Question

1.Describe two key system-oriented / technology trends that have brought IS-supported decision making to the forefront of the decision analysis field in recent years.

2.List and describe two capabilities of computing that can facilitate good managerial decision-making.

3. How can information systems and tools help overcome the cognitive limits of humans?

Answer 1

1. solution:

Key system-oriented trends that have brought IS- supported decision making to the forefront of the decision analysis field are as follows.

1. Data Warehouses and Big Data: The right Decision analysis is done based on the information we have. This information is generated continuously. The various information sources may be common observations, documents, speeches, pictures, organisations and sensors. This generated information from various sources is to be collected and stored at some space. the traditional Data Base Management Systems are not sufficient for storing this data. Improvement in storage system fosters the Decision making. Data Warehouse is an improved electronic storage of large amounts of data which can collect and integrate the data from various sources to provide meaningful insights of a business.

2. Data Management applications: The improvement in the database management applications like Oracle RDBMS, IBM DB2, SAP Sybase ASE, Teradata, My SQL facilitates the data access, data integration, database development and Management for further analysis.

3. Data Processing tools: Data processing involves in calculation, validation, transformation, sorting, classification and interpretation of data. The tools available in present days like Hadoop, Cassandra, couchDB etc..improves the efficiency of decision making systems .

4. Knowledge Management System and tools: Knowledge Management System stores and retrieves the information from the available data to improve understanding , collaboration and process alignment. Some of the knowledge management tools like content repositories, communication tools, Knowledge visualisation, knowledge search tools improves the knowledge extraction process in decision making systems.

5. Group Communication and collaboration tools: The tools like Goto meeting, Flowdock, Slack, dapulse facilitates the group/ team of people for conducting meetings online for discussions and decision making.

6. Improved Analytical and Decision Support Systems: These systems uses the time oriented, integrated data from multiple sources, automates the processes like reviews and optimisation of business operations.

2. solution:

Decision making is done better with the right information at right time.

1. Computerized Decision support can help in transfer and organise knowledge.

2. Decision Support Systems facilitates the managers with independence in retrieving and analyse the required data for proper decision making.

3. Analytical models allows the business processes to be optimised through frequent reports and reviews.

3. solution:

cognitive limits indicates that human's problem solving capability is limited when diverse information and knowledge is required.

1. Humans cannot process huge amounts of data as of like information systems.

2. Humans cannot process the data accurately as Information systems.

3. Information systems supports the human capabilities by allowing the analysis of huge amount of data in identifying the patterns which humans cannot perceive.

4.Information systems do not have cognitive biases as humans have.