BI & GenAI Roadmap with StarwaysIT
Transforming Business Intelligence with Generative AI
Presented by: Radwan Jannan
Apr 2025
Agenda & Overview
Benefits of Business Intelligence
BI Architecture & Process Flow
Data Warehouse and Data Mining in BI
BI Tools & Technologies
Business Cases for the Authority of Narcotics Control
Integrating Generative AI (GenAI) with BI
Roadmap: Step-by-Step Implementation
Next Steps & Q&A
Benefits of Business Intelligence
Enhanced Decision Making
Data-driven insights lead to more informed decisions.
Operational Efficiency
Streamlined processes through automation and analytics.
Competitive Advantage
Identifying trends and market opportunities.
Customer Insights
Better understanding of customer behavior and preferences.
Risk Management
Early detection of potential issues and trends.
Financial Performance
Improved forecasting and budget allocation.
BI Architecture
Data Sources
Structured, semi-structured, and unstructured data from various systems and external sources.
ETL Pipelines
Extraction, Transformation, and Loading processes that prepare data for analysis.
Data Lake vs. Data Warehouse
- Data Lake: Flexible repository for raw data
- Data Warehouse: Optimized for reporting and analytics
BI Tools & Platforms
Integration with analytics, reporting, and visualization tools for insights generation.
Business Intelligence Process Flow
Data Collection
Aggregating data from multiple sources.
Data Cleaning
Removing duplicates, standardizing formats, ensuring quality.
Data Storage
Data Lake
For storing raw, unprocessed data.
Data Warehouse
For structured, query-optimized data.
Analysis Layers
Descriptive Intelligence
What happened?
Diagnostic Intelligence
Why did it happen?
Predictive Intelligence
What will happen?
Prescriptive Intelligence
What should we do?
Visualization & Reporting
Dashboards, reports, and interactive tools to present insights in an accessible format.
Data Warehouse in BI
Purpose
Centralized repository for structured data, serving as the foundation for analytics and reporting.
Schema Design
Star and snowflake schemas for efficient querying, organizing data into fact and dimension tables.
Performance
Optimized for fast, complex analytical queries, with indexing and partitioning for speed.
Foundation
Serves as the basis for higher-level BI analytics, providing a clean, integrated data source.
Data Mining in BI
Definition
Extracting hidden patterns and insights from large datasets using statistical methods, machine learning algorithms, and artificial intelligence techniques.
Techniques
Clustering
Grouping similar data points to identify natural segments in your data.
Classification
Categorizing data into predefined classes or groups based on attributes.
Regression Analysis
Predicting continuous values and understanding relationships between variables.
Benefits
BI Tools & Technologies
BI Platforms
Data Integration Tools
Analytics Software
Emerging Trends
AI & Machine Learning
Augmented Analytics
Cloud-Based BI
Business Cases for the Authority of Narcotics Control
Enhanced Surveillance
Real-time monitoring of narcotics trends and activities, providing immediate intelligence to field officers.
Predictive Analytics
Forecasting hotspots and emerging drug trends to proactively deploy resources and prevention measures.
Compliance & Reporting
Automated and accurate regulatory reporting, ensuring transparency and accountability in operations.
Inter-Agency Collaboration
Centralized dashboards for multiple agencies to share data and coordinate efforts in fighting narcotics crimes.
Resource Optimization
Efficient allocation of personnel and assets based on data-driven insights and operational analytics.
Generative AI + BI (GenAI Integration)
Automated Insights
GenAI generates narratives and context for dashboards, explaining complex patterns.
Natural Language Processing
Conversational interfaces for querying BI systems without technical knowledge.
Dynamic Simulations
Run "what-if" scenarios for strategic planning and resource allocation.
Content Automation
Auto-generation of business reports, marketing strategies, and presentations based on BI data.
Enhanced Collaboration
Real-time human-AI collaboration for brainstorming and decision-making in complex scenarios.
BI Roadmap – Step-by-Step Implementation
Step 0: Initiation
- Define business objectives and KPIs
- Assemble a cross-functional BI team
- Audit and catalog all existing data sources
Phase 1: Descriptive
What Happened?
- Data Integration: Establish ETL pipelines
- Data Cleaning: Standardize datasets
- Storage Setup: Data Lake & Warehouse
- Dashboards & Reports: Initial visualizations
Phase 2: Diagnostic
Why Did It Happen?
- Data Exploration: Drill into trends
- Statistical Analysis: Identify root causes
- Model Enhancement: Multidimensional models
Phase 3: Predictive
What Will Happen?
- Predictive Models: Develop forecasting
- Machine Learning Integration: Classification
- Real-Time Analytics: Live data pipelines
Phase 4: Prescriptive
What Should We Do?
- Decision-support systems
- Scenario simulations
Phase 5: Automated
Automation
- RPA for reporting
- Event-driven insights
Phase 6: Collaborative
Team Integration
- Self-Service BI tools
- Collaborative platforms
Phase 7: GenAI
AI Integration
- Insight generation
- NL interfaces
Final Step: Continuous Improvement
- Performance Monitoring: Continuously track and optimize BI performance
- Expand Use Cases: Scale BI to additional departments
- Ongoing Training: Keep teams updated with evolving tools and AI capabilities
Summary & Next Steps
Key Takeaways
The integration of BI with GenAI creates a robust framework for actionable insights.
A phased roadmap ensures systematic development—from data consolidation to automated, AI-enhanced intelligence.
Tailored business cases (e.g., for narcotics control) demonstrate the flexibility and applicability of this approach.
Next Steps
Initiate Pilot Projects
Begin with a focused proof-of-concept to demonstrate value and gain stakeholder support.
Align Stakeholders
Ensure executive buy-in and begin team training on BI concepts and tools.
Develop Project Plan
Create a detailed timeline, resource allocation, and implementation roadmap.
Q&A and Contact Information
Scan to get the presentation
Contact Information
Thank you for your attention!
We look forward to transforming your Business Intelligence capabilities.