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Documents related to » abstract on 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.

ABSTRACT ON DATA MINING: Six Steps to Manage Data Quality with SQL Server Integration Services Six Steps to Manage Data Quality with SQL Server Integration Services Source: Melissa Data Document Type: White Paper Description: 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
9/9/2009 2:32:00 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.

ABSTRACT ON DATA MINING: Data Quality: A Survival Guide for Marketing Data Quality: A Survival Guide for Marketing Source: SAP Document Type: White Paper Description: 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
6/1/2009 5:02:00 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.

ABSTRACT ON DATA MINING: Scalable Data Quality: A Seven-step Plan for Any Size Organization Scalable Data Quality: A Seven-step Plan for Any Size Organization Source: Melissa Data Document Type: White Paper Description: 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
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.

ABSTRACT ON DATA MINING: Developing a Universal Approach to Cleansing Customer and Product Data Developing a Universal Approach to Cleansing Customer and Product Data Source: SAP Document Type: White Paper Description: 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
6/1/2009 5:10:00 PM

Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization
Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization. Search for IT Report or IT Guide for a Network Data Protection Playbook. Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches increase, companies must find ways to protect data beyond the perimeter of their businesses. But how do they build a data-defensible architecture that will protect data on an ever-evolving network? The answer: by first developing an in-depth defense strategy.

ABSTRACT ON DATA MINING: Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization Source: CipherOptics Document Type: White Paper Description: Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches increase, companies must find ways to protect data beyond the perimeter of their businesses.
7/20/2007 1:32:00 PM

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.

ABSTRACT ON 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

Got Big Data? Net Big Dollars!
Data is growing at unprecedented rates. Data on customers, producers, underwriting, claims, and service providers is just part of the picture. This increase is being driven by social media and mobile devices adding text and other nonstructured, as well as structured, data. Read this report to find out about the tremendous payback that comes from managing huge repositories of data.

ABSTRACT ON DATA MINING: Got Big Data? Net Big Dollars! Got Big Data? Net Big Dollars! Source: Mindshare Technologies Document Type: White Paper Description: Data is growing at unprecedented rates. Data on customers, producers, underwriting, claims, and service providers is just part of the picture. This increase is being driven by social media and mobile devices adding text and other nonstructured, as well as structured, data. Read this report to find out about the tremendous payback that comes from managing huge repositories of
2/11/2013 1:26:00 PM

Data Storage in the Cloud—Can you Afford Not To?
Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage.

ABSTRACT ON DATA MINING: Data Storage in the Cloud—Can you Afford Not To? Data Storage in the Cloud—Can you Afford Not To? Source: Riverbed Technology Document Type: White Paper Description: Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or
7/12/2011 2:19:00 PM

Poor Data Quality Means A Waste of Money
Data quality sounds like a motherhood and apple pie issue, of course we want our data to be right. However, very few enterprises get serious about it. Maybe that's because the cost of data quality is hidden. That cost can be huge.

ABSTRACT ON DATA MINING: Poor Data Quality Means A Waste of Money Poor Data Quality Means A Waste of Money Olin Thompson - September 23, 2003 Read Comments What Is Data Quality? When reality and the data in your system do not agree, you have a data quality problem. The system says you have 10,000 cases but you actually have 9,850. A customer s ship-to address is out of date. You have the same piece of information in two places in two applications or even two systems, but they do not agree. Many things can cause data quality
9/23/2003

Ask the Experts: Data Purging and System Migration » The TEC Blog
Ask the Experts: Data Purging and System Migration » The TEC Blog TEC Blog     TEC Home     About TEC     Contact Us     About the Bloggers     Follow TEC on Twitter    RSS   Discussing Enterprise Software and Selection --> Fast, Accurate Software Evaluations TEC helps enterprises evaluate and select software solutions that meet their exacting needs by empowering purchasers with the tools, research, and expertise to make an ideal decision. Your software selection starts here. Learn more

ABSTRACT ON DATA MINING: data purging, ERP, plm, system migration, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
05-09-2008

Data Center Projects: System Planning
System planning is the Achilles’ heel of a data center physical infrastructure project. Planning mistakes can propagate through later deployment phases, resulting in delays, cost overruns, wasted time, and a compromised system. These troubles can be eliminated by viewing system planning as a data flow model, with sequenced tasks that progressively transform and refine data from initial concept to final design. Learn more.

ABSTRACT ON DATA MINING: Data Center Projects: System Planning Data Center Projects: System Planning Source: APC by Schneider Electric Document Type: White Paper Description: System planning is the Achilles’ heel of a data center physical infrastructure project. Planning mistakes can propagate through later deployment phases, resulting in delays, cost overruns, wasted time, and a compromised system. These troubles can be eliminated by viewing system planning as a data flow model, with sequenced tasks that progressively
12/10/2008 9:35:00 AM


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