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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 bi:
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:
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 bi:
... and equipped with the best tools for business intelligence (BI), users will encounter
inefficiency and frustration if the quality of data is compromised. ...
Published:
2009-07-17
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Abstract:
A well designed business intelligence (BI) solution provides users with a self-service environment that matches their decision-making
processes. At the same time, it frees IT groups from ongoing development duties, enabling them to focus on systems management
and maintenance issues, as well as data integ (...)
Excerpt related to
data quality bi:
... systems management and maintenance issues, as well as data integration and data
quality issues. This IDC report assesses how QlikTech’s BI solution addresses ...
Published:
2010-06-02
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Abstract:
Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality
serves as the foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management
(CRM) projects. Learn more about software that unifie (...)
Excerpt related to
data quality bi:
... Data quality serves as the foundation for business intelligence (BI),
enterprise resource planning (ERP), and customer relationship management (CRM) projects. ...
Published:
2010-03-11
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Abstract:
A big topic in business intelligence (BI) is the importance of “data quality”–cleaning data so that errors and inconsistencies
are eliminated as much as possible. But what many users don’t realize is that this is just a part of a larger problem: How
do you get the most out of business-relevant da (...)
Excerpt related to
data quality bi:
A big topic in business intelligence (BI) is the importance of “data quality”–cleaning
data so that errors and inconsistencies are eliminated as m... ...
Published:
2010-10-04
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Excerpt related to
data quality bi:
... This product can fit very well in the BI life cycle process because it can address data
quality issues and problems in a fast manner, as well as it creates and ...
Published:
2010-06-11
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Abstract:
There are two types of extract transform and load (ETL) vendors. Business intelligence (BI) vendors integrate ETL functionality
into their overall BI framework, while best-of-breed data integration vendors, who provide enhanced ETL functionality, have
an increased focus on data cleansing and integrity. (...)
Excerpt related to
data quality bi:
There are two types of extract transform and load (ETL) vendors. Business intelligence (BI) vendors integrate ETL functionality
into their overall...
Published:
2006-03-07
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Excerpt related to
data quality bi:
Nov. 19. Google Takes on the Data Quality Space with Its New Refine 2.0 Product. Filed Under
(BI and Performance Management, Industry Observation) by Jorge Garcia ...
Published:
2010-11-19
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Abstract:
Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems. (...)
Excerpt related to
data quality bi:
... You need high quality data in your business intelligence (BI)
system to facilitate effective analysis—to make the right decisions at the right time. ...
Published:
2010-10-21
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Abstract:
Turning piles of data into timely, actionable information dominates business and IT agendas. This new focus means companies
must think strategically about information management in order to contain costs and retain their competitive advantage. It
also means a greater emphasis on processes and tools used (...)
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data quality bi:
... competitive advantage. It also means a greater emphasis on processes and tools used to assure data
quality. Discover what business ...
Published:
2010-05-19
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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 bi:
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:
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 (...)
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data quality bi:
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:
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. (...)
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data quality bi:
Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics Part
2: One Solution. ... Data quality must be a constant commitment. ...
Published:
2002-10-18
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Abstract:
Controlling your company’s key information through data governance is more than just good practice—it can make the difference
between success and failure at meeting compliance requirements and at arming your organization with a competitive edge. (...)
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data quality bi:
Controlling your company’s key information through data governance is more than just good practice—it can make the difference
between success and ...
Published:
2007-12-04
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Abstract:
With business intelligence (BI), decision-makers can feel the organization’s pulse, evaluate the performance of key business
functions, and take action based on their analysis. However, many organizations invest time, money, and resources in BI processes,
only to waste their newfound capabilities. Why? (...)
Excerpt related to
data quality bi:
... Source: Hitachi Consulting. Document Type: White Paper Description: With business intelligence (BI),
decision-makers can feel the organization’s pulse ...
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 bi:
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:
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives,
organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business
processes, provide data transparency, and improve cus (...)
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data quality bi:
Data Quality Trends and Adoption. Source: SAP. Document ... goals and drivers.
Download <strong>Data Quality Trends and Adoption</strong>. Comments: ...
Published:
2011-03-22
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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 bi:
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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Excerpt related to
data quality bi:
... To us, this is a vital part of the BI process –and implementations fail mostly due to
unreliable data. Data quality “on the fly” is a tricky business. ...
Published:
2009-07-22
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Abstract:
Some four decades after early “data processing strategists” realized the importance of a comprehensive, manageable approach
to truly integrated information, the typical organization is no closer to achieving those objectives. The question must be
asked, then: will we ever achieve true, well-architect (...)
Excerpt related to
data quality bi:
... Source: Business Objects. Document Type: White Paper Description: Some four decades after early “data
processing strategists” realized the importance of a ...
Published:
2010-03-11