tailieunhanh - ESSENTIALS of Business Process Outsourcing 2005 phần 9

Các tổ chức sử dụng BPO để cải thiện các dịch vụ được các cấp độ như trái ngược với tìm kiếm chi phí chỉ tiết kiệm được những người nhiều khả năng gặp phải khó khăn vì hệ thống nội bộ của họ cũng có thể tụt hậu so với các nhà cung cấp công nghệ mới nhất BPO upgrades. | ESSENTIALS of Business Process Outsourcing Organizations that use BPO to improve their service levels as opposed to seeking mere cost savings are those most likely to encounter difficulties because their internal systems may well lag behind the latest technology BPO vendor however has chosen to focus on the specific business process as its core business competence and is likely to be current in its software infrastructure including its database systems. The greater the gap between buyer and vendor software maturity the greater the challenges in database integration and data sharing. It is reasonable if not expected that the burden will be on the vendor to manage database integration. The cost however is likely to be borne at least in part by the buyer. Publishing of Data and Information In addition to the initial data integration challenges which focus on getting the buyer and vendor systems to communicate with one another another important challenge concerns data and information distribution and publishing. During the operating phase of the BPO Life Cycle the vendor is performing service-related transactions that generate new business data and information needs to be distributed to relevant databases and published to relevant screens for use by others in the buyer and vendor organizations. Thorough analysis of data flows is required to ensure at a minimum that the people who need the information generated by the outsourced transactions continue to receive it and receive it in a familiar format and at the right In addition the BPO buyer must be conscious of the potential hidden value in transaction information that is stored in a data warehouse and not destined for immediate additional processing. Data mining refers to the process of analyzing an organization s collected data that has not been immediately routed for additional data are stored in the data warehouse and often contain insights into customers and .

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