Home
 > search for

Featured Documents related to » data mining data quality root cause



ad
Get Free BPM Software Comparisons

Find the best BPM software solution for your business!

Use the software selection tool employed by IT professionals in thousands of selection projects per year. FREE software comparisons based on your organization's unique needs—quickly and easily!
Register to access your free comparison reports and more!

Country:

 Security code
Already have a TEC account? Sign in here.

Documents related to » data mining data quality root cause


Six Steps to Manage Data Quality with SQL Server Integration Services
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 hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

DATA MINING DATA QUALITY ROOT CAUSE: Six Steps to Manage Data Quality with SQL Server Integration Services Six Steps to Manage Data Quality with SQL Server Integration Services Source: Melissa Data Document Type: White Paper Description: 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 hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in
9/9/2009 2:32:00 PM

CAD Model Quality Testing
With 3-D computer-aided design (CAD) models taking on a broader and more significant role in the development of new products, CAD files must flow smoothly into downstream applications. Sometimes, however, errors do occur. An off-the-shelf software tool can detect problems in the design stage so they aren’t discovered at a crucial moment in the manufacturing process, when it may be costly—or even too late—to correct them.

DATA MINING DATA QUALITY ROOT CAUSE: Disqus Related Topics:   Data Quality,   Digital Imaging,   Graphic Creation and Manipulation,   CAD/CAM System Related Industries:   Heavy and Civil Engineering Construction,   Manufacturing Source: International TechneGroup Incorporated (ITI) Learn more about International TechneGroup Incorporated (ITI) Readers who downloaded this white paper also read these popular documents! Extending BI’s Reach: Anticipate Outcomes, Forecast Results, and Respond Proactively Best Practices for ERP
9/13/2007 11:23:00 AM

Overall Approach to Data Quality ROI
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI.

DATA MINING DATA QUALITY ROOT CAUSE: Overall Approach to Data Quality ROI Overall Approach to Data Quality ROI Source: SAP Document Type: White Paper Description: Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an
3/16/2011 5:34:00 PM

Data Quality Basics
Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at profit margins. It can also create useless information in the form of inaccurate reports and market analyses. As companies come to rely more and more on their automated systems, data quality becomes an increasingly serious business issue.

DATA MINING DATA QUALITY ROOT CAUSE: Data Quality Basics Data Quality Basics Source: Trillium Software Document Type: White Paper Description: Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at profit margins. It can also create useless information in the form of inaccurate reports and market analyses. As companies come to rely more and more on their automated systems, data quality becomes an increasingly serious business issue. Data
10/27/2006 4:30:00 PM

Customer Perspectives on the Benefits of a Collaborative Process to Deliver Software Quality
Organizations seeking to align the software delivery process with business strategy and goals are beginning to adopt a collaborative software delivery life cycle. While not always an easy change to make, moving to a collaborative approach has clear benefits for companies and their customers. Learn how three companies improved software quality by following a collaborative approach throughout the software delivery lifecycle.

DATA MINING DATA QUALITY ROOT CAUSE: IBM, development software, software development, collaboration, collaborative, software developer, software quality, collaborate, quality assurance software, software developers, agile software development, software development tools, collaboration software, software development life cycle, online collaboration, software delivery, custom software development, software quality management, document collaboration, software development management, software development process, software development project, collaboration project, collaboration tools, software application development, software .
4/9/2010 1:16:00 PM

The Importance of a Single Platform for Data Integration and Quality Management
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 integration projects, and its use is immature. Find out how moving toward a single data services architecture can help.

DATA MINING DATA QUALITY ROOT CAUSE: a Single Platform for Data Integration and Quality Management The Importance of a Single Platform for Data Integration and Quality Management Source: SAP Document Type: White Paper Description: 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 integration
6/9/2009 2:43:00 PM

Malta: A Quality Centre for the ICT Industry
Enterprises are seeking new ways to boost their competitive edge. Outsourcing in Malta has proven to be a strategic advantage because of its stability, knowledge capital, and proximity to a number of markets--which is attested by the fact it has one of the highest exports per capita in the world.

DATA MINING DATA QUALITY ROOT CAUSE:
2/13/2006 8:28:00 AM

Distilling Data: The Importance of Data Quality in Business Intelligence
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.

DATA MINING DATA QUALITY ROOT CAUSE: that are not obvious. Data mining is the process of discovering information from enterprise data that is otherwise hidden. For instance, an online bookstore suggests additional books based on what a user adds to his or her cart by examining evidence from other comparable buyers. This is done through the use of association rules applied to historical sales data. Although the primary purpose of mining data is to gain business insight, it can be applied to discover anomalies in data. Consider a Web-based
7/17/2009

Improved Software Quality with Agile Processes
Unlike traditional models that are linear and inflexible, modern software processes have evolved to be iterative and incremental. This whitepaper argues that because developers using the agile methodology are usually the first to test their own code, agile development results in higher quality software than what traditional software teams usually deliver. Find out more.

DATA MINING DATA QUALITY ROOT CAUSE: Journey The Importance of Data Representation: Best Practices in Creating a Usable Report 3 Key Areas to Reduce Costs with Lean Techniques Rapid Implementation Methodology Acronym-Related White Papers: Business Intelligence (BI) |  Customer Relationship Management (CRM) |  Enterprise Resource Planning (ERP) |  Human Capital Management (HCM) |  Information Technology (IT) |  Key Performance Indicators (KPIs) |  Return on Investment (ROI) |  Software as a Service (SaaS) |  Total Cost of Ownership
3/25/2010 12:45:00 PM

2013 Big Data Opportunities Survey
While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unispere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses and a discussion of the results.

DATA MINING DATA QUALITY ROOT CAUSE: 2013 Big Data Opportunities Survey 2013 Big Data Opportunities Survey Source: SAP Document Type: White Paper Description: While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unispere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested
7/5/2013 2:25:00 PM

Outsourcing with Confidence. Improving Communication, Visibility, and Quality Control
Outsourcing of software development work requires careful considerations and practices to alleviate the potential challenges involved. This white paper summarizes the challenges and describes Code Rocket: a software visualization and documentation system that offers assistance for supporting recommended best practices for outsourcing.

DATA MINING DATA QUALITY ROOT CAUSE:
7/27/2010 7:24:00 AM


Recent Searches
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Others