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[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Information Technology enabled CRM Technologies Information Technology  enabled CRM  A Comprehensive  CRM Architecture  The Data  Warehouse Contact systems, Operational Systems, Analytical systems  Analysis and Profiling, Campaign  Planning and Management, Customer Interaction, The Data  Warehouse  Customer segmentation,  matching products to customer  Profiles, demographics/ psychographics  Data Marts  Derived from the data warehouse and tailored  to support specific analytical requirement of a given business unit or function   One: Each data mart is meant for solving a business problem Two: data marts will always be smaller than the data warehouses  Three: The operational cost of data marts is high and it is advisable  not to go for a data mart unless it is warranted and essential.
Data Mining Data Mining refers to the overall process of discovering potentially useful Data warehouse of the company Define the Business situation problem and the goal to fulfill Resource finding :Data either online of offline from the source  like ERP, SCM, Production, Sales, Marketing, Web etc  Information Retrieval (IR) :data selection, modeling and filtering  Knowledge Discovery patterns : spider the web efficiently for a specific issue  Validation/Interpretation of the minded patterns  Improved Prospecting, Better market segmentation, Increased Customer Loyalty, More successful cross selling and Up selling, Risk-management
OLAP ( On-line Analytical  Processing )   OLAP systems permit user interaction through graphic or web interface and can provide the information sought by the user online, in a  number of formats including graphics  Relational Online Analytical Processing (ROLAP) where the data is stored in the relational tables  and data is retrieved from data warehouse  Multi Dimensional Online Analytical Processing (MOLAP) it organizes the data in the form of  multidimensional tables
e-CRM Modules ,[object Object],[object Object],[object Object],marketing  collateral management  Enterprises must be able to co-ordinate marketing  communications across channels such as : sales force, telesales,  tele-marketing, direct mail,  fax, e-mail  and Web;  and prevent campaign overlaps or conflicts within channels.  lead management  campaign execution  Marketing Automation Module
Sales Force Automation Module Lead/account management  Contact management  Quote management  Marketing encyclopedia  Forecasting  Win/loss analysis  Sales administration  The following components of the sales process that organizations must  analyses and re-engineer as part of every Sales force automation initiative: Lead generation and tracking, Field sales, Call center telephone sales, Third-party brokers, Distributors or agents, Retail E-commerce, Order management, Order fulfillment, Integration of marketing and customer service functions.
Customer Support and Service Module   Field service and  dispatch technicians  Internet based service  self-service via a Web site  Call centers
Sales Reporting and Analysis Module   Sales territories  Sales representatives  Products/volumes  Revenues  Competitor activity  Dealer/wholesale dynamics Misc Information
Service and Support Performance  Reporting and Analysis Module   Service Analysis Complaint Inventory  Service Inventory Service Rep’s/skill/knowledge Customer feedback
Marketing Reporting and  Analysis Automation   Module Marketing activity analysis Reach of the  advertisement message  how many have responded  Leads generated Conversions Revenues ROI :Rupee spent  on promo vs Revenues
Top CRM Vendors   Siebel  : ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],SAP CRM  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Oracle (CRM 11i)   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Amdocs Clarify  CRM   PeopleSoft  CRM   J.D. Edwards CRM   E.piphany  CRM Optima  (ExSellence) CRM   Onyx Enterprise CRM   Point Information  Systems  CRM Avaya
The Present CRM Market In India  :  1 st  chapter CRM thesis

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Chapter Iv Crm

  • 1.
  • 2. Information Technology enabled CRM Technologies Information Technology enabled CRM A Comprehensive CRM Architecture The Data Warehouse Contact systems, Operational Systems, Analytical systems Analysis and Profiling, Campaign Planning and Management, Customer Interaction, The Data Warehouse Customer segmentation, matching products to customer Profiles, demographics/ psychographics Data Marts Derived from the data warehouse and tailored to support specific analytical requirement of a given business unit or function One: Each data mart is meant for solving a business problem Two: data marts will always be smaller than the data warehouses Three: The operational cost of data marts is high and it is advisable not to go for a data mart unless it is warranted and essential.
  • 3. Data Mining Data Mining refers to the overall process of discovering potentially useful Data warehouse of the company Define the Business situation problem and the goal to fulfill Resource finding :Data either online of offline from the source like ERP, SCM, Production, Sales, Marketing, Web etc Information Retrieval (IR) :data selection, modeling and filtering Knowledge Discovery patterns : spider the web efficiently for a specific issue Validation/Interpretation of the minded patterns Improved Prospecting, Better market segmentation, Increased Customer Loyalty, More successful cross selling and Up selling, Risk-management
  • 4. OLAP ( On-line Analytical Processing ) OLAP systems permit user interaction through graphic or web interface and can provide the information sought by the user online, in a number of formats including graphics Relational Online Analytical Processing (ROLAP) where the data is stored in the relational tables and data is retrieved from data warehouse Multi Dimensional Online Analytical Processing (MOLAP) it organizes the data in the form of multidimensional tables
  • 5.
  • 6. Sales Force Automation Module Lead/account management Contact management Quote management Marketing encyclopedia Forecasting Win/loss analysis Sales administration The following components of the sales process that organizations must analyses and re-engineer as part of every Sales force automation initiative: Lead generation and tracking, Field sales, Call center telephone sales, Third-party brokers, Distributors or agents, Retail E-commerce, Order management, Order fulfillment, Integration of marketing and customer service functions.
  • 7. Customer Support and Service Module Field service and dispatch technicians Internet based service self-service via a Web site Call centers
  • 8. Sales Reporting and Analysis Module Sales territories Sales representatives Products/volumes Revenues Competitor activity Dealer/wholesale dynamics Misc Information
  • 9. Service and Support Performance Reporting and Analysis Module Service Analysis Complaint Inventory Service Inventory Service Rep’s/skill/knowledge Customer feedback
  • 10. Marketing Reporting and Analysis Automation Module Marketing activity analysis Reach of the advertisement message how many have responded Leads generated Conversions Revenues ROI :Rupee spent on promo vs Revenues
  • 11.
  • 12.
  • 13. The Present CRM Market In India : 1 st chapter CRM thesis