
MIS builds on TPS data and provides reports for planning and control.
B2B transactions occur between two businesses (e.g., manufacturer and supplier).
GIGO means garbage in, garbage out—poor data quality leads to poor information output.
SaaS delivers complete software applications through the internet (subscription/online access).
DSS supports semi-structured decision making through what-if, simulation and analytical models.
Operational databases support daily transactions; data warehouses store integrated historical data for analysis.
Prescriptive analytics recommends actions/decisions using optimization and rules.
DBMS is Database Management System, software used to manage databases.
Unit testing validates individual program units/modules before integration.
Detective controls identify issues (e.g., logs, exception reports) after occurrence.
AI supports prediction, automation, and decision support (e.g., fraud detection, forecasting).
Feedback provides information about performance to correct deviations and improve the system.
Sales force automation helps manage leads, opportunities, follow-ups and pipeline.
Big data is often described using 5Vs: Volume, Velocity, Variety, Veracity, and Value.
Standards give measurable requirements (e.g., password length) to implement a policy effectively.
MIS supports management functions like planning, control and decision making through timely information.
Foreign key links one table to another by referencing a primary key in a related table.
Strategic decisions like entering a new market are unstructured and need judgement, supported by ESS.
Waterfall follows sequential phases and works best when requirements are clear and not changing frequently.
TPS captures transactions; MIS summarizes; DSS analyzes; ESS supports strategic decisions with dashboards.
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