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Documents related to » application of data mining


Six Steps to Manage Data Quality with SQL Server Integration Services
Six Steps to Manage Data Quality with SQL Server Integration Services. Read IT Reports Associated with Data quality. Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

APPLICATION OF DATA MINING: enterprise, regardless of business application and system. 1. Profiling As the first line of defense for your data integration solution, profiling data helps you examine whether your existing data sources meet the quality standards of your solution. Properly profiling your data saves execution time because you identify issues that require immediate attention from the start — and avoid the unnecessary processing of unacceptable data sources. Data profiling becomes even more critical when working with
9/9/2009 2:32:00 PM

Scalable Data Quality: A Seven-step Plan for Any Size Organization
Scalable Data Quality: a Seven-step Plan for Any Size Organization. Read IT Reports In Relation To Data Quality. Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

APPLICATION OF DATA MINING: of purchasing a standalone application that handles the same functions. While this is something of a one-size-fits-all solution, it will fill many of the same needs and be ready to run almost from the moment you receive the software. Another important criterion is that the solution scales well with the growth of your organization. If your approach to data quality works the same with a hundred thousand or a million records as it does with ten thousand, then your operations can grow without worrying
9/9/2009 2:36:00 PM

Developing a Universal Approach to Cleansing Customer and Product Data
Developing a Universal Approach to Cleansing Customer and Product Data. Find Free Proposal and Other Solutions to Define Your Acquisition In Relation To Cleansing Customer and Product Data. Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

APPLICATION OF DATA MINING: application connections and eases application integration. It also encourages developers to think in terms of supporting business processes as a set of services, rather than as a package of monolithic applications. The SOA approach supports any task that can be defined as a service. This concept not only applies to business process tasks, but also to data and system management tasks as well. This enables the tasks associated with a data quality program to be deployed as a set of services that can be
6/1/2009 5:10:00 PM

Data Quality: A Survival Guide for Marketing
Data Quality: a Survival Guide for Marketing. Find Free Blueprint and Other Solutions to Define Your Project In Relation To Data Quality. The success of direct marketing, measured in terms of qualified leads that generate sales, depends on accurately identifying prospects. Ensuring data accuracy and data quality can be a big challenge if you have up to 10 million prospect records in your customer relationship management (CRM) system. How can you ensure you select the right prospects? Find out how an enterprise information management (EIM) system can help.

APPLICATION OF DATA MINING: procedures, or just faulty application design. The results of a data quality assessment often uncover process issues as you work through the cause and effect. The assessment exposes the effect, and it’s a relatively simple matter for the marketing manager to backtrack through the data distribution chain to, for example, the account management system and verify field edits are being used or enforced. A data quality assessment is something marketing managers can do themselves, especially if they have an
6/1/2009 5:02:00 PM

Why Systems Fail - The Dead-end of Dirty Data
If your data does not reflect reality, the system can never be effective. In today’s world of collaboration, showing a trading partner dirty data is giving them the wrong message and tearing down the trust called for in a collaborating partnership.

APPLICATION OF DATA MINING: in two places (two applications or even two systems) and they do not agree one of the two or maybe both are dirty. One rule of having the same piece of data in two places is — identical data isn t . How does it get dirty? There are many reasons why a piece of data may be dirty. The data or the transaction causing a change in the data may have been inaccurately recorded. In the case of our inventory example, one of the potentially many transactions that change the on-hand data could have been
7/4/2003

Mining and Quarrying ERP Accreditation Report: Eclipse Computing Pty Ltd
Mining and quarrying organizations seeking the services of a value-added reseller (VAR), channel partner, implementer, vendor, or consultant require an evaluation of what this service provider has to offer. This report assists organizations looking to determine the best-fit service provider for their needs. Based on information provided to TEC by Microsoft reseller Eclipse Computing, this report focuses on real-life implementation projects delivered by Eclipse Computing to three of its existing clients.

APPLICATION OF DATA MINING: Mining and Quarrying ERP Accreditation Report: Eclipse Computing Pty Ltd Mining and Quarrying ERP Accreditation Report: Eclipse Computing Pty Ltd Source: Technology Evaluation Centers Document Type: Accreditation Report Description: Mining and quarrying organizations seeking the services of a value-added reseller (VAR), channel partner, implementer, vendor, or consultant require an evaluation of what this service provider has to offer. This report assists organizations looking to determine the best-fit
11/30/2010 1:05:00 PM

Teradata Introduces Unified Data Environment » The TEC Blog
Project Failures ITBusinessEdge Enterprise Applications blog Laurie McCabe s Blog Logistics ViewPoints blog Manufacturing Operations blog Microsoft s Dynamics CRM Team blog Microsoft s Supply Chain blog Modern Materials Handling blog Next Gen Enterprise On-Demand Sales Performance Management blog Optimal SAP blog OracleApps Epicenter Pegasystems blog PGreenblog ProcessGenie Architect and Analyst Blog ProcessGenie Line Of Business Blog Retail s BIG Blog Service Matters Siemens PLM Software Blog Sixteen

APPLICATION OF DATA MINING: aster, big data, big data appliance, hadoop, industry watch, Teradata, unified data environment, viewpoint, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
24-10-2012

Mining Diamonds, Finding Gold
A man leaves his farm in search of the richest diamond mine in the world only to die penniless when, all along, unknown to him, his own land was rich with the jewels he longed to find. That’s the fable at the heart of AXA Equitable’s ongoing successful marketing program called Mining Diamonds. And the customer intelligence behind the program? SAS. Read the full story now.

APPLICATION OF DATA MINING: contact software,   crm applications,   crm software small business,   crm systems,   compare crm software,   crm programs,   business intelligence software Source: SAS Learn more about SAS Readers who downloaded this case study also read these popular documents! Does Android Dream of Enterprise Adoption? Analyst Reports: Pricing and Requirements Profile CRM: Big is Not Always the Best Taking Measures for True Success: How to Choose Software That Meets Your Needs Mistakes in Performance Management
5/19/2011 10:46:00 AM

Eliminating Mining Industry Profitability Killers through a Common Decision Environment
Mining corporations and their operating units are under constant pressure to improve financial performance. Efforts to become financially healthy are hampered by the operational profitability killers embedded in traditional processes. Find out how technology-supported collaborative decision making drives key efficiencies at all stages of the asset lifecycle, from planning and construction through production and into decommissioning.

APPLICATION OF DATA MINING: Eliminating Mining Industry Profitability Killers through a Common Decision Environment Eliminating Mining Industry Profitability Killers through a Common Decision Environment Source: Wipro Technologies Document Type: White Paper Description: Mining corporations and their operating units are under constant pressure to improve financial performance. Efforts to become financially healthy are hampered by the operational profitability killers embedded in traditional processes. Find out how
8/2/2011 3:58:00 PM

The New Virtual Data Centre
Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward.

APPLICATION OF DATA MINING: Paper Description: Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward. The New Virtual Data Centre style= border-width:0px; />   comments powered
2/3/2011 8:58:00 AM

Data Migration Best Practices
Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce the risks and costs associated with these projects. This paper offers a handy checklist of issues to consider before, during, and after migration.

APPLICATION OF DATA MINING: Data Migration Best Practices Data Migration Best Practices Source: Globanet Document Type: White Paper Description: Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce the risks and costs associated with these projects. This paper offers a handy checklist of issues to consider before, during, and after migration. Data Migration Best Practices style= border-width:0px; />   comments powered by
8/8/2013 1:47:00 PM


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