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Abstract:
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing
a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed. (...)
Excerpt related to
data quality issues cleansing:
... Data quality functions fall into three categories: data
profiling, to analyze and identify quality issues; data cleansing,
to correct and standardize data in ...
Published:
2009-07-17
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Abstract:
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 hinde (...)
Excerpt related to
data quality issues cleansing:
Six Steps to Manage Data Quality with SQL Server Integration Services. Read IT Reports Associated with Data quality. Without
data that is reliable,...
Published:
2010-03-11
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Abstract:
Most enterprises fight fires with axes, fire hoses, trucks, and hordes of firemen, but the CDQM approach is a smoke detector.
It’s far less expensive to put a fire out when it’s just smoldering, rather than to extinguish a blazing house fire and then
remodel the entire house. (...)
Excerpt related to
data quality issues cleansing:
... data quality initiative, look at it as a massive data-cleansing
project that ... Huntington from several real-world companies whose data quality
issues almost did ...
Published:
2002-10-18
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Abstract:
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 (...)
Excerpt related to
data quality issues cleansing:
Data Quality: a Survival Guide for Marketing. Find Free Blueprint and Other Solutions to Define Your Project In Relation To
Data Quality. The succe...
Published:
2010-03-11
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Abstract:
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 maxim (...)
Excerpt related to
data quality issues cleansing:
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 st...
Published:
2010-03-11
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Abstract:
Success start with data quality strategy: a step-by-step approach.Read Technology Evaluation Centers (TEC) whitepapers. To
realize the full 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 ho (...)
Excerpt related to
data quality issues cleansing:
Success start with data quality strategy: a step-by-step approach.Read Technology Evaluation Centers (TEC) whitepapers. To
realize the full benefit...
Published:
2010-03-11
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Abstract:
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 (...)
Excerpt related to
data quality issues cleansing:
Developing a Universal Approach to Cleansing Customer and Product Data. Find Free Proposal and Other Solutions to Define Your
Acquisition In Relati...
Published:
2010-03-11
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Abstract:
No matter how well an enterprise implements a CRM, ERP, SCM, Business Intelligence, or Data Warehouse project, poor data
quality can destroy its utility and cost real dollars. (...)
Excerpt related to
data quality issues cleansing:
No matter how well an enterprise implements a CRM, ERP, SCM, Business Intelligence, or Data Warehouse project, poor data quality
can destroy its u...
Published:
2002-10-17
-
Abstract:
Most enterprises fight fires with axes, fire hoses, trucks, and hordes of firemen, but the CDQM approach is a smoke detector.
It’s far less expensive to put a fire out when it’s just smoldering, rather than to extinguish a blazing house fire and then
remodel the entire house. (...)
Excerpt related to
data quality issues cleansing:
... data quality initiative, look at it as a massive data-cleansing
project that ... Huntington from several real-world companies whose data quality
issues almost did ...
Published:
2002-10-18
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Abstract:
Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can
be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and
you are trying to target the right prospect. Data quality, (...)
Excerpt related to
data quality issues cleansing:
Data Quality: A Survival Guide for Marketing. ... Read more. Download <strong>Data
Quality: A Survival Guide for Marketing </strong>. Comments: ...
Published:
2011-03-16
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Abstract:
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 (...)
Excerpt related to
data quality issues cleansing:
Data Quality Strategy: A Step-by-Step Approach. Source: SAP. Document ...
But what goes into a data quality strategy? This paper from ...
Published:
2011-03-16
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Abstract:
Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy.
Looking beyond general approaches and company policies that set expectations and establish data management procedures, we
will explore applications and tools that help reduce the negat (...)
Excerpt related to
data quality issues cleansing:
Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy.
Looking beyond general ap...
Published:
2004-03-08
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Abstract:
Evoke Software Corporation has announced the release of Axio™, an e-business integration product designed to web-enable multiple
different data sources into a unified view of a business. The product has a very intriguing method of metadata scanning,
and should have significant market impact. (...)
Excerpt related to
data quality issues cleansing:
Evoke Software Corporation has announced the release of Axio™, an e-business integration product designed to web-enable multiple
different data so...
Published:
2000-06-27
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Abstract:
Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these
root causes. The cost of high data quality is low, and the short- and long-term benefits are great. (...)
Excerpt related to
data quality issues cleansing:
... regarding materials scheduling revealed the crucial data quality issues:
... be held accountable for data cleansing and quality
... The cost of high data quality is low ...
Published:
2003-11-26
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Abstract:
Achieving a Successful Data Migration. Solutions and Other Software to Delineate Your System and for Achieving a Successful
Data Migration. The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade.
Without separate metrics for migration, data migrati (...)
Excerpt related to
data quality issues cleansing:
Achieving a Successful Data Migration. Solutions and Other Software to Delineate Your System and for Achieving a Successful
Data Migration. The dat...
Published:
2010-03-11
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Abstract:
Four Critical Success Factors to Cleansing Data. Find Guides, Case Studies, and Other Resources Linked to 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 im (...)
Excerpt related to
data quality issues cleansing:
Four Critical Success Factors to Cleansing Data. Find Guides, Case Studies, and Other Resources Linked to Four Critical Success
Factors to Cleansin...
Published:
2010-03-11
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Abstract:
The 2002 Sarbanes-Oxley Act (SOX) has affected organizations, their data, and their reporting processes, putting a strain
on how their financials are managed. Business intelligence solutions provide answers to these issues, allowing organizations
to address SOX compliancy. (...)
Excerpt related to
data quality issues cleansing:
The 2002 Sarbanes-Oxley Act (SOX) has affected organizations, their data, and their reporting processes, putting a strain
on how their financials ...
Published:
2006-04-06
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Abstract:
Optimizing Gross Margin over Continously Cleansed Data.Reports and Other Software System to Use In Your System for Optimizing
Gross Margin over Continously Cleansed Data. Imperfect product data can erode your gross margin, frustrate both your customers
and your employees, and slow new sales opportunities. (...)
Excerpt related to
data quality issues cleansing:
Optimizing Gross Margin over Continously Cleansed Data.Reports and Other Software System to Use In Your System for Optimizing
Gross Margin over Con...
Published:
2010-03-11
-
Abstract:
No matter how well an enterprise implements a CRM, ERP, SCM, Business Intelligence, or Data Warehouse project, poor data
quality can destroy its utility and cost real dollars. (...)
Excerpt related to
data quality issues cleansing:
No matter how well an enterprise implements a CRM, ERP, SCM, Business Intelligence, or Data Warehouse project, poor data quality
can destroy its u...
Published:
2002-10-17
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Abstract:
During September, two more data warehousing vendors announced product suites that they claim offer broader integration between
different data warehousing technologies. BI vendor Cognos announced "Cognos platform", a tool to build complete "BI-ready
data infrastructures". Data Movement vendor Ardent Softw (...)
Excerpt related to
data quality issues cleansing:
During September, two more data warehousing vendors announced product suites that they claim offer broader integration between
different data ware...
Published:
1999-09-29