Case Study: Business Intelligence At Bouygues Telecom

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5.1.1 Case study: Business Intelligence at Bouygues Telecom

In France, Bouygues Telecom Company is the third largest company established since 1994. In order to keep their market share ahead, they needed competitive advantages, optimization costs and performance for services throughout the enterprise. The company used over 300 data marts independently which generated huge amount of data. In order to analyze these data for the whole enterprise, they needed to create a single enterprise view of data. Moreover, it is important to understand the customer behavior to acquire new customers because mobile markets are very competitive. Analyzing growth rate of data over 3 or 4 data warehouse and over 300 data marts could satisfy some business requirements …show more content…

Before 2007, O2 Ireland had difficulties about analysis with disparate data and to control overall data management because there are a lot of systems using the vast amount of information and analysis for the business units. As a result, although it used an expensive IT infrastructure to manage these analysis, analysis task for an event took up to 10 days after it happened. It makes loss of opportunities. Unified data warehouse strategy (Teredata) overcomes these challenges by bringing all data to a single framework. This intended new programs could be designed without requiring new data source and other facilities, considerably decreasing sum complete of possession. O2 Ireland in Europe provides information from more than 130 different methods to its data warehouse every day. It copies its entire payments and CRM system onto the information factory every day, and some procedures can finish within 15 minutes. Telecommunication company has designed a set of questions to give information to end users for analytics tasks in order to help them accomplish their objectives through BI solutions. Despite the achievements, BI team makes sure that management levels recognize BI as a continuous process, rather than a single project. The most essential thing is to make sure that C-level management recognizes business analytics as a way of working which …show more content…

The numerous amount of data is used for monitoring the traffic and billing events, driving new plans for sales and marketing departments, and gauging business performance. To store and use these huge amount of data, it is really difficult to handle technically, however, it makes profitable information. Moreover, analyzing the reasons for profit and loss is challenging about these vast data (n.d, 2004). Therefore, the main challenge of telecom industry is to handle the huge amount of data which consists of information from billing system, revenue assurance systems, custom relationship management (CRM) system and network management systems. These data increase more and more and it is difficult to retrieve the actionable information from traditional data warehouse in the near real-time (Hafez, 2010). As the technologies are growing, people can find the information for the best vendor using the internet. Therefore it is important to provide the best customer service to get the new customers and keep the existing customers. Organizations need to measure their performance on business process to succeed continuously. The integration and analyzing of whole organization’s knowledge and information into the actionable information lead to the long-term success for these organizations. Organizations need performance measurement to control their business process

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