-
Abstract:
Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy.
Looking beyond general approaches and company policies that set expectations and establish data management procedures, we
will explore applications and tools that help reduce the negat (...)
Excerpt related to
data quality research:
Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy.
Looking beyond general ap...
Published:
2004-03-08
-
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 research:
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:
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 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
-
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 research:
Distilling Data: The Importance of Data Quality in Business Intelligence.
... Data quality issues can certainly be minimized in data
sources. ...
Published:
2009-07-17
-
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 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
-
Abstract:
". As business pressures increase, more and more midsized and large organizations are looking to DQ solutions to... (...)
Excerpt related to
data quality research:
Data Quality Trends and Adoptions. ... Download your PDF copy of Data
Quality Trends and Adoptions today. For assistance, please contact customer service. ...
Published:
2011-08-23
-
Abstract:
Data quality sounds like a motherhood and apple pie issue, of course we want our data to be right. However, very few enterprises
get serious about it. Maybe that's because the cost of data quality is hidden. That cost can be huge. (...)
Excerpt related to
data quality research:
Poor Data Quality Means A Waste of Money. Olin Thompson - September 23, 2003. Comments:
0. Read Comments What Is Data Quality? ...
Published:
2003-09-23
-
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
data quality research:
... global data management software company, today announced a strategic partnership with
Firstlogic, Inc., the developer of id.Centric data quality software that ...
Published:
1999-12-01
-
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 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
-
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 research:
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:
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 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
-
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 research:
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience.
Implementing CDI...
Published:
2009-09-11
-
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
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
-
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 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
-
Abstract:
Evoke Software Corporation has announced the release of Axio™, an e-business integration product designed to web-enable multiple
different data sources into a unified view of a business. The product has a very intriguing method of metadata scanning,
and should have significant market impact. (...)
Excerpt related to
data quality research:
Evoke Software Corporation has announced the release of Axio™, an e-business integration product designed to web-enable multiple
different data so...
Published:
2000-06-27
-
Abstract:
Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than
depending on the data dictionaries of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches
include an "open book" policy, which includes pub (...)
Excerpt related to
data quality research:
... This is a good way to encourage higher quality software when the ...
information about Evoke's offering see Evoke Software Releases Axio Data Integration Product ...
Published:
2001-02-15
-
Abstract:
Legacy data can be lethal to your expensive new application – two case studies and some practical recommendations. (...)
Excerpt related to
data quality research:
Legacy data can be lethal to your expensive new application – two case studies and some practical recommendations.
Published:
2002-08-23
-
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 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
-
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
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
-
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
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