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Process Timeline
Understanding Business Needs
Identify the client’s objectives, key metrics, and the purpose of data visualization.
Data Collection
Gather raw data from multiple sources such as databases, spreadsheets, and APIs.
Data Cleaning & Preparation
Remove inconsistencies, duplicates, and errors to ensure accuracy in visualization.
Data Analysis & Structuring
Organize data into meaningful categories for better interpretation and insights.
Choosing the Right Visualization Tools
Select appropriate tools like Power BI, Tableau, Google Data Studio, or Excel based on project requirements.
Selecting Suitable Chart Types
Determine the best graphical representation (e.g., bar charts, pie charts, heat maps, dashboards) for better comprehension.
Designing Interactive Dashboards
Develop dynamic dashboards with real-time data updates and user-friendly navigation.
Testing & Refinement
Review and refine visualizations to ensure clarity, accuracy, and effectiveness in decision-making.
Implementation & Deployment
Integrate dashboards and visual reports into business operations for continuous monitoring.
Ongoing Support & Optimization
Provide regular updates, customization, and enhancements based on evolving business needs.
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