Informatica

Displaying 1-11 of 11 results

  • White Papers // Nov 2013

    How to create a Holistic Data Governance Strategy

    The goal of data governance is not just to clarify who "owns" data but also to optimize its value. The data itself is merely the means to the desired end of improved business performance. This paper is intended to help data governance evangelists in both business and IT generate the...

    Provided By Informatica

  • White Papers // Feb 2011

    Data Exchange and Information Sharing by Bloor Research

    Organizations today must share information with a wide variety of third parties outside the firewall: partners, agents, customers, resellers, and many other entities. In this white paper, Bloor Research profiles four companies that enabled partner networks using Informatica B2B Data Exchange instead of hand-coding and details how automating data exchange...

    Provided By Informatica

  • White Papers // Dec 2010

    8 Keys to Successful XML Data Integration - A NorthPage Research Report

    XML Integration is only as good as the data flowing through its pipes. This NorthPage Research report provides managers & IT professionals with insights into how information-driven enterprises successfully integrate XML data to manage XML "Sprawl", meet industry-specific XML specifications and ensure XML data quality.

    Provided By Informatica

  • White Papers // Apr 2010

    How Successful Financial Firms Use Both Reliable Multicast and TCP in Messaging or Is TCP Really All You Need for Messaging?

    Successful financial firms use both TCP and reliable multicast messaging in their architectures for many reasons. Cisco and other network vendors support both unicast and multicast protocols with hardware designed to transmit either kind of message at wire speed. The authors see some vendors who want to believe that only...

    Provided By Informatica

  • White Papers // Mar 2010

    A Practical Guide for Retiring Legacy Applications

    It's not uncommon for companies that have been in business for a while to have hundreds of legacy applications that deliver limited value--but still involve significant operational and maintenance costs. Many of those organizations are now asking some key questions: Why continue to waste money maintaining applications that no...

    Provided By Informatica

  • White Papers // Nov 2009

    Informatica Cloud Data Integration Solutions for Salesforce CRM and Force.com: Maximize the Value of Your Salesforce.com Investments

    Cloud-based data integration must be easy for a new type of user: someone with minimal IT experience who needs results on demand, doesn't want to spend a lot to get them, and can't pull the IT team away from other responsibilities. Cloud-based data integration solutions must empower Salesforce CRM administrators...

    Provided By Informatica

  • White Papers // Oct 2009

    Pervasive Data Quality Improving Business Processes With High Quality Data

    The problems associated with poor data quality, which include lack of trust in the data, poorly supported decision making and significant costs, have been well known for some time. However, even within those companies that have recognized the problem and which have taken steps to cleanse their data, there are...

    Provided By Informatica

  • White Papers // Feb 2009

    Best Practices for Provisioning Databases for Test & Development - Oracle Applications

    Organizations maintain on average 8 to 12 database copies per production application which are typically used for testing, development, training and QA. As production databases get larger, the traditional approach of generating non-production copies incurs significant costs. This paper from Applimation, now Informatica, provides information on best practices and new...

    Provided By Informatica

  • White Papers // Jan 2009

    Archiving Best Practices: 9 Steps to Successful Information Lifecycle Management

    Organizations looking for ways to manage their data more effectively are increasingly considering Information Lifecycle management as a way to better align the business value of data with the most appropriate and cost-effective IT infrastructure. This white paper describes why archiving provides a highly effective ILM solution and best practices...

    Provided By Informatica

  • White Papers // Oct 2008

    Jump-Start Your Data Warehousing Initiatives

    Data warehousing systems form the backbone of a company's information system. Data warehousing system enables secure storage of large amounts of business information, provides easy access and retrieval and also helps generate useful business intelligence. Businesses and their IT teams often face many challenges in the implementation and management of...

    Provided By Informatica

  • White Papers // Aug 2008

    Informatica Data Quality and Data Integration

    To support today's business processes and goals, all corporate data needs to be universally accessible, flexible, certifiably accurate, and reusable. Organizations need to know more about what is in their source systems, they need to be able to integrate data from multiple systems into new, more productive data-intensive applications, and...

    Provided By Informatica

  • White Papers // Nov 2013

    How to create a Holistic Data Governance Strategy

    The goal of data governance is not just to clarify who "owns" data but also to optimize its value. The data itself is merely the means to the desired end of improved business performance. This paper is intended to help data governance evangelists in both business and IT generate the...

    Provided By Informatica

  • White Papers // Jan 2009

    Archiving Best Practices: 9 Steps to Successful Information Lifecycle Management

    Organizations looking for ways to manage their data more effectively are increasingly considering Information Lifecycle management as a way to better align the business value of data with the most appropriate and cost-effective IT infrastructure. This white paper describes why archiving provides a highly effective ILM solution and best practices...

    Provided By Informatica

  • White Papers // Mar 2010

    A Practical Guide for Retiring Legacy Applications

    It's not uncommon for companies that have been in business for a while to have hundreds of legacy applications that deliver limited value--but still involve significant operational and maintenance costs. Many of those organizations are now asking some key questions: Why continue to waste money maintaining applications that no...

    Provided By Informatica

  • White Papers // Feb 2009

    Best Practices for Provisioning Databases for Test & Development - Oracle Applications

    Organizations maintain on average 8 to 12 database copies per production application which are typically used for testing, development, training and QA. As production databases get larger, the traditional approach of generating non-production copies incurs significant costs. This paper from Applimation, now Informatica, provides information on best practices and new...

    Provided By Informatica

  • White Papers // Feb 2011

    Data Exchange and Information Sharing by Bloor Research

    Organizations today must share information with a wide variety of third parties outside the firewall: partners, agents, customers, resellers, and many other entities. In this white paper, Bloor Research profiles four companies that enabled partner networks using Informatica B2B Data Exchange instead of hand-coding and details how automating data exchange...

    Provided By Informatica

  • White Papers // Dec 2010

    8 Keys to Successful XML Data Integration - A NorthPage Research Report

    XML Integration is only as good as the data flowing through its pipes. This NorthPage Research report provides managers & IT professionals with insights into how information-driven enterprises successfully integrate XML data to manage XML "Sprawl", meet industry-specific XML specifications and ensure XML data quality.

    Provided By Informatica

  • White Papers // Oct 2008

    Jump-Start Your Data Warehousing Initiatives

    Data warehousing systems form the backbone of a company's information system. Data warehousing system enables secure storage of large amounts of business information, provides easy access and retrieval and also helps generate useful business intelligence. Businesses and their IT teams often face many challenges in the implementation and management of...

    Provided By Informatica

  • White Papers // Nov 2009

    Informatica Cloud Data Integration Solutions for Salesforce CRM and Force.com: Maximize the Value of Your Salesforce.com Investments

    Cloud-based data integration must be easy for a new type of user: someone with minimal IT experience who needs results on demand, doesn't want to spend a lot to get them, and can't pull the IT team away from other responsibilities. Cloud-based data integration solutions must empower Salesforce CRM administrators...

    Provided By Informatica

  • White Papers // Apr 2010

    How Successful Financial Firms Use Both Reliable Multicast and TCP in Messaging or Is TCP Really All You Need for Messaging?

    Successful financial firms use both TCP and reliable multicast messaging in their architectures for many reasons. Cisco and other network vendors support both unicast and multicast protocols with hardware designed to transmit either kind of message at wire speed. The authors see some vendors who want to believe that only...

    Provided By Informatica

  • White Papers // Aug 2008

    Informatica Data Quality and Data Integration

    To support today's business processes and goals, all corporate data needs to be universally accessible, flexible, certifiably accurate, and reusable. Organizations need to know more about what is in their source systems, they need to be able to integrate data from multiple systems into new, more productive data-intensive applications, and...

    Provided By Informatica

  • White Papers // Oct 2009

    Pervasive Data Quality Improving Business Processes With High Quality Data

    The problems associated with poor data quality, which include lack of trust in the data, poorly supported decision making and significant costs, have been well known for some time. However, even within those companies that have recognized the problem and which have taken steps to cleanse their data, there are...

    Provided By Informatica