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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
bi data quality:
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
bi data quality:
... 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:
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
bi data quality:
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:
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
bi data quality:
... 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:
Rising data volume is not the only reason companies are concerned with issues of data integration and data quality. The growing
numbers of disparate systems that produce and distribute data add to the complexity. But in many companies, data quality management
has not kept pace with the growth of data int (...)
Excerpt related to
bi data quality:
... SAP. Document Type: White Paper Description: Rising data volume is not the only reason
companies are concerned with issues of data integration and data quality.
...
Published:
2010-03-11
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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
bi data quality:
... 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:
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
bi data quality:
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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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
bi data quality:
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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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 (...)
Excerpt related to
bi data quality:
... 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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Excerpt related to
bi data quality:
... 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:
Business intelligence (BI) solutions can help businesses to become more intelligent about key operations and processes. But
BI solutions are only as valuable as the data that is fed into them and the key performance indicators (KPIs) they monitor.
Well-chosen KPIs and quality data ensure that BI solution (...)
Excerpt related to
bi data quality:
... they monitor. Well-chosen KPIs and quality data ensure that BI
solutions generate reliable, actionable information. Find out how ...
Published:
2011-07-29
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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
bi data quality:
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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Excerpt related to
bi data quality:
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:
Siperian's master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage,
and customize customer-related data. The type of CDI hub implemented depends on the CDI environment's maturity, requirements,
and alignment with an organization's internal processes (...)
Excerpt related to
bi data quality:
Siperian's master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage,
and customize customer...
Published:
2007-03-23
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Abstract:
Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems. (...)
Excerpt related to
bi data quality:
... 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:
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience.
Implementing CDI within a customer relationship management initiative can help provide organizations with a successful framework
to manage data on a continuous basis. (...)
Excerpt related to
bi data quality:
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience.
Implementing CDI...
Published:
2009-09-11
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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. (...)
Excerpt related to
bi data quality:
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:
Oracle Database 11g for Data Warehousing and Business Intelligence. Find RFP Templates and Other Solutions to Define Your
Project In Relation To Oracle Database, Data Warehousing and Business Intelligence. Oracle Database 11g is a database platform
for data warehousing and business intelligence (BI) that (...)
Excerpt related to
bi data quality:
Oracle Database 11g for Data Warehousing and Business Intelligence. Find RFP Templates and Other Solutions to Define Your
Project In Relation To Or...
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
bi data quality:
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:
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
bi data quality:
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