DECISION SUPPORT SYSTEM ARCHITECTURE:

The data management component

Data Collection

SOURCE: Primary / Secondary or External / Internal / Personal

TYPE: ‘Hard’ / ‘Soft’ LEVEL: Strategic / Tactical / Operational

What are the problems with data collection? What gives information quality?

ACCURACY TIMELINESS RELIABILITY RELEVANCE COMPLETENESS CURRENCY INTERPRETABILITY PRESENTATION ACCESSIBILITY

The Data Management sub system of a DSS

Extracts information from internal company databases (specialised integrated database or data warehouse)

Has links to external data sources (Web access)

Interfaces with modelling capabilities, user interface design.

May have a knowledge component (AI capabilities)

Database Management Systems

A DBMS enables greater integration of data, complex file structure, user query facilities.e.g. The university’s DBMS is Oracle. The query facility is through the language SQL

The main type of DSS database organisation is relational.

Data Warehouses

The combination of many data sources into one store, specifically for end user access. This store is separate from the organisation’s records of operations (transaction processing system files) but partly derived from them.

Appropriate in large organisations with different systems which may store the same data for different needs and in different formats.

Data warehousing provides a means for integrating the data from the various systems.

Useful for static (usually historical) data

Data Mininga.k.a. data exploration or data pattern processing

The need for tools to help with data access is due to the complexity and size of many organisation’s databases (data warehouses)

The query can be conducted quickly, and the miner does not need programming skills to explore the database (end user support)

A focus on discovery vs verification

On line Analytical Processing – multidimensional databases

Problems with data warehouses/ data mining may be Data Noise, Missing information, Security, Reliability

Data Visualisation

Incorporates any technology that allows the user to picture the information in a more meaningful way.

GUI (windows and icons applications graphical facilities GIS (geographical information systems) 3D presentations/ animation

Continuing Research and Development

Progress over time…………………….

DATA INFORMATION KNOWLEDGEsources sources sources

tables/ lists documents expertise, experience

facts/ figures concepts, opinions, best practice cases verbal reports shared practice

“hard data” “soft data” intelligence

Continuing Research…..

Intelligent component Intelligent agents (‘detect and alert’

capabilities) on the Internet Case based reasoning and neural

networks (pattern recognition capabilities)

Web integrated database systems