5. Categorize these decision using the DSS framework Type of Control Type of Decision Operational Managerial Control Control Accounts receivable Budget analysis Accounts payable Short-term forecasting Structured Order entry Personnel reports Make-or-buy Production scheduling Credit evaluation Inventory control Budget preparation Plant layout Semistructured Project scheduling Reward system design Inventory categorization Strategic Planning Financial management ! Investment portfolio Warehouse location Distribution systems Building a new plant 6 Mergers & acquisitions Now product planning Compensation planning Quality assurance HR policies Inventory planning R&D planning New tech development Social responsibility planning Buying software Approving loans Operating a help desk Selecting a cover for a magazine 8 Negotiating Recruiting an executive Buying hardware Lobbying Unstructured Choose a Business Organization/ Department and answer the following questions. Introduction: "Here, write a short background about your department/company that reflects your main business activities and processes." 1. What kind of knowledge is needed for your department? (will help in defining the content of your BI system) Knowledge about customers. Knowledge about employees. Cost of operations Etc... 2. Why do you need this knowledge? (will help in defining the types of decisions) To determine potential improvements such as automation of processes. Cost of operations To estimate cost. Knowledge about employees AND Cost of operations Evaluate operations, employees, competitors etc.... Knowledge about customers Market research 3. Give at least four examples of practices in your department/company that require decision making. 4. What decision stages do your processes include and who are involved in them? (will help in categorizing decisions in the DSS framework) Intelligence Organization objectives Search and scanning procedures Simplification Reality Data collection Ansumptions Problem identification Problem ownership Problem classification Problem statement Problem Statement Design Validation of the model formulate a model Set criteria for choice Search for alternatives Success Predict and measure outcomes Alternatives Choice