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Presentation on use of BI in Telecommunications industry

Presentation on use of BI in Telecommunications industry



IT BI Presentation, Presentation on use of BI in Telecommunications industry

IT BI Presentation, Presentation on use of BI in Telecommunications industry



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  • http://consultantvalueadded.com/2010/04/14/100-kpi%E2%80%99s-for-mobile-telecom-operators/http://blog.maia-intelligence.com/2009/02/27/kpi-for-telecom-industry/http://telecomtigers.blogspot.com/2010/03/kpi-key-performance-indicators.html

Presentation on use of BI in Telecommunications industry Presentation on use of BI in Telecommunications industry Presentation Transcript

  • Business Intelligence for Telecommunications
    • RohitKhandelwal (09BM8042)
    • ArchitMehrotra (09BM8012)
  • Structure
    Introduction about data warehousing and business intelligence
    Its importance in the telecommunications sector
    Key Performance Indicators
    Data Modeling - The Facts and Dimensional Tables
    Major Players
    Future of Data Management in the sector
  • Introduction
    Data Ware housing:
    A warehouse is a subject-oriented, integrated, time-variant and non-volatile collection of data in support of management's decision making process
    Business Intelligence
    Business intelligence (BI) is a broad category of applications and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions
  • Importance in Telecommunication
    Huge amount of data to be handled
    5.5 users/second are added in Indian telecommunication industry
    Provide competitive advantage
    Profit Margin is thin and even small degree of efficiency improvements add up and fund investments
    Modeling of different scenarios
    Source : TRAI
  • Importance in Telecommunication
    Address the requirements of marketing, finance, customer service, sales and engineering departments
    Simultaneous use of data from different departments requires an efficient data management
    Regulatory requirements imposed by TRAI
    Stringent reporting requirement
    Upcoming technologies increases the emphasis of Data management
    number portability
    3G spectrum
  • Importance in Telecommunication
    Effective segmenting, targeting and positioning
    Understanding Customer Usage patterns by analyzing call detail recording (CDRs)
    Trend analysis for area, time and product
    Assists to estimate revenue, volumes and margin of profit
    Categorizing customers into segments according to their behavior and demography that for CRM
    To lunch accurate marketing campaign and improved ability to target new customers.
    Also supports to track the performance of campaign within a period of time that is essential for improving marketing skills
    Constantly monitors the behavioral changes of customer so that companies can immediately response with adequate measures.
  • Key performance Indicators
    Systems and Network Performance Analysis / Capacity Planning
    Grade of service
    Service life of equipment
    Downtime / Time out of service
    Call completion ratio
    Average call duration (ACD)
    Answer-Seizure Ratio (ASR)
    Idle time on network
    Dropped calls
  • Key performance Indicators
    Quality / Usage (Airtime): Analysis of the volume of successful calls
    Mean Opinion Score
    % of land covered with services
    % of population covered with services
    Average land unavailable to services
    Average population unavailable to services
    Access to customer service
  • Key performance Indicators
    Faults and complains (Trouble tickets analysis)
    % of open and level of escalation priority required
    % closed
    Mean time to resolved
    Work in progress
    Customer service level statistics
    Customer Analysis
    ARPU (Average Revenue per User)
    Customer segmentation
    Analysis of subscriptions
    Top N customers
    Churn (No. of Subscriber who stopped using Services or left particular network) - may increase due to number portability
  • Mapping of KPIs – an example
    CDR: What to look for ?
    Attempted vs completed calls
    Type of call – long distance or local
    Length of call
    Originating and terminating number
    Time of call
  • Data warehouse matrix
    Source: The Complete guide to Dimensional modelling by Ralph Kimball, Margy Ross
  • Data Modeling – Facts and Dimensional tables
    Source: The Complete guide to Dimensional modelling by Ralph Kimball, Margy Ross
  • Facts Table
    Customer Transaction
    Caller Tune etc.
    GPRS usage
    Call Waiting, Conferencing, forwarding
    Billing Info
    Online payments
    CRM – Customer complaints and service
  • Dimensional Tables or Reference Tables
    VAS (type of service, charges, usage)
    Customer_info table (corporate or retial, prepaid or postpaid, customer first name, customer last name, billing address, address proof, Sim_number
    Sim_Info (MSISDN no, other attributes)
    Circle_master, Zonal_master
  • Criteria for success – Sybase example
    Extreme performance
    Small Load window
    Support existing tools
    Use existing hardware
    Storage space
    Before sybaseiq spice was spending time & processing cycles to distill the data down to summary tables to make it manageable
    Now sybaseiq gives spice ability to analyze trends across entire Data warehouse
  • Major Players
    Teradata Corporation
    MAIA Intelligence
    Binary Semantics Ltd
    IDC India Ltd.
    Business Intelligence software ElegantJ BI’s Integrated Business Intelligence and Reporting Software capabilities
    Corporate Performance Management, Operational Business Intelligence and Enterprise Data Management System
    Ingres corporation is a leading provider of open source database management software for Telecom service providers
    Source: http://business.mapsofindia.com/business-intelligence/companies.html
  • Future of BI in telecom industry
    Telecom carriers worldwide, including wireline, wireless and cable operators, spent $4.4 billion on BI software, services and system integration in 2010
    That figure is expected to rise by 18.2% to $5.2 billion in 2011. (According to the Yankee Group Report)
    Few companies are in the advanced stages of BI initiatives
    The recent introduction of BI appliances, such as Ingres ICE Breaker BI Appliance, offers a cost effective solution that can reduce the typical BI implementation schedule from months to weeks
    Source: BusInessIntellIgence for the telecommunIcatIons Industry ImprovIng the Bottom lIne and controllIng expenses - Ingres
  • Thank You !!
  • Major BI Applications
    Churn management
    Revenue assurance
    New product launches
    Measuring service success
    Measuring partnership success
    Detecting active and inactive users of mobile service
  • KPIs – SCOR
    Dimensional Design steps
    Dimensional Table attributes
    Key business challenges and how BI helps
    Recommendations – any specific tool
    List of tools available and price information
    Upload on slideshare
  • BI
    BI in Sector & use
    Balance scorecard
    How these KPIs are selected and establish a link.
  • Retail
    Data Modeling
    Survey of practical tools – popular tools industry wise
  • Some of the areas where Business Intelligence tool ElegantJ BI Solutions can be applied to telecom:
    Operations and Budget Analysis - Operations and Budget Analysis enables to monitor from numerous back-end systems that store the data. Helps to monitor budgets, customer satisfaction, sales on a daily basis by executives.
    Capacity management - Capacity management Analysis enables to identifying unused or available IT capacity for cost saving. Helps to provide accurate information on capacity usage of the infrastructure.
    Network operations management - Network operations management Analysis evaluates field technician expenses due to network congestion. Helps to optimise network efficiency after identifying potential areas that needs improvement
    Other Analysis Areas:
    Customer churn management
    Customer and market segmentation
    Fraud management
    Call centre management
    Subscriber usage pattern discovery
    Source: http://www.elegantjbi.com/Solutions/industry_BI_for_Telecommunication.htm
  • Business Intelligence Advantages
    Discover new revenue torrents and ways to fine tune operations for improving customer experiences.
    Powerful analysis up to individual call detail records (CDR) with unmatched scalability.
    Advanced analytical functions for monitoring financial data and analysing models to develop loyalty amongst customers.
    Robust security of customers’ financial and personal data.
    Expressive information on customer activity for suggestions on better service plans at an offer that will benefit them.
    Information on service and network status with operational data from all business areas.
    Monitor workforce expenses on customer services like call centers and technical staff by maximizing individual’s efficiency.
     Moreover, with ElegantJ BI balanced scorecard implementation organizations across all industries can achieve continuous improvement through Key Performance Indicators (KPIs) or Key Performance Metrics enabled process performance monitoring against the set targets - KPI for Telecom, KPI for Retail, KPI for Manufacturing, KPI for Pharmaceuticals, KPI for Healthcare, KPI for Hospitality & Entertainment, KPI for Life Science, KPI for Oil, Gas & Energy, KPI for Transportation & Travel, KPI for Banking, KPI for Finance Services, KPI for Insurance, KPI for Utilities, KPI for Shipping, KPI for Education, KPI for Consumer Packaged Goods and KPI for Government & Public Sectors.
    Source: http://www.elegantjbi.com/Solutions/industry_BI_for_Telecommunication.htm
  • Analyze –
    blocking effectiveness and appropriateness to figure out congestion
    Change in Usage patterns – over, under and no usage
    Screen codes and IDDD errors
    Routine verification
    Provisioning information
    Promotional offers
    Fasting troubleshooting and repair in case of call drops
    Improve staff efficiency
    Improve customer care response time (billing etc)
    Minimize fraud settlement
  • Reactive to proactive Application/BI use Source of data Purpose of Benefit Statutory reporting Financial data; Regulatory compliance sales and (general ledger) cost figures Customer segmentation Billing data; Targeted marketing customer data new product development Revenue assurance/ Network data Identifying sources of fraud detection revenue leakage; best cost routing Business performance Financial and Supporting decision making; metrics in various operational identifying cost savings areas data and improvements Devising ways of Event-based Estimating success of measuring the records, IP new service types success of new and data records complex services Partner and channel Externally Estimating success of joint performance metrics sourced channel ventures and partnerships; information optimizing channel strategy combined with internal sales and service data Real-time BI/Sales/ Historic and Assisting staff in all Portfolio management operational data types of complement of operation with full information to make immediate decisions Web analytics Web traffic data Will become more when self-service significant becomes the norm Merging unstructured Access to text Providing new information data sources sources e.g. to all areas of the call center business records, old contracts, proposals COPYRIGHT 2007 Questex Media Group, Inc.
    COPYRIGHT 2008 Gale, Cengage Learning