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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 analysis:
... data warehousing or business intelligence project, it is essential for organizations
to emphasize the quality of data that is used for analysis and subsequent
...
Published:
2009-07-17
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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 analysis:
... Data becomes information when it is used in analysis upon which decisions
are made. Data quality problems result in bad information, necessarily leading to bad ...
Published:
2002-10-18
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Abstract:
Successful e-commerce relies on intelligible, trustworthy content. To achieve this, companies need a complete solution at
their back- and front-ends, so they can harness and leverage their data and maximize the return on their e-commerce investment. (...)
Excerpt related to
data quality analysis:
Successful e-commerce relies on intelligible, trustworthy content. To achieve this, companies need a complete solution at
their back- and front-e...
Published:
2003-01-04
-
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 analysis:
... Data becomes information when it is used in analysis upon which decisions
are made. Data quality problems result in bad information, necessarily leading to bad ...
Published:
2002-10-18
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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 analysis:
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:
Successful e-commerce relies on intelligible, trustworthy content. To achieve this, companies need a complete solution at
their back- and front-ends, so they can harness and leverage their data and maximize the return on their e-commerce investment. (...)
Excerpt related to
data quality analysis:
Successful e-commerce relies on intelligible, trustworthy content. To achieve this, companies need a complete solution at
their back- and front-e...
Published:
2003-01-04
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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
data quality analysis:
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:
This BI article looks at why and how in-memory technology transforms analytic applications. The primary bottleneck to high-performance
multidimensional analysis has been slow hard drive speed—the time it takes for data to be transferred from disk storage to
random access memory (RAM). With crashing RAM (...)
Excerpt related to
data quality analysis:
... systems to discover data and prepare it for real-time analysis without
disrupting ... The value of a traditional data warehouse with a data quality
strategy and a ...
Published:
2010-09-01
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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 analysis:
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:
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 analysis:
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:
Informix, a leader in data warehousing and business intelligence software, has developed an application named i. Decide Web
Success that promises to provide dot-coms and clicks-and-mortar organizations with a database independent platform for analyzing
their web data. (...)
Excerpt related to
data quality analysis:
Informix, a leader in data warehousing and business intelligence software, has developed an application named i. Decide Web
Success that promises ...
Published:
2000-10-13
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Excerpt related to
data quality analysis:
... In addition, it can collect various data from these external sources (for ...
or the specifications of the feed they were fed) to allow quality analysis going from ...
Published:
2008-06-02
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Abstract:
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be
able to discover valuable data. Consequently, data mining technology becomes important. Here is a framework to help understand
the data mining process. (...)
Excerpt related to
data quality analysis:
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be
able to discover valuab...
Published:
2009-06-19
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Abstract:
Quality does not start at the receiving dock and end at the shipping dock. The focus on the supply chain demands that the
quality department be involved from the beginning to the end of the supply chain. (...)
Excerpt related to
data quality analysis:
Quality does not start at the receiving dock and end at the shipping dock. The focus on the supply chain demands that the
quality department be in...
Published:
2006-01-20
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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 analysis:
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:
thinkAnalytics signs a partnering agreement with one of the largest information technology services companies in North America.
Why does CGI expect thinkAnalytics’ software to make a difference to its customers? (...)
Excerpt related to
data quality analysis:
thinkAnalytics signs a partnering agreement with one of the largest information technology services companies in North America.
Why does CGI expe...
Published:
2000-09-22
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Abstract:
Commerce One has partnered with Sagent Technology to add analytic tools to its enterprise e-purchasing application. Also,
Ariba has partnered with Informatica to add analytic tools to its enterprise e-purchasing application. (...)
Excerpt related to
data quality analysis:
Commerce One has partnered with Sagent Technology to add analytic tools to its enterprise e-purchasing application. Also,
Ariba has partnered with...
Published:
2000-07-20
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Abstract:
Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications,
analytic applications and data warehouses, including a wide range of data sources, from enterprise resource planning (ERP)
systems such as SAP R/3 and PeopleSoft, to web log (...)
Excerpt related to
data quality analysis:
... The emphasis is on the fast, since generating useful aggregated data for analytical
analysis in a reasonable (read really short) amount of time requires ...
Published:
2001-04-05
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Abstract:
IQMS appears to be raising the competitive bar for quality management among its ERP competition with a single database software
solution and seamless ERP systems access. (...)
Excerpt related to
data quality analysis:
IQMS appears to be raising the competitive bar for quality management among its ERP competition with a single database software
solution and seaml...
Published:
2005-04-07
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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
data quality analysis:
Many business intelligence (BI) projects fall short of expectations. Unless organizations implement a methodology and benchmark
the success other ...
Published:
2009-09-11