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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 management:
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:
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 management:
... But in many companies, data quality management has
not kept pace with the growth of data integration projects, and its use is immature. ...
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 management:
... 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 data quality management:
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:
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 management:
... tools for business intelligence (BI), users will ... necessary tools
and processes for master data management. ... Data quality
issues can certainly be minimized in ...
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
bi data quality management:
Continuous Data Quality Management: The Cornerstone of Zero-Latency Business
Analytics Part 2: One Solution. CEO, Greg Leman, Inc ...
Published:
2002-10-18
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Abstract:
Information chaos is one of the primary sources of inefficiency and waste for knowledge workers. So how do you improve efficiency
and make more informed decisions? There’s a new direction in content management policy that can help: semantics-based search
tools that go beyond just the “find” functio (...)
Excerpt related to
bi data quality management:
... categorize, analyze, and extract meaningful information from unstructured data and texts.
Download <strong>Quality and Value in the Management of Unstructured ...
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 management:
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:
It’s common to hear that master data management (MDM) projects are difficult to initiate. But pairing up an MDM project with
another initiative already on your organization’s priority list might be easier than you think. Find out some of the basics
surrounding MDM itself, including what MDM can refer (...)
Excerpt related to
bi data quality management:
Master Data Management. Source: Skura Corp. Document ... momentum in your
organization. Download <strong>Master Data Management</strong>. Comments: ...
Published:
2010-03-11
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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 management:
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:
Master Data Management: Extracting Value from Your Most Important Intangible Asset. Secure Documents and Other Software Program
to Use In Your Complex System and Your Master Data Management. In a 2006 SAP survey, 93 percent of respondents experienced
data management issues during their most recent project (...)
Excerpt related to
bi data quality management:
... MDM SOA, MDM BI, MDM Solution, master data management
data warehouse, master data management challenge, Data
Quality Integration, Master Data Management ...
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 data quality management:
... new focus means companies must think strategically about information management in order
... a greater emphasis on processes and tools used to assure data quality.
...
Published:
2010-05-19
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Abstract:
Some four decades after early “data processing strategists” realized the importance of a comprehensive, manageable approach
to truly integrated information, the typical organization is no closer to achieving those objectives. The question must be
asked, then: will we ever achieve true, well-architect (...)
Excerpt related to
bi data quality management:
... Information Management: Tentative Past, Promising Future. Source: Business Objects.
Document Type: White Paper Description: Some four decades after early “data ...
Published:
2010-03-11
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Abstract:
Monitoring, measuring, and reporting on the financial health of a company is a basic need that requires effective tools and
processes to optimize the end result. Underpinning this is the requirement for planning capabilities, using scenario and what-if
analysis with simulations and other forward-looking (...)
Excerpt related to
bi data quality management:
Enterprise Pereformance Management. Source: Quocirca ... to do. Download <strong>Enterprise
Pereformance Management</strong>. Comments: ...
Published:
2010-03-11
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Abstract:
You may not have heard of master data management (MDM), but it can help an organization cut costs while strengthening its
sales and marketing efforts. Find out how MDM can help boost your company's bottom line in this latest podcast. (...)
Excerpt related to
bi data quality management:
... am the senior research analyst for business intelligence [BI] and performance ...
of companies understand the importance of high quality master data and the ...
Published:
2007-10-03
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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 management:
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience.
Implementing CDI...
Published:
2009-09-11
-
Excerpt related to
bi data quality management:
... a fully integrated enterprise data quality data management
software product ... can help companies discover data problems with ...
fit very well in the BI life cycle ...
Published:
2010-06-11
-
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 management:
Siperian's master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage,
and customize customer...
Published:
2007-03-23
-
Excerpt related to
bi data quality management:
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
-
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 management:
During September, two more data warehousing vendors announced product suites that they claim offer broader integration between
different data ware...
Published:
1999-09-29