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IBMRD Ahmednagar

The document discusses business intelligence and decision making. It covers topics like managing organizations, informed decision making, strategic direction, managerial decision making, information technology solutions, components of a decision support system, enterprise strategic systems, demand planning, enterprise wide decisions, business applications in the extended enterprise, business analytics, knowledge management, and the stages of business intelligence. The overall focus is on how information technology can help improve decision making across organizations.

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Alok Srivastava Managing Organizations Informed decision making as a prerequisite for success Action Vision Mission Policies, Goals, and Objectives Givens Values, Purpose, Structure, Politics, Environment, etc. What should be done ? Analytics, Decision Making When and how ?? Strategic Direction Decision Making Implementation Project Management
Alok Srivastava Managerial Decision Making Information Technology Solutions for Improving Effectiveness INTELLIGENCE CHOICE DESIGN DATA MODELS Variables (Measures and Estimates) Probabilities and Estimates Structuring Relationships Problem Representation Generation of Alternatives Decision Analysis and Influence Diagrams for Visualizing Models and Choices Spreadsheet Models for managing complex relationships and detail
Alok Srivastava Components of a DSS Creating Information Under Conditions of Uncertainty and Complexity MODEL BASE DATA BASE MBMS DBMS DATA WAREHOUSING ON LINE ANALYTICAL PROCESSING Business Reporting Application Models Enterprise Data Information Technology for Enterprise Strategic Systems
Alok Srivastava White Paper: Customer-centric intelligent eBusiness from I2 Customer-Centric Intelligent eBusiness
Alok Srivastava Demand Planning Intense competition, changing customer expectations and highly volatile market developments are making demand planning increasingly difficult – yet increa-singly important. Now imagine having real-time demand data... ..collated from historical sales development, from your customers and your supply chain partners, including POS data. The SAP APO Demand Planning module adjusts figures dynamically and alerts you automatic-ally to sudden shifts in demand patterns. Multidimen-sional data models and analysis functions allow you to view and scrutinize the information available in many different ways. And you can combine this module with the powerful analysis features of the SAP BW. You can even simulate the impact of new marketing strategies on demand. More Information Functions in Detail Demand Planning (PDF, 1.3 KB) Demand Planning
Alok Srivastava Enterprise Wide Decisions Goals/Strategy Marketing Demand Pricing Promotion Loyalty Consumers Production Finance Capacity Labor Materials Cash flow Debt/Equity Investments Quantity Revenues Suppliers Investors
Alok Srivastava Business Applications in the Extended Enterprise Tactical Apps. Strategic Apps. Suppliers Customers ERP Applications SCM Applications CRM Applications Materials/Components Consumers Business Intelligence
Alok Srivastava Business Analytics Data Analysis and Data Mining Business Modeling Knowledge Management “Actionable” Information Report Warehouse And Document Mart Data Warehouse And Data Marts Business Intelligence PROJECT MANAGMENT Decision Making
Alok Srivastava What Is Business Intelligence? ? Originally a term coined by the Gartner Group in 1993, Business Intelligence (BI) is a broad range of software and solutions aimed at collection, consolidation, analysis and providing access to information that allows users across the business to make better decisions. ? The technology includes software for database query and analysis, multidimensional databases or OLAP tools, data warehousing and data mining, and web enabled reporting capabilities. ? Applied across disciplines but especially in Customer Relationship Management (CRM), Supply Chain Management (SCM) Enterprise Resource Planning Provide better, faster and more accessible reports
Alok Srivastava Stages in Business Intelligence

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edss.ppt

  • 1. Alok Srivastava Managing Organizations Informed decision making as a prerequisite for success Action Vision Mission Policies, Goals, and Objectives Givens Values, Purpose, Structure, Politics, Environment, etc. What should be done ? Analytics, Decision Making When and how ?? Strategic Direction Decision Making Implementation Project Management
  • 2. Alok Srivastava Managerial Decision Making Information Technology Solutions for Improving Effectiveness INTELLIGENCE CHOICE DESIGN DATA MODELS Variables (Measures and Estimates) Probabilities and Estimates Structuring Relationships Problem Representation Generation of Alternatives Decision Analysis and Influence Diagrams for Visualizing Models and Choices Spreadsheet Models for managing complex relationships and detail
  • 3. Alok Srivastava Components of a DSS Creating Information Under Conditions of Uncertainty and Complexity MODEL BASE DATA BASE MBMS DBMS DATA WAREHOUSING ON LINE ANALYTICAL PROCESSING Business Reporting Application Models Enterprise Data Information Technology for Enterprise Strategic Systems
  • 4. Alok Srivastava White Paper: Customer-centric intelligent eBusiness from I2 Customer-Centric Intelligent eBusiness
  • 5. Alok Srivastava Demand Planning Intense competition, changing customer expectations and highly volatile market developments are making demand planning increasingly difficult – yet increa-singly important. Now imagine having real-time demand data... ..collated from historical sales development, from your customers and your supply chain partners, including POS data. The SAP APO Demand Planning module adjusts figures dynamically and alerts you automatic-ally to sudden shifts in demand patterns. Multidimen-sional data models and analysis functions allow you to view and scrutinize the information available in many different ways. And you can combine this module with the powerful analysis features of the SAP BW. You can even simulate the impact of new marketing strategies on demand. More Information Functions in Detail Demand Planning (PDF, 1.3 KB) Demand Planning
  • 6. Alok Srivastava Enterprise Wide Decisions Goals/Strategy Marketing Demand Pricing Promotion Loyalty Consumers Production Finance Capacity Labor Materials Cash flow Debt/Equity Investments Quantity Revenues Suppliers Investors
  • 7. Alok Srivastava Business Applications in the Extended Enterprise Tactical Apps. Strategic Apps. Suppliers Customers ERP Applications SCM Applications CRM Applications Materials/Components Consumers Business Intelligence
  • 8. Alok Srivastava Business Analytics Data Analysis and Data Mining Business Modeling Knowledge Management “Actionable” Information Report Warehouse And Document Mart Data Warehouse And Data Marts Business Intelligence PROJECT MANAGMENT Decision Making
  • 9. Alok Srivastava What Is Business Intelligence? ? Originally a term coined by the Gartner Group in 1993, Business Intelligence (BI) is a broad range of software and solutions aimed at collection, consolidation, analysis and providing access to information that allows users across the business to make better decisions. ? The technology includes software for database query and analysis, multidimensional databases or OLAP tools, data warehousing and data mining, and web enabled reporting capabilities. ? Applied across disciplines but especially in Customer Relationship Management (CRM), Supply Chain Management (SCM) Enterprise Resource Planning Provide better, faster and more accessible reports
  • 10. Alok Srivastava Stages in Business Intelligence