Data Quality - IT Library : ZDNet Asia

White Papers

Case Studies

Vendor Webcast

Show all content

Title Date Added Company

Understanding IBM Workplace Web Content Management software 2006-09-15 10:01:56 IBM

IBM® Workplace Web Content Management™ software is IBM's Web content management system offering. IBM Workplace Web Content Management software provides tools to apply business rules and processes to content, ensuring that specific information assets from across the enterprise are delivered intelligently via Web sites and portals to achieve business objectives.

Metadata and Data Quality Problems in the Digital Library 2007-01-23 01:00:26 University of Colorado

This paper describes the main types of data quality errors that occur in digital libraries, both in full-text objects and in metadata. Studying these errors is important because they can block access to online documents and because digital libraries should eliminate errors where possible. Some types of common errors include typographical errors, scanning and data conversion errors, and find and replace errors. Errors in metadata can also hinder access in digital libraries. The paper also discusses the responsibility for errors in digital documents and offers suggestions for managing digital library data quality.

Oracle Warehouse Builder 10gR2: Transforming Data Into Quality Information 2006-07-25 00:48:19 Oracle

This paper discusses the concepts of data quality, their importance in an enterprise as well as the distinct advantages of performing data quality processes inside a robust data integration product - Oracle Warehouse Builder. Oracle Warehouse Builder addresses the challenges of data quality by offering data assessment, data cleansing, data integration, and data monitoring in one tool. It promotes the disciplined approach to data quality by making data quality processes easily available in the same development environment as the regular data transformation processes. Warehouse Builder offers the flexibility and accuracy that data integration projects demand, yet at a low cost.

IBM's Banking Data Warehouse and Basel II 2007-02-21 10:39:53 IBM

Financial institutions are facing a series of related risk and compliance challenges. These include Basel II and IFRS/IAS. The pace of change driven by the compliance challenges will be different across financial institutions. However, there is now a general recognition that the long term direction of aligning economic and regulatory capital means that risk weighted asset and economic capital calculations should eventually become a key driving force for decisions within the financial institution. This white paper will outline the components of the Banking Data Warehouse (BDW) and how they assist financial institutions to address the data modeling and data consolidation issues relating to the Basel II Capital Accord.

Data Integration: Using ETL, EAI, and EII Tools to Create an Integrated Enterprise 2007-01-23 01:00:26 1105 Media

The objective of this white paper is to look at how data integration techniques, technologies, applications, and products have evolved since the 2003 report was published. The focus this paper is not only on the role of data integration in data warehousing projects, but also on developing an enterprisewide data integration strategy.

Dashboards and Scorecards: Linking Management Reporting to Execution 2005-10-30 Hyperion

Organizations are faced with new challenges, demands and competitors. Therefore, as the markets change and evolve, organizations are continuously looking at using new methods and tools to help them adapt, thrive in the current competitive environment, and execute effectively and efficiently. This white paper provides financial and IT managers with an overview of dashboards and scorecards: their benefits, strengths, and integration. It gives guidance on when to implement dashboards and/or scorecards based on the evolving strategy execution and management reporting requirements.

C&DS - IBM Content Management makes your company more competitive with Information On Demand 2006-09-15 10:02:51 IBM

Tightly integrating business information with processes and people is crucial in order to enhance productivity while extending information infrastructures to ensure consistent, high-quality customer service. Companies must ensure that information such as purchase histories and current portfolio activity is available to employees, distributors and customers, in real time. Learn how IBM Content Management can help you: improve productivity and maximize control of information, streamline compliance to address specific business needs, extend and leverage existing information assets, deliver content where it's needed, maximize return on information, curb database growth and manage compliance issues.

Upstream FEC Errors and SNR as Ways to Ensure Data Quality and Throughput 2006-10-06 01:00:15 Cisco Systems

To operate a High Speed Data (HSD) network over a Hybrid Fiber/Coaxial (HFC) cable plant requires a significant level of quality control to ensure data integrity and the highest level of data throughput. The two generally accepted means by which cable operators can measure data quality is by monitoring either the Bit Error Rate (BER) or the Packet Error Rate (PER). The Data Over Cable Service Interface Specification (DOCSIS) outlines requirements that each cable operator must maintain in order to reliably transport IP data traffic. An important feature of DOCSIS addresses the need to protect IP data against Radio Frequency (RF) noise impairments. The feature DOCSIS uses to help maintain IP data integrity over HFC cable plants is Reed-Solomon Forward Error Correction (FEC) encoding.

IT Optimization: Driving Infrastructure Value 2005-10-10 13:54:39

The changing (more critical) role of IT: at the heart of business.

From email to product development to customer relationship management, IT is now critical to virtually every aspect of business. The entire role of IT is evolving, as IT organizations are transformed into true service management functions.

IBM takes a holistic approach to helping you optimize your vital IT capabilities to start playing a more strategic and essential role across the business. We can help you meet broad goals including reducing cost, improving asset management, better aligning services with business needs and increasing the productivity of operations. Find out how by downloading the white paper, "IT Optimization: Driving Infrastructure Value."

OracleBI Warehouse Builder 10gR2 "Paris": Transforming Data Into Quality Information 2006-07-25 05:24:41 Oracle

This paper discusses the concepts of data quality, their importance in an enterprise as well as the distinct advantages of performing data quality processes inside a robust data integration product - Oracle Warehouse Builder. Oracle Warehouse Builder addresses the challenges of data quality by offering data assessment, data cleansing, data integration, and data monitoring in one tool. It promotes the disciplined approach to data quality by making data quality processes easily available in the same development environment as the regular data transformation processes. Warehouse Builder offers the flexibility and accuracy that data integration projects demand, yet at a low cost.

Jump to 1 2 3 4 5 6 7 [8] 9 10

Data Management

Related TechGuides

Featured Whitepapers

Webcast:

Enabling Telecom 2.0 with the next generation Service Delivery Platform

Featured Speakers

Oracle Technology Solutions for Midsize Businesses

Industry Report: Financial Services

Title	Date Added	Company
Understanding IBM Workplace Web Content Management software	2006-09-15 10:01:56	IBM
IBM® Workplace Web Content Management™ software is IBM's Web content management system offering. IBM Workplace Web Content Management software provides tools to apply business rules and processes to content, ensuring that specific information assets from across the enterprise are delivered intelligently via Web sites and portals to achieve business objectives.
Metadata and Data Quality Problems in the Digital Library	2007-01-23 01:00:26	University of Colorado
This paper describes the main types of data quality errors that occur in digital libraries, both in full-text objects and in metadata. Studying these errors is important because they can block access to online documents and because digital libraries should eliminate errors where possible. Some types of common errors include typographical errors, scanning and data conversion errors, and find and replace errors. Errors in metadata can also hinder access in digital libraries. The paper also discusses the responsibility for errors in digital documents and offers suggestions for managing digital library data quality.
Oracle Warehouse Builder 10gR2: Transforming Data Into Quality Information	2006-07-25 00:48:19	Oracle
This paper discusses the concepts of data quality, their importance in an enterprise as well as the distinct advantages of performing data quality processes inside a robust data integration product - Oracle Warehouse Builder. Oracle Warehouse Builder addresses the challenges of data quality by offering data assessment, data cleansing, data integration, and data monitoring in one tool. It promotes the disciplined approach to data quality by making data quality processes easily available in the same development environment as the regular data transformation processes. Warehouse Builder offers the flexibility and accuracy that data integration projects demand, yet at a low cost.
IBM's Banking Data Warehouse and Basel II	2007-02-21 10:39:53	IBM
Financial institutions are facing a series of related risk and compliance challenges. These include Basel II and IFRS/IAS. The pace of change driven by the compliance challenges will be different across financial institutions. However, there is now a general recognition that the long term direction of aligning economic and regulatory capital means that risk weighted asset and economic capital calculations should eventually become a key driving force for decisions within the financial institution. This white paper will outline the components of the Banking Data Warehouse (BDW) and how they assist financial institutions to address the data modeling and data consolidation issues relating to the Basel II Capital Accord.
Data Integration: Using ETL, EAI, and EII Tools to Create an Integrated Enterprise	2007-01-23 01:00:26	1105 Media
The objective of this white paper is to look at how data integration techniques, technologies, applications, and products have evolved since the 2003 report was published. The focus this paper is not only on the role of data integration in data warehousing projects, but also on developing an enterprisewide data integration strategy.
Dashboards and Scorecards: Linking Management Reporting to Execution	2005-10-30	Hyperion
Organizations are faced with new challenges, demands and competitors. Therefore, as the markets change and evolve, organizations are continuously looking at using new methods and tools to help them adapt, thrive in the current competitive environment, and execute effectively and efficiently. This white paper provides financial and IT managers with an overview of dashboards and scorecards: their benefits, strengths, and integration. It gives guidance on when to implement dashboards and/or scorecards based on the evolving strategy execution and management reporting requirements.
C&DS - IBM Content Management makes your company more competitive with Information On Demand	2006-09-15 10:02:51	IBM
Tightly integrating business information with processes and people is crucial in order to enhance productivity while extending information infrastructures to ensure consistent, high-quality customer service. Companies must ensure that information such as purchase histories and current portfolio activity is available to employees, distributors and customers, in real time. Learn how IBM Content Management can help you: improve productivity and maximize control of information, streamline compliance to address specific business needs, extend and leverage existing information assets, deliver content where it's needed, maximize return on information, curb database growth and manage compliance issues.
Upstream FEC Errors and SNR as Ways to Ensure Data Quality and Throughput	2006-10-06 01:00:15	Cisco Systems
To operate a High Speed Data (HSD) network over a Hybrid Fiber/Coaxial (HFC) cable plant requires a significant level of quality control to ensure data integrity and the highest level of data throughput. The two generally accepted means by which cable operators can measure data quality is by monitoring either the Bit Error Rate (BER) or the Packet Error Rate (PER). The Data Over Cable Service Interface Specification (DOCSIS) outlines requirements that each cable operator must maintain in order to reliably transport IP data traffic. An important feature of DOCSIS addresses the need to protect IP data against Radio Frequency (RF) noise impairments. The feature DOCSIS uses to help maintain IP data integrity over HFC cable plants is Reed-Solomon Forward Error Correction (FEC) encoding.
IT Optimization: Driving Infrastructure Value	2005-10-10 13:54:39
The changing (more critical) role of IT: at the heart of business. From email to product development to customer relationship management, IT is now critical to virtually every aspect of business. The entire role of IT is evolving, as IT organizations are transformed into true service management functions. IBM takes a holistic approach to helping you optimize your vital IT capabilities to start playing a more strategic and essential role across the business. We can help you meet broad goals including reducing cost, improving asset management, better aligning services with business needs and increasing the productivity of operations. Find out how by downloading the white paper, "IT Optimization: Driving Infrastructure Value."
OracleBI Warehouse Builder 10gR2 "Paris": Transforming Data Into Quality Information	2006-07-25 05:24:41	Oracle
This paper discusses the concepts of data quality, their importance in an enterprise as well as the distinct advantages of performing data quality processes inside a robust data integration product - Oracle Warehouse Builder. Oracle Warehouse Builder addresses the challenges of data quality by offering data assessment, data cleansing, data integration, and data monitoring in one tool. It promotes the disciplined approach to data quality by making data quality processes easily available in the same development environment as the regular data transformation processes. Warehouse Builder offers the flexibility and accuracy that data integration projects demand, yet at a low cost.