EXECUTIVE SUPPORT SYSTEM DEFINITION A reporting tool that


















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EXECUTIVE SUPPORT SYSTEM
DEFINITION Ø A reporting tool that allows you to turn o rganization’s data into useful summarized reports. Ø Provides analysis tools that predicts a series of performance outcomes over time using the input data. Ø Used to analyze both the present data and predicted future data
CHARACTERISTICS Should be beyond an internal data cube Graphical user interfaces lets executives select the area they want to review Users should drill down thru interesting items of data in increasing levels of detail
CHARACTERISTICS Users Key Performance Indicators (KPI) Highlighting by use of colors Some soft information
SCOPE Mainly deals with data related to key departments like billing, accounting, scheduling, etc. Acts as an Analysis Tool Tailored to suite the user requirements Functioning is solely dependent on the skills of the developer.
COMPONENTS 1. HARDWARE 2. SOFTWARE 3. USER INTERFACE 4. TELECOMMUNICATION
1. HARDWARE A. Input Devices B. Central Processing Unit C. Data Storage Device D. Output Devices
2. SOFTWARE A. Text base B. Database C. Graphic base D. Model base
3. USER INTERFACE Several types of interfaces can be available to the ESS structure, such as scheduled reports, menu driven, command language and etc.
4. TELECOMMUNICATION Telecommunication within an ESS can accelerate the need for access to distributed data
5 FUNCTIONAL AREAS ACCOUNTING MARKETING HUMAN RESOURCE PRODUCTION RESEARCH
INFORMATIONFLOW
ESS MODEL
ESS MODEL WORKSTATIONS a special computer designed for technical or scientific applications Intended primarily to be used by one person at a time, they are commonly connected to a local area network and run multiuser operating systems
ESS MODEL DIGITAL DASHBOARDS an electronic interface that aggregates and visualizes data from multiple sources, such as databases, locally hosted files, and web services. S
ADVANTAGES Improved efficiency Increased organizational control Competitive advantage Automation of the managerial processes
DISADVANTAGES System dependent Limited functionality Information overload Benefits hard to quantify Excessive cost for small company
DISADVANTAGES High implementation costs System may become slow, large, and hard to manage Need good internal processes for data management May lead to less reliable and less secure data