• Requirements engineering for big data projects

• Process analysis and artifact creation

• Solution architecture and design

• Data pipeline development and optimization

• Data ingestion, storage, and processing solutions

• Integration of structured and unstructured data sources

• Data quality assurance and data cleansing

• Exploratory analysis

• Interactive dashboards and visualizations

• Customized reporting and insights

• Predictive analytics

• Geospatial and temporal data analysis

• Anomaly detection and pattern recognition

• Machine learning and artificial intelligence implementation

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• Roadmap development for analytics initiatives

• Technology evaluation and selection

• Cross-functional collaboration and stakeholder management