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Documents related to » data quality stock quotes


Quality Management
Quality Management. Search for White Papers and Other Software Related to Quality Management. In today’s global market, providing quality products and services is essential for any manufacturer’s continued growth—but maintaining a competitive edge is not always easy. For success, quality awareness must begin at the conception of the product and continue throughout the various stages of its development. To improve in this area, many manufacturers are now adopting the total quality management (TQM) approach.

DATA QUALITY STOCK QUOTES: Quality Management Program | Data Quality Management | Quality Management Services | Quality Management District | Quality Management Standards | Technology Quality Management | Lifecycle Quality Management | Engineering Quality Management | Quality Management Initiatives | Quality Management Plan Policy | Business Quality Management | Identifying Quality Management | Quality Management Platform | Quality Management Approach | Define Total Quality Management | Advanced Quality Management | Top Quality
7/3/2007 1:15:00 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 QUALITY STOCK QUOTES: 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

Scalable Data Quality: A Seven-step Plan for Any Size Organization
Scalable Data Quality: a Seven-step Plan for Any Size Organization. Read IT Reports In Relation To Data Quality. Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

DATA QUALITY STOCK QUOTES: unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how. Scalable Data Quality: A Seven-step Plan for Any Size Organization style= border-width:0px; />   comments powered by Disqus Related Topics:   Software
9/9/2009 2:36:00 PM

Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

DATA QUALITY STOCK QUOTES: Data Quality Trends and Adoption Data Quality Trends and Adoption Source: SAP Document Type: White Paper Description: While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies
3/22/2011 9:46:00 AM

Continuous Data Quality Management:The Cornerstone of Zero-Latency Business Analytics
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.

DATA QUALITY STOCK QUOTES: Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics CEO, Greg Leman, Inc., and Metagenix - October 17, 2002 Read Comments The Cost Of Poor Quality Data 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. According to recent industry studies: Poor data quality
10/17/2002

Peet’s Coffee & Tea Sets Direction for Growth with Outstanding Quality
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DATA QUALITY STOCK QUOTES: Implementation The Importance of Data Representation: Best Practices in Creating a Usable Report Talent Management for Small and Medium-size Businesses: Steer Your Business to Handle Change by Creating the Right Road Map for Your Talent Journey Mobile Applications for Human Resources: The Future Is Here! Three Keys to Better Data-driven Decisions: What You Should Know... Right Now
5/24/2013 4:03:00 PM

Maximize Quality of Hire Through Your Recruiting Process
Talent acquisition is a key priority for HR executives. Pre-employment assessment tools enable hiring leaders to evaluate job candidates to determine how they potentially fit a hiring profile for specific jobs. Being able to hire individuals that meet or exceed these profiles enables the organization to improve quality of hire. Download this paper and see how your recruiting process can drive performance improvement.

DATA QUALITY STOCK QUOTES: Maximize Quality of Hire Through Your Recruiting Process Maximize Quality of Hire Through Your Recruiting Process Source: FurstPerson Document Type: White Paper Description: Talent acquisition is a key priority for HR executives. Pre-employment assessment tools enable hiring leaders to evaluate job candidates to determine how they potentially fit a hiring profile for specific jobs. Being able to hire individuals that meet or exceed these profiles enables the organization to improve quality of hire.
2/22/2012 8:40:00 AM

The Fast Path to Big Data
Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise information technology (IT). Companies that recognize this reality—and that act on it in a technologically, operationally, and economically optimized way—will gain sustainable competitive advantages.

DATA QUALITY STOCK QUOTES: Fast Path to Big Data The Fast Path to Big Data Source: Wipro Technologies Document Type: White Paper Description: Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of
2/7/2013 12:55:00 AM

Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly.

DATA QUALITY STOCK QUOTES: Protecting Critical Data Protecting Critical Data Source: Stonefly Document Type: White Paper Description: The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Protecting Critical Data style= border-width:0px; />   comments powered by Disqus Related Topics:   Data Warehousing,   Database
10/19/2011 6:48:00 PM

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 QUALITY STOCK QUOTES: Improved Software Quality with Agile Processes Improved Software Quality with Agile Processes Source: Ephlux Document Type: White Paper Description: 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.
3/25/2010 12:45:00 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 QUALITY STOCK QUOTES: Implementation The Importance of Data Representation: Best Practices in Creating a Usable Report Talent Management for Small and Medium-size Businesses: Steer Your Business to Handle Change by Creating the Right Road Map for Your Talent Journey Mobile Applications for Human Resources: The Future Is Here! ERP Implementation Best Practices: Manufacturers and the SaaS Delivery Model Acronym-Related White Papers: Business Intelligence (BI) |  Customer Relationship Management (CRM) |  Enterprise Resource
4/9/2010 1:16:00 PM


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