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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 business 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:
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 business 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:
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 business data quality:
... It also means a greater emphasis on processes and tools used to assure data quality.
Discover what business and IT executives are doing to address these data ...
Published:
2010-05-19
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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 business 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:
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 business 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:
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 business 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:
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 business 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:
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 business data quality:
... Type: White Paper Description: A well designed business intelligence (BI)
solution provides ... as well as data integration and data quality
issues. ...
Published:
2010-06-02
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Abstract:
Improve data mart and business intelligence (BI) consolidation with Teradata and SAP BusinessObjects platforms.Download free
white papers! Making information broadly and easily available to more users throughout an organization—and beyond the organization
to customers, partners, and stakeholders—has n (...)
Excerpt related to
bi business data quality:
Improve data mart and business intelligence (BI) consolidation with Teradata and SAP BusinessObjects platforms.Download free
white papers! Making i...
Published:
2010-03-11
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Abstract:
Many business intelligence (BI) projects fall short of expectations. Unless organizations implement a methodology and benchmark
the success other organizations have experienced, BI implementations may fail to provide the desired results. This article
identifies five steps organizations should take when i (...)
Excerpt related to
bi business data quality:
Many business intelligence (BI) projects fall short of expectations. Unless organizations implement a methodology and benchmark
the success other ...
Published:
2009-09-11
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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 business 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:
There is a perception that if business users are given access to enterprise databases and raw query tools, they will create
havoc in the system, which is a possibility—unless the business intelligence (BI) product developer understands the potential
problem and addresses it as a business-critical facto (...)
Excerpt related to
bi business data quality:
There is a perception that if business users are given access to enterprise databases and raw query tools, they will create
havoc in the system, w...
Published:
2005-07-15
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Abstract:
As organizations face a pressing need to rationalize the cost of enterprise software, open source business intelligence (BI)
is fast becoming a viable alternative. Learn about the current state of open source BI, with particular focus on one vendor's
products. (...)
Excerpt related to
bi business data quality:
As organizations face a pressing need to rationalize the cost of enterprise software, open source business intelligence (BI)
is fast becoming a vi...
Published:
2009-07-17
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Abstract:
Data analysis is critical to your company’s survival. But efforts to collect data about your organizational processes, financial
situation, and business performance—and consolidate and analyze it—are hampered by inconsistent data sources,
problems with data quality, and a lack of clarity ab (...)
Excerpt related to
bi business data quality:
... organizational processes, financial situation, and business performance—and ...
data sources, problems with data quality, and a ... the
ways companies use BI and BI ...
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
bi business 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:
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 business 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:
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business
data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational
data challenges today is to combine (...)
Excerpt related to
bi business data quality:
... Description: Nearly half of all US companies have serious data quality
issues. The problem is that most are not thinking about their business data as being ...
Published:
2010-03-11
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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
bi business data quality:
... 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:
TEC product certification report: SAP BusinessObjects Edge BI. Read IT reports in relation to business intelligence. SAP's
business intelligence solution, SAP BusinessObjects Edge BI, is now TEC Certified. The certification seal is a valuable indicator
for organizations who rely on the integrity of TEC’ (...)
Excerpt related to
bi business data quality:
SAP BusinessObjects Edge BI for Business Intelligence Certification Report. Source: Technology
Evaluation Centers. Document Type: Certification ...
Published:
2010-03-12
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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 business data quality:
... use across departments, data warehouses and silos, Metagenix's CDQM tool works by
applying specific business rules as a continuous check of data quality.
...
Published:
2002-10-18