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Unit 6: Data Processing

Data Processing 3

Collaboration, Scheduling, and Monitoring

ICT 110: IT for Business

Session Roadmap (60 Minutes)

  • 0-15 min: Collaboration as a data processing enabler
  • 15-30 min: Workspace platforms and co-creation workflows
  • 30-45 min: Scheduling methods and project execution tools
  • 45-55 min: Monitoring dashboards and KPI governance
  • 55-60 min: Integrated case and final recap

Why Collaboration Matters in Data Processing

Data processing fails when teams work in silos. Collaboration tools create a shared context for faster, higher-quality decisions.
  • Shared files reduce duplicate versions
  • Real-time communication speeds approvals
  • Cross-functional alignment improves execution quality
  • Remote and hybrid teams can operate consistently

Platform Comparison: Workspace vs Teams

Google Workspace

  • Cloud-native collaboration
  • Strong browser-based co-editing
  • Simple and fast for distributed teams

Microsoft Teams + 365

  • Deep Office and desktop integration
  • Structured channels and enterprise controls
  • Strong fit for Microsoft-centric organizations

Data Processing Collaboration Flow

  1. Communicate: Meetings and threaded discussions
  2. Co-create: Shared sheets, docs, and presentations
  3. Store: Version-controlled cloud repositories
  4. Approve: Workflow comments and decision logs

Result: Faster cycle time from analysis to action.

Cloud File Governance

  • Version history: Recover prior work safely
  • Permission controls: Limit access by role
  • Team ownership: Files stay with the organization
  • Continuity: Lower risk from local device failure

Scheduling and Monitoring Loop

  1. Plan: Define tasks, owners, and deadlines
  2. Execute: Deliver work against schedule
  3. Monitor: Track KPI and progress in real time
  4. Review: Analyze variance against plan
  5. Improve: Adjust workflow for next cycle

Scheduling Tool Patterns

Project Platforms

  • Asana, Trello, Jira, MS Project
  • Task dependencies and responsibility mapping
  • Useful for launch and delivery programs

Planning Views

  • Gantt: Timeline and dependencies
  • Kanban: Workflow stage visibility
  • Use both based on project complexity

Monitoring Tool Stack

  • BI Dashboards: Cross-functional KPI tracking
  • Financial Systems: Revenue, expense, cash flow control
  • CRM Systems: Lead pipeline and conversion monitoring
  • Operations Systems: Throughput, quality, and turnaround metrics

Cross-Functional Command Center

Integrated monitoring allows leaders to detect root causes across departments.

Finance

Budget and spending variance

HR

Capacity, hiring velocity, turnover

Operations

Inventory, cycle times, service reliability

Plan vs Reality Execution

Planned

Campaign timeline, budget, owners, and milestones.

Actual

KPI outcomes, spend utilization, lead conversion, and delivery quality.

Operational maturity comes from continuously comparing plan and performance.

Nepal Application Snapshot

E-commerce

Event planning and live monitoring during high-traffic campaigns.

Manufacturing

Production scheduling with real-time supply and output tracking.

FinTech

Sprint-based delivery with service uptime and transaction monitoring.

Key Takeaways

  • 1) Collaboration tools reduce latency in data-driven decisions.
  • 2) Scheduling tools translate strategy into executable work.
  • 3) Monitoring tools expose performance gaps early.
  • 4) Plan-vs-reality review is the core of continuous improvement.
  • 5) Integrated Unit 6 skills enable end-to-end business data processing.

Thank You

Unit 6 complete: Data Processing 1, 2, and 3.


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