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Title Date Added Company

Data Profiling: Designing the Blueprint for Improved Data Quality 2006-12-26 01:00:57 SAS Institute

Many business and IT managers face the same problem: the data that serves as the foundation for their business applications (including Customer Relationship Management (CRM) programs, Enterprise Resource Planning (ERP) tools, and data warehouses) is inconsistent, inaccurate, and unreliable. Data profiling is the solution to this problem and, as such, is a fundamental step that should begin every data-driven initiative. This paper explores how data profiling can help determine the structure and completeness of data and, ultimately, improve data quality. The paper also covers the types of analysis that data profiling can provide as well as how data profiling fits into an overall data management strategy.

Data Quality Best Practices for On Demand CRM 2006-07-13 04:18:29 InsideScoop

An effective plan for entering, cleaning and updating the data for the On Demand CRM system is critical for achieving success. According to industry experts poor planning for managing the data entry/data quality issue has historically been one of the largest reasons for failure with CRM systems. The data entry/data quality challenges faced by a CRM customer, and the corresponding solutions and best practices to be considered will vary depending on the company sales process and size. However applying data management best practices can be instrumental for creating revenue growth and a competitive advantage with the CRM investment.

Putting Quality Process in Place to Exploit Technology 2007-01-23 01:00:26 SAS Institute

Part of the increased interest in data and information quality in business is because of the growing role of data quality technology used to address faulty or nonquality data. Through this software, businesses can indeed build better data sources, which can then drive enterprise applications such as Customer Relationship Management (CRM) or Enterprise Resource Planning (ERP) systems. The promise of applications such as CRM and ERP is to provide access to information from throughout the enterprise. Without good data, that promise will go unfulfilled. This paper will explore the process improvement technologies that are commonly used to address information quality.

Data Quality: Standardize, Validate and Improve your Information Assets 20040402000410 DataFlux

As companies search for more consistent, accurate, and reliable data, they realize that you need to have a solid combination of data quality technology along with quality improvement processes. This white paper, co-authored with Larry English from Information Impact International, provides an overview of the processes and technology that can help you improve the quality of your information assets.

Data Quality Methods 20040302121454 Kismet Analytic Corp.

This paper briefly summarizes a basic strategy for proactive data cleansing. The main intent is to provide information that will be helpful in planning a data cleanup project. To that end, suggestions are provided in a "cookbook" format. It must be understood that each project will be unique, and the specifics of each plan will vary.

Enterprise Data Management Maturity Model 2007-01-23 01:00:26 SAS Institute

Data management establishes and deploys the roles, responsibilities, policies and procedures pertaining to the acquisition, maintenance, dissemination and disposition of data. To succeed, a data management program requires a partnership between the business and technology groups. Given the broad focus of data management, an effective program relies on a combination of people, process and technology. This paper explores the major issues of building better data and how to utilize these three elements to achieve more effective data management policies. More specifically, this paper defines an organization's data management maturity based on the processes that are practiced and the value that an organization places on data management.

ETLQ From SAS Institute 2005-12-07 01:01:55

SAS ETLQ (which SAS describes as "ETL to the power of Q") provides data analysis and profiling, data cleansing, and ETL (extract, transform and load) capabilities based on a shared metadata repository. In practice, SAS ETLQ combines the ETL offering that SAS used to provide within what was the Warehouse Administrator product (which is why the company is not well known as an ETL vendor), together with the data quality software that is provided by its DataFlux subsidiary. The latter has added data profiling and analysis capability in its most recent release, which is why it can now be regarded as a true data quality provider rather than just as a data cleansing vendor. All of this capability is embedded with SAS ETLQ.

CRM Success: Data Makes the Difference 2006-07-18 03:00:52 Investcorp

CRM initiatives quite often fail to meet expectations, sometimes because of organizational issues, sometimes because of outdated business processes or sometimes because of the CRM application itself. One of the thorniest problems is the quality of the data underlying the initiative. Fixing data problems can go a long way toward recouping the CRM investment and saving the customer relationships. This paper explains 10 ways to shore up the data and make one the kind of CRM statistic one wants to be: the hero who made CRM pay off quickly.

HP FAS Streamlines Quality Control for World's Top Helicopter Firm 2005-06-29 03:00:02

Eurocopter is the world's leading manufacturer of civil and military helicopters used for VIP and passenger transport, rescue and police missions, offshore operations and special military needs. Quality control is vitally important on the assembly lines of world leading helicopter manufacturer Eurocopter. The company's many quality inspectors generated mountains of paperwork which takes a lot of time to process and is open to mistakes. Eurocopter needed a more efficient solution for capturing, processing and actioning the data. Quality inspectors now use HP FAS (Forms Automation System) and Digital Pen and Paper to record quality issues. Forms are printed with pictures of the appropriate helicopter to make it easier to pinpoint problems. The information is automatically uploaded onto Eurocopter's Intranet.

Open File Backup Solution Saves Dorner Manufacturing Time, Money, and Data 2006-01-31 18:51:25

Before Dorner Manufacturing Corporation deployed Open File Manager from St. Bernard Software, the conveyor systems manufacturer was forced to shut down its mission-critical engineering applications each evening just to perform data backups. The downtime threatened the company's production and shipping schedules, and jeopardized its business continuity processes, as well. Download this case study from St. Bernard Software to learn how Open File Manager has solved Dorner's thorniest backup problem, and find out just much Dorner has recouped in productivity costs since implementing the solution.

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Title	Date Added	Company
Data Profiling: Designing the Blueprint for Improved Data Quality	2006-12-26 01:00:57	SAS Institute
Many business and IT managers face the same problem: the data that serves as the foundation for their business applications (including Customer Relationship Management (CRM) programs, Enterprise Resource Planning (ERP) tools, and data warehouses) is inconsistent, inaccurate, and unreliable. Data profiling is the solution to this problem and, as such, is a fundamental step that should begin every data-driven initiative. This paper explores how data profiling can help determine the structure and completeness of data and, ultimately, improve data quality. The paper also covers the types of analysis that data profiling can provide as well as how data profiling fits into an overall data management strategy.
Data Quality Best Practices for On Demand CRM	2006-07-13 04:18:29	InsideScoop
An effective plan for entering, cleaning and updating the data for the On Demand CRM system is critical for achieving success. According to industry experts poor planning for managing the data entry/data quality issue has historically been one of the largest reasons for failure with CRM systems. The data entry/data quality challenges faced by a CRM customer, and the corresponding solutions and best practices to be considered will vary depending on the company sales process and size. However applying data management best practices can be instrumental for creating revenue growth and a competitive advantage with the CRM investment.
Putting Quality Process in Place to Exploit Technology	2007-01-23 01:00:26	SAS Institute
Part of the increased interest in data and information quality in business is because of the growing role of data quality technology used to address faulty or nonquality data. Through this software, businesses can indeed build better data sources, which can then drive enterprise applications such as Customer Relationship Management (CRM) or Enterprise Resource Planning (ERP) systems. The promise of applications such as CRM and ERP is to provide access to information from throughout the enterprise. Without good data, that promise will go unfulfilled. This paper will explore the process improvement technologies that are commonly used to address information quality.
Data Quality: Standardize, Validate and Improve your Information Assets	20040402000410	DataFlux
As companies search for more consistent, accurate, and reliable data, they realize that you need to have a solid combination of data quality technology along with quality improvement processes. This white paper, co-authored with Larry English from Information Impact International, provides an overview of the processes and technology that can help you improve the quality of your information assets.
Data Quality Methods	20040302121454	Kismet Analytic Corp.
This paper briefly summarizes a basic strategy for proactive data cleansing. The main intent is to provide information that will be helpful in planning a data cleanup project. To that end, suggestions are provided in a "cookbook" format. It must be understood that each project will be unique, and the specifics of each plan will vary.
Enterprise Data Management Maturity Model	2007-01-23 01:00:26	SAS Institute
Data management establishes and deploys the roles, responsibilities, policies and procedures pertaining to the acquisition, maintenance, dissemination and disposition of data. To succeed, a data management program requires a partnership between the business and technology groups. Given the broad focus of data management, an effective program relies on a combination of people, process and technology. This paper explores the major issues of building better data and how to utilize these three elements to achieve more effective data management policies. More specifically, this paper defines an organization's data management maturity based on the processes that are practiced and the value that an organization places on data management.
ETLQ From SAS Institute	2005-12-07 01:01:55
SAS ETLQ (which SAS describes as "ETL to the power of Q") provides data analysis and profiling, data cleansing, and ETL (extract, transform and load) capabilities based on a shared metadata repository. In practice, SAS ETLQ combines the ETL offering that SAS used to provide within what was the Warehouse Administrator product (which is why the company is not well known as an ETL vendor), together with the data quality software that is provided by its DataFlux subsidiary. The latter has added data profiling and analysis capability in its most recent release, which is why it can now be regarded as a true data quality provider rather than just as a data cleansing vendor. All of this capability is embedded with SAS ETLQ.
CRM Success: Data Makes the Difference	2006-07-18 03:00:52	Investcorp
CRM initiatives quite often fail to meet expectations, sometimes because of organizational issues, sometimes because of outdated business processes or sometimes because of the CRM application itself. One of the thorniest problems is the quality of the data underlying the initiative. Fixing data problems can go a long way toward recouping the CRM investment and saving the customer relationships. This paper explains 10 ways to shore up the data and make one the kind of CRM statistic one wants to be: the hero who made CRM pay off quickly.
HP FAS Streamlines Quality Control for World's Top Helicopter Firm	2005-06-29 03:00:02
Eurocopter is the world's leading manufacturer of civil and military helicopters used for VIP and passenger transport, rescue and police missions, offshore operations and special military needs. Quality control is vitally important on the assembly lines of world leading helicopter manufacturer Eurocopter. The company's many quality inspectors generated mountains of paperwork which takes a lot of time to process and is open to mistakes. Eurocopter needed a more efficient solution for capturing, processing and actioning the data. Quality inspectors now use HP FAS (Forms Automation System) and Digital Pen and Paper to record quality issues. Forms are printed with pictures of the appropriate helicopter to make it easier to pinpoint problems. The information is automatically uploaded onto Eurocopter's Intranet.
Open File Backup Solution Saves Dorner Manufacturing Time, Money, and Data	2006-01-31 18:51:25
Before Dorner Manufacturing Corporation deployed Open File Manager from St. Bernard Software, the conveyor systems manufacturer was forced to shut down its mission-critical engineering applications each evening just to perform data backups. The downtime threatened the company's production and shipping schedules, and jeopardized its business continuity processes, as well. Download this case study from St. Bernard Software to learn how Open File Manager has solved Dorner's thorniest backup problem, and find out just much Dorner has recouped in productivity costs since implementing the solution.