Bis-ch7

• Executive Support Systems (ESS)

  Powerful tools designed to support leaders in making informed decisions

  
• Executive Support Systems (ESS)

  Provide access to real-time data, advanced analytics, and decision support functionalities to empower executives to effectively navigate complex business environments

  
• ESS

  • Drill-down capabilities to uncover insights and make data-driven decisions with confidence
  • Scenario modeling to simulate various business scenarios, assess potential outcomes, and devise strategies to achieve organizational goals
• Information Overload

  • Executives face a deluge of data from various sources, making it difficult to focus on critical insights
  • Data is often intricate and interconnected, requiring executives to decipher complex datasets
  • Quick decision-making is hindered by the time needed to analyze vast amounts of data
• Scenario Modeling: Entering a New Market

  1. Baseline Scenario: Maintain operations in the current city

  2. Optimistic Scenario: Successful expansion to the new city with high customer demand

  3. Pessimistic Scenario: Challenges establishing a customer base in the new city

  4. Neutral Scenario: Moderate customer demand in the new city
• Baseline Scenario

  • Steady revenue based on current customer base
  • Limited growth potential due to market saturation in the current city
• Optimistic Scenario

  • Increased revenue from new customers in the additional location
  • Potential for brand recognition and wider market share
  • Challenges include setting up new bakery operations, staffing, and marketing in the new city
• Pessimistic Scenario

  • Difficulty competing with established bakeries in the new city
  • Unexpected costs associated with rent, permits, and marketing in a new location
  • Lower than anticipated customer demand leading to potential losses
• Neutral Scenario

  • The bakery expands to the new city with moderate success
  • Steady revenue growth from the new location, but not as high as in the optimistic scenario
  • Some challenges in establishing a customer base but manageable
• Factors Influencing Scenarios: The optimistic scenario could be more likely with factors like unique offerings not available in the new city or strategic partnerships with local businesses
• Data and Research: Research on competitor landscape, demographics, and consumer preferences in the new city would be crucial
• Decision Making: Based on the modeled scenarios, the bakery can assess the potential risks and rewards of expansion
• ESS

  • Easy to Use: Designed for minimal technical expertise
  • Real-Time Data: Up-to-date information from internal and external sources
  • Data Visualization: Charts, graphs, and dashboards for clear data presentation
  • Drill-Down Capabilities: Explore details behind summarized data
  • Communication and Collaboration Features: Secure data sharing and group discussions
• Real-World Examples of ESS in Action

  • Finance: Real-time market data analysis, portfolio management, risk assessment
  • Manufacturing: Production monitoring, supply chain optimization, inventory control
  • Healthcare: Patient data analysis, treatment planning, resource allocation
• The Future of ESS

  • Artificial Intelligence (AI): AI-powered analytics can extract deeper insights from data, automating tasks and providing predictive capabilities
  • Big Data: ESS will need to adapt to handle the ever-growing volume and complexity of data for informed decision-making
  • Mobile Access: The ability to access and interact with ESS on mobile devices has become increasingly important for executives on the go