overlapping values between tables. This eliminates the Read More...
MSI Data


implementation data mining  Data 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

implementation 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...
Choosing the Right ERP Implementation Partner: Five Critical Steps to a Successful ERP Software Implementation
The right implementation partner can get your enterprise resource planning (ERP) system up and running quickly and smoothly, whereas the wrong partner can

implementation data mining  the Right ERP Implementation Partner: Five Critical Steps to a Successful ERP Software Implementation The right implementation partner can get your enterprise resource planning (ERP) system up and running quickly and smoothly, whereas the wrong partner can result in higher costs and considerable disruption to your business, with lasting and cumulative effects. This white paper addresses five key steps in the ERP selection and implementation process that contribute to ERP success. Read More...
Data Storage in the Cloud--Can You Afford Not To?
In Data Storage in the Cloud Can You Afford Not To?

implementation data mining  Storage in the Cloud--Can You Afford Not To? Spiraling data storage requirements are straining many companies' abilities to keep pace. One obvious solution is storage in the cloud—but concerns regarding security, speed, and accessibility remain. Or do they? In Data Storage in the Cloud—Can You Afford Not To? , you'll discover a cloud storage solution that offers you high-security dual-level encryption (SSLv3 and 256-bit AES) data accessibility from anywhere lower costs due to the economies of Read More...

Recent Searches
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Others