Extract and utilize data from any file, document, or message—regardless of format, complexity, or size.
Informatica B2B Data Transformation provides accessibility to complex file and message formats based on a comprehensive, enterprise-class solution to your transformation challenges. It features the best technology for extracting data from any file, document, or message—regardless of format, complexity, or size—and transforming it into a usable form.
Informatica offers a full range of services and training to help you maximize the value of the Informatica Platform in your environment.
New Methods to Optimize Data Warehouse Performance and Lower Costs Data warehouses tend to grow very quickly because they integ
How to Improve Your Application Preformance with the Hardware You Already Have Most application owners know that as data volumes accumulate
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To deliver the most accurate and useful reports to its growing customer base, GfK needed to aggregate, cleanse, and integrate 1,700 data files or more each month.
Availity relies on the Informatica Crosswalk Solution for adherence, testing, and delivery against 5010A format compliance mandates in the processing of more than one billion transactions per year.
To update and consolidate its patient records system, Clalit needed a single interface integrating more than 300 data formats.
Facing growing demands for its services, the company needed to bring customers on board faster while ensuring its existing customers continued to enjoy the highest level of service.
Ensenda manages a network of the top local delivery firms linked through its real-time technology that enables shippers to offer quality delivery experiences to their customers.
To improve customer relations, inventory management, and cash flow, Click Clack needed to eliminate third-party distributors. This required the company to integrate its overseas customer and inventory records into its SAP enterprise resource planning (ERP) system.
The company needed to automate the process of capturing and integrating unstructured travel data from hundreds of frequent-flying field employees to ensure clients are billed appropriately.
To support its operations and prepare for further growth, the bank needed to create a data infrastructure to better link its global systems.
The company needed to provide the Chinese capital markets with timely, accurate market reporting which involved integrating unstructured data from listed companies in multiple disconnected sources/