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Does your organization have access to timely, accurate and relevant information to accelerate business responsiveness and mitigate risks? Organizations perform best when they are most agile in their response to the many business conditions impacting todays enterprise. Any disruption to the flow of information in an enterprise can directly impact the top and bottom line. Download this white paper and learn from customer scenarios and industry leaders how to use operational data integration to become a real-time enterprise and achieve operational.
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White Papers
Why and How to Build a Continuous Integration Environment for the .NET Platform
Informatica - Handling Variable Length Files Using XML
Data Integration in a Service-Oriented Architecture: A Strategic Foundation for Maximizing the Value of Enterprise Data
EAI - Refine the Economics of Integration
Profiling: Calculating Return on Investment for Data Migration and Data Integration Projects
Web Seminars
Espresso Shot: Optimize Sales and Marketing with Advanced Reporting and Dashboards
Espresso Shot Web Seminar - Spread the Wealth:How to Make BI Pervasive
Trends and Tactics for Improving Data Quality
Getting In Synch: Creative Ways to Reconcile Data Between Apps
The Trouble with Success: Methods for Addressing Shrinking Batch Windows
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Data Integration Channel
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Data integration allows organizations to access all their fragmented data, create an accurate and consistent view of their information assets, and leverage those assets to drive business decisions and operations.
While application integration focuses on transaction management and process integration, data integration resolves the complex issues that arise from data fragmentation - including poor data quality, inconsistencies in the structure and meaning of data and inadequate data governance.
Organizations are using data integration in many different ways. They are implementing real-time reporting and analysis to optimize minute-by-minute operational and strategic, decisions. They are using data integration to migrate data into new applications or implement master data management. They are using data integration to synchronize data across operational processes and systems, and to create flexible, reusable data services.
Organizations should look to data integration technologies that can be used across a broad range of initiatives, including data migration, data consolidation, data synchronization, data warehousing and the establishment of data hubs and data services.
To accomplish this, many organizations are adopting a common, enterprise approach - one that leverages a unified platform, is built on shared services and supports integration competency centers.
Informatica provides a single, unified platform for data integration. The Informatica platform connects all enterprise data, from virtually any business system, in any format, and provides a consistent way of accessing, profiling, cleansing, integrating and delivering that data throughout the enterprise to service multiple IT initiatives. The Informatica platform helps organizations take full advantage of their data to support strategic business goals.
Articles
Five Questions Your Integration Salesman Doesnt Want You to Ask
This article focuses on five common questions that integration sales representatives may dance around either because of shortcomings in products or a lack of knowledge about how integration is implemented.
Essential Steps for the Integrated Enterprise Data Warehouse, Part 1
This article provides guidance to what an integrated EDW is and what design elements are needed to achieve integration.
Integrate Process Towers
Most large and midsized organizations today have done a good job of documenting key procedures within specific process towers. Despite all the resulting attention, however, there are still significant gaps.
Columns
Data Integration Will Break Out of the Silo: BI and DW Trends, 8 for 08
Hows this for irony? A lot of integration projects create more silos!
Dont Stop at How, Learn Why
People involved in BI and DW projects are very familiar with terms such as facts, dimensions, attributes, surrogate keys and slowly changing dimensions. Knowing the terms is not enough.
Building the Information-Empowered Organization
Most companies have yet to unleash the power of improved information systems.
The Song Remains the Same
Technology and products have changed, but as Im always reminding my consulting clients, the basis for sound data integration remains. Always remember the following basics that comprise the DIF.
Resist the Urge to Start Coding
The most important first step in designing a data warehouse/business intelligence system, paradoxically, is to stop.
Ask the Experts
What is the best approach to get an integrated view of information of both my finance and sales/production systems?
What are the best methodologies for testing data integration?
White Papers
Why and How to Build a Continuous Integration Environment for the .NET Platform
By Enterprise Solution Providers, Inc.
Informatica - Handling Variable Length Files Using XML
By Arvind Kumar
Data Integration in a Service-Oriented Architecture: A Strategic Foundation for Maximizing the Value of Enterprise Data
By Informatica
EAI - Refine the Economics of Integration
By GaneshKumar Murugan
Profiling: Calculating Return on Investment for Data Migration and Data Integration Projects
By Informatica
Books
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Enterprise Application IntegrationBy David Linthicum |
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PeopleSoft Integration ToolsBy Stewart S. Miller |
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Common Warehouse Metamodel: An Introduction to the Standard for Data Warehouse IntegrationBy Dan Chang, Douglas Tolbert, David Mellor, W. H. Inmon |






