DATA QUALITY & INFORMATION SYSTEMS

• What are the key components of the Information System in Business Analytics?

  • Business Continuity
  • Budget (KTLO vs Enhancements)
  • Roadmap & Backlog Refinement
  • Service Delivery & Support Framework
  • Change Management & Adoption
  • “Fit For Purpose” Operating Model
  • RACI
  • Upstream / Downstream Gap Analysis
  • Business Critical vs Discretionary
• What is the focus of Business Analytics?

  Focus on strategic desired outcomes
• What does continuous monitoring lead to in Business Analytics?

  Continuous improvement
• Why is it important to define what success looks like before selecting KPIs/OKRs?

  To ensure alignment with strategic goals
• What are the Big V’s of Big Data?

  • Volume
  • Velocity
  • Variety
  • Veracity
  • Value
• What are the key aspects of Data Lifecycle Management?

  1. Data Creation
  2. Data Storage
  3. Data Usage
  4. Data Sharing
  5. Data Archiving
  6. Data Disposal
• What is a data lake?

  A distributed file store that holds high volumes of large files in various formats
• What is the purpose of real-time message ingestion in big data architecture?

  To capture and store real-time messages for stream processing
• What is stream buffering in big data solutions?

  It captures and stores real-time messages for processing
• What is the role of batch processing in big data solutions?

  To process large data files using long-running jobs
• What does Azure Synapse Analytics provide?

  A managed service for large-scale, cloud-based data warehousing
• What is the purpose of orchestration in big data solutions?

  To automate workflows that transform and move data
• What are the phases of the Data Lifecycle?

  1. Data Creation
  2. Data Storage
  3. Data Usage
  4. Data Sharing
  5. Data Archiving
  6. Data Disposal
• Why is ensuring the accuracy and relevancy of data crucial during data creation?

  It sets the tone for subsequent phases
• What is the key consideration for data storage?

  Balancing accessibility, security, and cost-effectiveness
• What does data usage involve?

  Active use of data to make decisions and drive innovation
• What is the importance of data sharing within an organization?

  To facilitate collaboration and leverage synergies
• What is the purpose of data archiving?

  To keep inactive data for long-term retention
• What is the final phase of the data lifecycle?

  Data disposal
• Why is secure data disposal important?

  To prevent unauthorized access to sensitive information
• What are the key considerations for data disposal?

  • Ensuring data is irretrievably destroyed if sensitive
  • Complying with legal and environmental standards
• What are the key components of effective change management?

  • Business Continuity
  • Budgeting
  • Roadmap & Backlog Refinement
  • Service Delivery & Support Framework
  • Stakeholder Management
• What is the significance of a digital mindset in Business Analytics?

  • Embracing technology
  • Enhancing digital literacy
  • Adapting to digital transformations
• What are the key strategies for professional development in Business Analytics?

  • Continuous learning
  • Coaching and mentoring
  • Skill enhancement
• How do business goals relate to Kaizen in Business Analytics?

  • Business goals drive continuous improvement
  • Kaizen focuses on incremental changes
• What is the role of governance in Business Analytics?

  • Ensuring compliance
  • Managing risks
  • Promoting a culture of accountability
• What are the key considerations for integrating technology in Business Analytics?

  • Efficiency and effectiveness
  • Standardization of processes
  • Leveraging capabilities
• What is the importance of stakeholder management in Business Analytics?

  • Building relationships
  • Ensuring alignment with goals
  • Facilitating communication
• What are the key aspects of communication management in Business Analytics?

  • Clear messaging
  • Timely updates
  • Engaging stakeholders
• What is the significance of engagement management in Business Analytics?

  • Fostering collaboration
  • Enhancing participation
  • Building trust
• What are the key elements of requirements management in Business Analytics?

  • Gathering stakeholder needs
  • Prioritizing requirements
  • Ensuring clarity and alignment
• What is the role of technology strategy in Business Analytics?

  • Aligning technology with business goals
  • Enhancing operational efficiency
  • Supporting data-driven decision making
• What are the key components of operations management in Business Analytics?

  • Process optimization
  • Resource allocation
  • Performance measurement
• What is the significance of risk management in Business Analytics?

  • Identifying potential risks
  • Mitigating impacts
  • Ensuring business continuity
• What are the key aspects of audit and traceability in Business Analytics?

  • Ensuring data integrity
  • Tracking changes
  • Supporting compliance
• What is the importance of marketing analytics in Business Analytics?

  • Understanding customer behavior
  • Optimizing marketing strategies
  • Measuring campaign effectiveness
• What are the PMI Knowledge Areas in project management?

  • Integration Management
  • Scope Management
  • Schedule Management
  • Cost Management
  • Quality Management
  • Resource Management
  • Communication Management
  • Risk Management
  • Procurement Management
  • Stakeholder Management
• What are the PMI Process Groups in project management?

  • Initiating
  • Planning
  • Executing
  • Monitoring and Controlling
  • Closing
• What tools and techniques are used in project management?

  • Gantt charts
  • Critical Path Method
  • SWOT analysis
  • Risk assessment tools
• What is the significance of talent strategy in Business Analytics?

  • Attracting skilled professionals
  • Retaining top talent
  • Developing employee capabilities