What is Enterprise Data Integration

Service Oriented Architecture SOA Articles : What is Enterprise Data Integration by Esalestrack

Enterprise data integration means the combining of enterprise information from various data resources to fulfill particular enterprise requirements. It involves the storing, sharing and migration of data among various business applications. Today, enterprise data integration is widely practiced by all business organizations and companies, especially Internet-linked marketers and service providers, for better management of company resources. Also a wide range of data integration systems and software programs have been created for data management purpose.

Abolition of data accumulation, prevention and elimination of duplicate data entry, reduction in time expenditure in tracking and capturing data, quick data delivery, fast data sharing, saving of time for manual data entry, escape form manual report preparing and printing, better product marketing, on demand data availability, enhancement in customer data integration, better customer contact, enhancement in sales force automation (SFA) processes, and simplification of all procedures are some of the advantages of enterprise data integration processes.

Enterprise data integration consists of a range of data administration techniques like MDI (Master Data Management), EII (Enterprise Information Integration), ETL (Extract-Transform-Load), EAI (Enterprise Application Integration), SOA (Service Oriented Architecture) and CDI (Customer Data Integration). The usual processes involved in enterprise data integration procedure are data consolidation, data federation and data propagation or data migration. Automated leads generation, customer contact management, account management and task management are some applications of enterprise data integration.

The enterprise data processing systems and software programs, commonly known as enterprise data integration solutions access multiple remote databases concurrently, for providing real-time meaningful information and resources. They are software programmed to position right information in right places. The common data storing devices are data marts, data warehouses and data consolidation repositories. All enterprise data entry software programs are integrated with advanced communication tools, either internet-linked or local network-linked, which help them in integrating all resources.

The five levels of an enterprise data integration procedure involves enterprise portals or user interfaces - which deals with the customer contact sites such as payment processing solutions, sale systems and bookkeeping systems; collaboration tools or software programs- which combines all activities; business process management systems- which administrates all business proceedings; enterprise applications integration tools; and systems and enterprise information integration tools.

Good enterprise data integration solution eliminates data latency, false data entry and data pollution. A perfect EII solution must be capable of obtaining data from all company resources and from all data formats like Excel spread sheets, PDF files, sales graphs and pictures, and from other application resources. The solution must provide all wanted information at any time from any where, quickly and smoothly.

The fundamental step in enterprise data integration process is the automation of all data works. All large sized companies and corporations now have their own data integration centers or resource management departments for automating all data related practices. These data management departments are responsible for designing customized integration tools and best practices with change in practices. On the other hand, for medium and small sized companies with small capital investment, managing a separate department for data integration can be difficult. Many enterprise data integration service/software providers now offer services for these companies.

Before implementing an enterprise data integration system, the company must design a data integration architecture using all their data resources. For that the company have to track all operating business unites with in it, and have to give priorities to them. Healing broken data links, organizing a data source system - from which one can access resources, and information hubs, can greatly help in proper data integration implementation.

Today there are many data integration software vendors and service providers in the market. You can find them by just searching on Internet. If you are looking for enterprise data integration software, look for a software vendor who offers customized software packages. Open source software packages are also available which are quite handy, if you have enough technical assistance to customize it. If you are looking for an online service provider, enquire that the provider offers proper security to all your information. Also make sure that the online service provider has enough data integrating capacity.

About the Author
This article has been published by eSalesTrack.com , a US based provider of on-demand CRM (Customer Relationship Management) and other application software such as Sales Force Automation and Data Integration Service. To learn more visit CRM Articles.

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