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Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence
Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting
discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data.
Business Performance Management (BPM) RFI/RFP Template
Data Visualization, Analytics, Workflow, Data Integration, Support, System Requirements
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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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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
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.
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
be achieved. Consequently, customer data integration (CDI) has become an essential component of an organization's management of data, along with any CRM initiative. This article will provide an overview of CDI within CRM, and see how it differentiates itself from the general data integration industry. Additionally, the components of CDI will be explored, to identify the important areas that should be considered when implementing master data management (MDM) for CRM within the organization. Finally, key
Data Warehouse vs. Data Mart-Approaches to Implementing a Data Integration Solution
There continues to be a wide variety of different approaches to building a solid data management solution for your organization, and just as many consulting
Mart-Approaches to Implementing a Data Integration Solution There continues to be a wide variety of different approaches to building a solid data management solution for your organization, and just as many consulting firms across the globe willing to help you build them. However, it’s imperative for each data management solution to specialize to the unique needs of your organization’s business users, across varying functional areas.
Unified Data Management: A Collaboration of Data Disciplines and Business Strategies
In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration
Data Management: A Collaboration of Data Disciplines and Business Strategies In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts.
Integration Validation of Networked Solutions
When implementing and running solution landscapes that drive mission-critical business processes, solution integration can be complex and challenging
Validation of Networked Solutions When implementing and running solution landscapes that drive mission-critical business processes, solution integration can be complex and challenging. Implementation work, typically distributed across many teams and many stakeholders, may include custom-built and third-party software. This paper discusses how you can make sure your solutions are integrated correctly so they run smoothly, without technical interruption.
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
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.
How to Comply with Data Security Regulations
A remote data backup solution can be compliant with almost any international, federal, or state data protection regulation@and can be compliant with the common
to Comply with Data Security Regulations BizDomainStore.com's Remote Data Backups is the most cost effective, secure, and convenient way to automatically back up your mission critical data Source: BizDomainStore.com Resources Related to How to Comply with Data Security Regulations : Data Security (Wikipedia) How to Comply with Data Security Regulations Data security is also known as : Remote Data , Federal Data , State Data , Most Data , Mirrored Data , Financial Data , Client Data , Enterprise Data
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
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.
Master Data Management and Accurate Data Matching
Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are
Data Management and Accurate Data Matching Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.
Informatica PowerCenter 5 Enables Enterprise Data Integration
Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications, analytic applications and data
PowerCenter 5 Enables Enterprise Data Integration Informatica PowerCenter 5 Enables Enterprise Data Integration M. Reed - April 5, 2001 Event Summary Informatica Corporation (NASDAQ: INFA), a provider of e-Business analytic software, has announced the availability of Informatica PowerCenter 5 , an enterprise data integration platform for the deployment and management of analytic applications and data warehouses. The vendor states that the Informatica PowerCenter 5 suite is designed to be a
Flexible Customer Data Integration Solution Adapts to Your Business Needs
Siperian's master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage, and customize customer-related data.
Customer Data Integration Solution Adapts to Your Business Needs Customer data integration (CDI) has become one of the buzzwords within the master data management (MDM) industry. Although the concept of creating a single organizational view of the customer is noble and desirable, its value should also be justified by organizations. To implement a customer data hub that only creates a centralized view of an organization's customer-related data does not affect a company's bottom line, unless
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 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.
Deploying High-density Zones in a Low-density Data Center
New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center
Zones in a Low-density Data Center Deploying High-Density Zones in a Low-Density Data Center If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Together, APC’s global teams work to fulfill their mission of creating delighted customers. To do this, the Company focuses its efforts on four primary application areas: Home/Small Office; Business Networks; Data Centers and Facilities; and Access Provider Networks. Source : APC Resources
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