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Data Analytics - Complete Delivery Guide

Analytics & BI Insights 4-12 Weeks

Overview​

Data Analytics transforms raw data into actionable insights, helping businesses make informed decisions through statistical analysis and visualization.

Business Impact​

  • Better Decisions: Data-driven strategy
  • Efficiency: Identify improvements
  • Revenue Growth: Optimize operations
  • Risk Reduction: Predict issues
  • Competitive Advantage: Market insights

Pricing Guidelines​

Basic Analytics: β‚Ή80,000-β‚Ή2,00,000

  • Data collection setup
  • Basic analysis
  • Simple dashboards
  • Monthly reports
  • 4-6 weeks

Standard Analytics: β‚Ή2,50,000-β‚Ή6,00,000

  • Multiple data sources
  • Advanced analysis
  • Interactive dashboards
  • Predictive models
  • 8-12 weeks

Enterprise Analytics: β‚Ή7,00,000-β‚Ή25,00,000+

  • Complex data integration
  • Machine learning models
  • Real-time analytics
  • Custom BI platform
  • 12-20 weeks

Services Offered​

Data Collection:

  • Data source integration
  • ETL pipelines
  • Data warehousing
  • Real-time data streaming

Analysis:

  • Descriptive analytics
  • Diagnostic analytics
  • Predictive analytics
  • Prescriptive analytics

Visualization:

  • Dashboards
  • Reports
  • Interactive visualizations
  • Mobile analytics

Advanced Analytics:

  • Machine learning
  • Statistical modeling
  • Forecasting
  • Segmentation

Execution Process​

Phase 1: Discovery​

  • Business objectives
  • Data sources identification
  • KPIs definition
  • Requirements gathering

Phase 2: Data Integration​

  • Data source connection
  • ETL pipeline setup
  • Data warehouse design
  • Data quality checks

Phase 3: Analysis​

  • Exploratory analysis
  • Statistical analysis
  • Model development
  • Insights generation

Phase 4: Visualization​

  • Dashboard design
  • Report creation
  • Interactive visualizations
  • Mobile optimization

Phase 5: Deployment​

  • Production deployment
  • User training
  • Documentation
  • Monitoring setup

Deliverables​

  • Data integration pipelines
  • Analytics dashboards
  • Reports (automated)
  • Predictive models
  • Documentation
  • Training materials

Tools & Technologies​

Data Integration:

  • Apache Airflow
  • Talend
  • Fivetran
  • Custom ETL

Data Warehousing:

  • Snowflake
  • BigQuery
  • Redshift
  • Azure Synapse

Visualization:

  • Power BI
  • Tableau
  • Looker
  • Data Studio

Analytics:

  • Python (pandas, scikit-learn)
  • R
  • SQL
  • Spark

Last Updated: January 2026
Version: 1.0