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Global Software Integration: Why Do So Many Projects Fail?
The IT field is littered with failed global software integration sagas. The many reasons for these failures include mismatched capabilities, geographical

data integration projects  Continuous Integration Software | Data Integration Software | Database Integration Software | Embedded Software Integration | Enterprise Software Integration | Faster Software Integration | Hardware Software Integration | Open Source Integration Software | Other Software Integration | Performance Software Integration | Scalable Integration Software | Source Integration Software | System Software Integration | Third Party Software Integration | Web Software Integration | Global Access Software | Global Read More...
Customer Relationship Management (CRM)
Customer relationship management (CRM) focuses on the retention of customers by collecting all data from every interaction, every customer makes with a company from all access points whether they a...
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Documents related to » data integration projects


Achieving a Successful Data Migration
The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data

data integration projects  Data Migration Techniques , Data Integration Server , Data Migration Importing Images , New Data Migration Manager , Data File Conversion , Database and Application Migration , Practical Data Migration , Database Migration Database Conversion , Data Migration Resources , Posts Relating to Data Migration , Software Data Migration , Migrate Data Without Disruption , Easy Migration Tools , Open Source Data Migration , Data Migration Options , Data Integration Tool , New Best Practices for Data Migration . Read More...
The Importance of a Single Product for Data Quality and Data Integration
Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business

data integration projects  for Data Quality and Data Integration Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management (CRM) projects. Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data. Read More...
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

data integration projects  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. Read More...
Serving up EAM Integration
Integrating systems has created major havoc within enterprises, and gluing together disparate mission-critical business systems from multiple vendors that were

data integration projects  handle the movement of data from one system to the next in a secure and timely fashion. As business processes change or new applications are introduced, Web services ensures that they can be easily plugged in to support the business process. Conclusion SOA and Web services are poised to fundamentally change asset management. Pressured by today's reality of a retiring maintenance workforce and demand for increased productivity improvements, organizations must begin to fully utilize their EAM applications. Read More...
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

data integration projects  Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. Read More...
Siebel Rallies Its Integration Alliance Troops Part 1: Recent Announcements
Siebel is finally taking 'the bull by the horns' by acknowledging the integration challenges its customers face, and by addressing that issue. An often

data integration projects  for organizations to exchange data between Siebel's CRM system its other vendors' business applications. A standards-based and vendor-independent application integration solution called Universal Application Network (UNA) is touted to dramatically reduce the need for custom integration, thereby minimizing complexity, speeding deployment and delivering a low total cost of ownership (TCO). Leading system integrators such as Cap Gemini Ernst & Young , Accenture , IBM Global Services and KPMG Consulting , Read More...
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

data integration projects  the Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset. Read More...
Data Quality Strategy: A Step-by-Step Approach
To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how

data integration projects  what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More...
Data Quality: A Survival Guide for Marketing
Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge

data integration projects  to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more. Read More...
Curing the Data Integration Migraine
The potential value of centralized data integration is enormous. Once implemented, integration systems promise to deliver more accurate and higher quality data.

data integration projects  the Data Integration Migraine The potential value of centralized data integration is enormous. Once implemented, integration systems promise to deliver more accurate and higher quality data. However, for those who venture into the world of implementation, the promise rarely matches the reality. Avoiding the “data integration migraine” requires careful planning to reduce the risks associated with data relationship, transformation, and map discovery. Read More...
The Role of Cloud in Your Storage and Data Protection Strategy
Find out in Making Cloud an Integral Part of Your Enterprise Storage and Data Protection Strategy.

data integration projects  in Your Storage and Data Protection Strategy The Role of Cloud in Your Storage and Data Protection Strategy Cloud storage is gaining in popularity with companies seeking a more efficient, dynamic, and responsive IT environment. But what are the issues and challenges involved? And how do you make sense of a bewildering maze of cloud storage options? Find out in Making Cloud an Integral Part of Your Enterprise Storage and Data Protection Strategy . In this practical IDC report, you'll learn about the Read More...
The Value of Big Data
As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity

data integration projects  Value of Big Data As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value. Read More...
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

data integration projects  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. Read More...
Enterprise Data Management: Migration without Migraines
Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an

data integration projects  Data Management: Migration without Migraines Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more. Read More...

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