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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 research:
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 research:
... 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:
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 research:
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:
Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems. (...)
Excerpt related to
bi data quality research:
... 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:
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 research:
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:
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 research:
... Source: Focus Research. Document Type: White Paper Description: A big topic in business
intelligence (BI) is the importance of “data quality”–cleaning ...
Published:
2010-10-04
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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 data quality research:
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:
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 research:
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:
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 research:
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:
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 research:
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:
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 research:
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:
WESTBORO, Mass., November 29, 1999 - Ardent Software, Inc. (Nasdaq: ARDT) today announced a strategic partnership with Firstlogic,
Inc., the developer of i.d.Centric data quality software that helps companies cleanse and consolidate data in database marketing,
data warehousing, and e-business application (...)
Excerpt related to
bi data quality research:
... depend on extensive data quality assurance ... vice
president of data warehouse marketing ... the most comprehensive Business Intelligence (BI)
Infrastructure solution ...
Published:
1999-12-01
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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 data quality research:
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:
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
bi data quality research:
During September, two more data warehousing vendors announced product suites that they claim offer broader integration between
different data ware...
Published:
1999-09-29
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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 data quality research:
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:
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 research:
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:
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
bi data quality research:
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:
Application erosion is real and it has a significant impact on the long-term value of technology. It can have various causes,
but there is a possible solution to each one of them. (...)
Excerpt related to
bi data quality research:
Application erosion is real and it has a significant impact on the long-term value of technology. It can have various causes,
but there is a possi...
Published:
2005-03-26
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Abstract:
In addition to products' rationalization, the integration at sales and cultural levels will be challenging. In general, existing
customers of involved merging vendors should be alert, but they should still look at these events as positive. (...)
Excerpt related to
bi data quality research:
In addition to products' rationalization, the integration at sales and cultural levels will be challenging. In general,
existing customers of invo...
Published:
2003-08-18
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Abstract:
Although the recent spate of acquisitions in the business intelligence market, especially marked with Business Object’s acquisition
of Crystal, Hyperion’s acquisition of Brio, and Actuate’s acquisition of Nimble, may bear resemblance to the raging consolidation
in the ERP market, the underlying rea (...)
Excerpt related to
bi data quality research:
Although the recent spate of acquisitions in the business intelligence market, especially marked with Business Object’s acquisition
of Crystal, Hy...
Published:
2003-08-17