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Decision Making Analytics in Managing Organizations

This white paper explores the importance of informed decision making in the organizational context and discusses the use of decision making analytics to improve effectiveness. It covers topics such as strategic direction, implementation, complexity, uncertainty, and the components of a decision support system.

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Decision Making Analytics in Managing Organizations

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  1. Organizational Context Managing OrganizationsInformed decision making as a prerequisite for success Vision Mission Values, Purpose, Structure, Politics, Environment, etc. Givens Strategic Direction Policies, Goals, and Objectives What should be done ? Decision Making Analytics, Decision Making When and how ?? Implementation Project Management Action

  2. Complexity What does it add up to? Uncertainty What can happen? MODELS INTELLIGENCE DATA DESIGN CHOICE Managerial Decision MakingInformation Technology Solutions for Improving Effectiveness Structuring Relationships Problem Representation Generation of Alternatives Variables (Measures and Estimates) Probabilities and Estimates Spreadsheet Models for managing complex relationships and detail Decision Analysis and Influence Diagrams for Visualizing Models and Choices

  3. Components of a DSSCreating Information Under Conditions of Uncertainty and Complexity Information Technology for Enterprise Strategic Systems DATABASE MODELBASE Enterprise Data Application Models DBMS MBMS DATA WAREHOUSING ON LINE ANALYTICAL PROCESSING Business Reporting

  4. White Paper: Customer-centric intelligent eBusiness from I2 Customer-Centric Intelligent eBusiness

  5. Demand Planning 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)

  6. Enterprise Wide Decisions Goals/Strategy Pricing Promotion Loyalty Demand Marketing Consumers Capacity Labor Materials Quantity Production Suppliers Cash flow Debt/Equity Investments Revenues Finance Investors

  7. Strategic Apps. Tactical Apps. Business Applications in the Extended Enterprise Suppliers Customers Consumers Materials/Components SCM Applications ERP Applications CRM Applications Business Intelligence

  8. Decision Making BusinessIntelligence “Actionable” Information Business Modeling Report Warehouse And Document Mart Data Warehouse And Data Marts Knowledge Management PROJECT MANAGMENT Business Analytics Data Analysis and Data Mining

  9. 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. Stages in Business Intelligence

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