Bi in telcom sector


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Bi in telcom sector

  1. 1. BI in TelecommunicationSector<br />Presented by:<br />SushantKumar (09BM8052)<br />Amey Kolhatkar (09BM8008)<br />
  2. 2. Indian Telecom Sector<br />The Indian Telecommunications network with 621 million connections (as on March 2010) is the third largest in the world. <br />The sector is growing at a speed of 45% during the recent years.<br />Expected mobile subscriber base will touch around 771 million by the year 2013. <br />
  3. 3. Trend in Telecom Sector<br />Source: TRAI<br />
  4. 4. Major Players<br />
  5. 5. Need for BI in Telecom<br />Customer Profitability: It is imperative they acquire new, profitable customers as well as increase the profitability of existing ones<br />Cross selling: This can be a major source of selling for a telecom company. For effective cross-selling, existing data can be leveraged using business intelligence solutions to quickly zero in on new products that may be required by existing customers.<br />Customer Attrition: Acquiring new customers is much more costly than retaining existing ones. Customer attrition analysis is an essential step in customer retention.<br />Customer Segmentation: Segmentation is used to segregate customers who exhibit common characteristics in different segments.<br />
  6. 6. Need for BI in Telecom<br />Campaign Analysis: Campaign analysis is used to analyze the effectiveness of a marketing or promotion campaign. The effects of a particular campaign on sales of the promoted product can be tracked using business intelligence solutions<br />Forecasting: To plan their networks, telecommunications service providers perform forecasting that helps operators to make key investment decisions<br />Budgeting: Data warehousing facilitates analysis of budgeted versus actual expenditure for various cost heads like promotion campaigns, product development, infrastructure maintenance, investments, commissions, etc.<br />Source: Ingres Insights website<br />
  7. 7. BI at Vodafone<br />Vodafone were able to describe various benefits since implementing their BI solutions:<br />Automated import of measurement data from a wide variety of sources, allowing the automatic creation of up-to-the-minute reports.<br />Constant access to the reports from anywhere and at any time via the intranet or Internet using a Web browser.<br />Standard presentation media; standard layout following corporate identity guidelines.<br />Dynamic selection of the level of detail in the reports.<br />Dynamic creation of trend reports.<br />
  8. 8. BI atRelianceComm<br />Reliance Communications’ performance improvement. <br />Data loading took almost 2 - 3 hours.<br />Greenplum Solution selected the S1004 model of the Sun Data Warehouse Appliance.<br />The time required to turn around a request for detailed call records shrank by over 80%, from multiple days to a few hours.<br />Reduced the average time to load a day’s worth of data by over 90%, from 2 hours to under 10 minutes. <br />
  9. 9. BI atAirtel<br />The company wanted to :<br />Identify the usage patterns at an individual level and<br />Offer each customer customized plans based on his/her usage<br />The company started using BI tools from 1997-98.<br />A key insight that Airtel obtained was that critical business and marketing decisions were being based on daily revenues that were around 15% – 16% less than the actual amount<br />Airtel could possibly leverage its data management expertise in the Value Added Services (VAS) based on consumer usage patterns<br />The decision-making process has effectively moved from an observation to a prediction model<br />
  10. 10. DW Architecture<br />
  11. 11. Data Warehouse (DW) lifecycle<br />
  12. 12. Processes withReportingrequirements<br />
  13. 13. The Bus Matrix<br />
  14. 14. Sales and Marketing<br />
  15. 15. Analysis<br />Which product generated max Revenue in the year 2005 in Mumbai? (Time Year: 2005, Location: Mumbai, Revenue )<br />2) Which year showcased the highest no. of newly added customers? (Group by year in Time, max of count Customers based on DOJ)<br />
  16. 16. Analysis<br />Which promotions has been the most popular and can be used in near future?<br />Which Location has minimum number of mobile connections? <br />Comparative analysis of the performance of sales executives based on factors such as gender, age group, region.<br />
  17. 17. Billing<br />
  18. 18. Analysis<br />Which customers are of the greatest value to the company?<br />How many customers have delayed bill payments in a particular year?<br />Maximum call usage (in minutes) is highest for which region in a particular state?<br />
  19. 19. SCM<br />
  20. 20. Analysis<br />Which product has the highest demand with Retailers in Kharagpur location?<br />Performance of Retailers by location or in a particular period or both.<br />
  21. 21. Call Detail Records<br />
  22. 22. Analysis<br />Which area witnesses the maximum call traffic?<br />What day of week witnesses maximum call traffic?<br />On which day of the year were maximum SMS sent?<br />
  23. 23. BI ReportingTools<br />Major players:<br />1. SAP - Business Objects<br />2. SAS<br />3. IBM- COGNOS<br />4. MICROSOFT SQL SERVER<br />5. Oracle- Hyperion<br />
  24. 24. SAP Reporting and Analysis<br />SAP Crystal Reports – Connect to virtually any data source, design and format interactive reports, and share them internally or externally.<br />SAP BusinessObjectsAnalysis– Perform analysis of multi-dimensional data sets using the tool designed for financial and business analysts.<br />SAP BusinessObjects Web Intelligence – Perform ad hoc queries and intuitive analysis across heterogeneous data sources online or offline.<br />SAP BusinessObjects Predictive Workbench – Mine your information assets to predict future trends.<br />
  25. 25. Conclusion<br />The Telecommunications industry is extremely varied in its adoption of BI solutions. <br />Quite a few companies are in the advanced stages of their BI initiatives; yet there are many that are oblivious of the benefits of BI.<br />With the growth that the telecom sector is witnessing, it won’t be too long before small players also adopt BI as a critical part odd their systems.<br />
  26. 26. Thank you!<br />
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