Technology And Data Analysis Flashcards
(17 cards)
1
Q
Components of MIS
A
People
Data
Business Procedure
Hardware
Software
2
Q
Key Features of ERP
A
Modular structure
Real time processing bye
Centralized database
Scalability and Interaction
3
Q
Importance of Enterprise Performance Management
A
- Aligns strategy with Execution
- Improves Decision-Making
- A retail company uses EPM to forecast holiday sales, set revenue targets, and track actual sales againsy goals in realtime
4
Q
Common Functions of DMS
A
- Administrative tasks
- Storage
- Concurrency control
- Centralized view
- Data manipulation
- Data Independence
- Back up Recovery
5
Q
Components of DMS
A
- Storage engine
- Metadata catalog
- Database access language
- Optimization engine
- Data utilities
- Query processor
- Lock manager
- Log manager
- Reporting and Monitoring tools
6
Q
Benefits of DMS
A
- Data integrity and concurrency
- Central storage
- Data sharing and redundancy
- Logical and structural organization of data
- Data back up and recovery
- Multiple views
- System modification
7
Q
Drawbacks of DMS
A
- High investment and maintenance cost
- Expertise requirement
- Complexity
- Server vulnerabilities
8
Q
Key Features of a Data Warehouse
A
- Subject-oriented
- Integrated
- Time Variant
- Non- volatile
9
Q
Types of Data mart
A
Dependent
Independent
Hybrid
10
Q
Why data governance matters?
A
- Cost transparency
- Identify wasteful spending
- Enables better decision-making
- Automation of cost reporting
- Ensures compliance with financial standards
11
Q
Core components of data governance
A
- Data ownership
- Data quality
- Data security and privacy
- Compliance
- Data stewardship
- Metadata management
12
Q
Data Governance Frameworks
A
- COSO FRAMEWORK ( Committee of Sponsoring Organization)
- COBIT FRAMEWORK ( Control Objectives for Information and Related Technologies)
13
Q
5 components of COSO FRAMEWORK
A
- Control environment
- Risk assesment
- Control activities
- Information and communication
- Monitoring
14
Q
4 DOMAINS OF COBIT FRAMEWORK
A
- Plan and organize
- Acquire and implement
- Deliver and support
- Monitor and Evaluate
15
Q
8 phases of life data cycle
A
- Data capture
- Data maintenance
- Data synthesis
- Data usage
- Data analytics
- Data publication
- Data archival
- Data purging
16
Q
Core technologies driving transformation
A
- Robotic process automation
- Artificial intellegence & machine learning
- Cloud computing and SaaS in Finance
- Blockchain
17
Q
4 types of data analysis for accountants
A
- Descriptive analytics - right now?
- Diagnostic analytics - why?
- Predictive analytics - what will happen next?
- Prescriptive analytics - what should we do?