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Six Steps to Manage Data Quality with SQL Server Integration Services
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.

oracle data anonymization  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 Read More...

Oracle Loses Again
SAP AG has chosen SQL Server 7.0 as its strategic database for the Windows platform. The companies also will cooperate to make the Windows 2000 OS available as a platform choice for customers wishing to implement mySAP.com solutions. On the heels of the agreement to use IBM DB2 as a preferred backend database, Oracle continues to lose market share as a database in the ERP arena.

oracle data anonymization  Oracle Loses Again Oracle Loses Again M. Reed - January 20, 2000 Read Comments Event Summary SAP AG has chosen SQL Server 7.0 as its strategic database for the Windows platform. The companies also will cooperate to make the Windows 2000 OS available as a platform choice for customers wishing to implement mySAP.com solutions. Microsoft also announced that it is the first mySAP.com customer to use Windows 2000 for its product implementation of SAP inter-enterprise software solutions. mySAP.com is an open Read More...
Outsourcing, IT Infrastructure
The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical type...
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Documents related to » oracle data anonymization


Data Quality: A Survival Guide for Marketing
The success of direct marketing, measured in terms of qualified leads that generate sales, depends on accurately identifying prospects. Ensuring data accuracy and data quality can be a big challenge if you have up to 10 million prospect records in your customer relationship management (CRM) system. How can you ensure you select the right prospects? Find out how an enterprise information management (EIM) system can help.

oracle data anonymization  Data Quality: A Survival Guide for Marketing Data Quality: A Survival Guide for Marketing Source: SAP Document Type: White Paper Description: The success of direct marketing, measured in terms of qualified leads that generate sales, depends on accurately identifying prospects. Ensuring data accuracy and data quality can be a big challenge if you have up to 10 million prospect records in your customer relationship management (CRM) system. How can you ensure you select the right prospects? Find out how an Read More...
Oracle Acquires Eloqua
Oracle's attempt to tackle the customer experience cloud market has been advanced with the new acquisition of cloud-based marketing automation solutions provider Eloqua. Oracle expects to achieve an extensive product, which will help companies market, sell, and support their customers. The solution should be able to offer multi-channel and personalized client interactions.<!--more--> According

oracle data anonymization  Oracle Acquires Eloqua » The TEC Blog TEC Blog     TEC Home     About TEC     Contact Us     About the Bloggers     Follow TEC on Twitter    RSS   Discussing Enterprise Software and Selection --> Fast, Accurate Software Evaluations TEC helps enterprises evaluate and select software solutions that meet their exacting needs by empowering purchasers with the tools, research, and expertise to make an ideal decision. Your software selection starts here. Learn more about TEC s software Read More...
Data-driven Design
Creating and maintaining a successful digital experience that drives business results requires the right research insight, design, technology, and ongoing optimization. Forrester conducted an online survey of 209 digital experience professionals in the US to evaluate current practices around Web site monitoring and digital experiences. Read about the adoption, benefits, and challenges of current data-driven design processes.

oracle data anonymization  Databases and ERP Selection: Oracle vs. SQL Server 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 (TCO) Read More...
Customer Data Integration: A Primer
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.

oracle data anonymization  analytical and operational activities. Oracle s Siebel Customer Data Integration is comprised of three solutions: Universal Application Network , Data Quality , and Universal Customer Master . Oracle s Siebel Data Quality identifies duplicate customer records and provides pre-built integration to third-party data cleansing tools. Oracle s matching server functionality allows the organization to search, match, and identify duplicate customer records based on key customer attributes such as name and Read More...
Data Quality Strategy: A Step-by-step Approach
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 how to keep it clean. The companies that approach this issue strategically are the companies that will be successful. Learn the six factors that go into a good data quality strategy, and find out how to go from strategy to implementation.

oracle data anonymization  Data Quality Strategy: A Step-by-step Approach Data Quality Strategy: A Step-by-step Approach Source: SAP Document Type: White Paper Description: 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 how to keep it clean. The companies that approach this issue strategically are the companies that will be successful. Learn the six factors that go into a good data quality Read More...
Understanding the PCI Data Security Standard
The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a proactive rather than passive way. These include security management, policies, procedures, network architectures, software design, and other protective measures. Get a better understanding of the PCC DSS and learn the costs and benefits of compliance.

oracle data anonymization  Understanding the PCI Data Security Standard Understanding the PCI Data Security Standard Source: Symantec Document Type: White Paper Description: The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a proactive rather than passive way. These include security management, policies, procedures, network architectures, software design, and other protective measures. Get a better understanding of the PCC Read More...
Data Quality: Cost or Profit?
Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and company policies that set expectations and establish data management procedures, we will explore applications and tools that help reduce the negative impact of poor data quality. Some CRM application providers like Interface Software have definitely taken data quality seriously and are contributing to solving some data quality issues.

oracle data anonymization  Data Quality: Cost or Profit? Data Quality: Cost or Profit? Kevin Ramesan - March 8, 2004 Read Comments Market Overview In the past year, TEC has published a number of articles about data quality. ( Poor Data Quality Means A Waste of Money ; The Hidden Role of Data Quality in E-Commerce Success ; and, Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics .) This time our focus takes us to the specific domain of data quality within the customer relationship management (CRM) Read More...
Anatomy of a Decision: SAP vs. Oracle JD Edwards EnterpriseOne
There are many reasons beyond purchase price that influence an enterprise application investment decision. In an exploration of JD Edwards EnterpriseOne customers that also considered Microsoft Dynamics, Nucleus found that functionality, reporting capabilities, staff skill availability, and partner and vendor support capabilities were key factors driving a decision to invest in EnterpriseOne. Download the complete results of this analysis now.

oracle data anonymization  a Decision: SAP vs. Oracle JD Edwards EnterpriseOne Anatomy of a Decision: SAP vs. Oracle JD Edwards EnterpriseOne Source: Oracle Document Type: White Paper Description: There are many reasons beyond purchase price that influence an enterprise application investment decision. In an exploration of JD Edwards EnterpriseOne customers that also considered Microsoft Dynamics, Nucleus found that functionality, reporting capabilities, staff skill availability, and partner and vendor support capabilities were Read More...
Meeting the Challenges of Product Traceability with Automated Data Collection
An effective traceability system involves determining which product and manufacturing process attributes to collect and maintain—and deciding when during the manufacturing process to begin collecting those attributes. Do you begin with raw material attributes from the supplier, at inspection, at assembly, at shipping? Explore the many facets of meeting product traceability challenges using automated data collection.

oracle data anonymization  Meeting the Challenges of Product Traceability with Automated Data Collection Meeting the Challenges of Product Traceability with Automated Data Collection Source: Radley Corporation Document Type: White Paper Description: An effective traceability system involves determining which product and manufacturing process attributes to collect and maintain—and deciding when during the manufacturing process to begin collecting those attributes. Do you begin with raw material attributes from the supplier, at Read More...
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