The document discusses the importance of Business Intelligence (BI) in transforming raw data into actionable insights for informed decision-making in organizations. It highlights the synergy between data mining, artificial intelligence (AI), visualization, and expert knowledge, using Starbucks as a case study to illustrate successful BI applications such as site selection, marketing strategies, and menu customization. Ultimately, the document emphasizes how intelligent BI systems contribute to operational efficiency, competitive advantage, and enhanced customer experiences.

1. “Operating a business
based on intuition instead
of data is like taking a
cross country road trip
with a broken
speedometer.”
By Erandika Lakmali

2. Introduction to Business Intelligence (BI)
“Business Intelligence (BI) is a strategic approach to transforming raw data into actionable
insights, enabling organizations to make informed decisions. It encompasses a set of
technologies, processes, and tools that play a crucial role in the decision-making processes
of modern businesses.”
Facilitates
Informed Decision-Making
Helps to Gain
Competitive Advantage
Enhance
Efficiency & Productivity
By Erandika Lakmali

3. Data Mining Artificial Intelligence (AI)
Key Factors
in
Business Intelligence
Visualization Expert Knowledge
By Erandika Lakmali

4. Synergizing Forces:
Unveiling the Power of Data
Mining, AI, Visualization,
and Expert Knowledge in
Crafting Intelligent BI
Systems
G.D.Erandika Lakmali
By Erandika Lakmali

5. Synergy of Factors in
Intelligent BI
By Erandika Lakmali

6. Visualization
Extracting Valuable
Insights from Raw Data
Integration of
AI Algorithms
Enabling Adaptive Learning
and Real-time Decision-
making
Enhancing the
Understanding,
Relevance, and
Accuracy of Insights
Derived
Raw Data
Domain-specific
Expertise
Contextual Output
for
Decision-Making
Data Mining
Translating Analytical
Findings into Visually
Intuitive
Representations
Intelligent
BI
System
By Erandika Lakmali

7. Real-World Examples
By Erandika Lakmali

8. By Erandika Lakmali

9. Starbucks: Brewing
Success with Intelligent BI
Data Mining for Store Location Strategies
o Starbucks utilizes data mining to analyze;
• Consumer Demographics
• Population Density and Income Levels
• Traffic Patterns and Public Transport Hubs
o This comprehensive analysis guides strategic
decisions for selecting successful store locations
Benefits:
o Informed Decision-Making: Data-driven insights
enhance ability to make informed decisions about
where to open new stores
o Operational Efficiency: Efficiently placing stores based
on data analysis contributes to operational success
By Erandika Lakmali

10. Starbucks: Brewing
Success with Intelligent BI
AI in Customizing Marketing Strategies
o Starbucks leverages AI algorithms to customize
marketing campaigns based on regional preferences and
weather conditions
o Example:
• “Summertide - grab a Frappuccino” promotion during
a heatwave in Memphis
Benefits:
o Targeted Promotions: AI-driven customization ensures
promotional efforts align with local preferences and
events
o Increased Engagement: Dynamic campaigns capture
local market interests, leading to increased customer
engagement
By Erandika Lakmali

11. Starbucks: Brewing
Success with Intelligent BI
Visualization for Consumer Insights
o Starbucks employs visualization tools to interpret data
gathered from loyalty programs like “My Starbucks
Rewards”
o Visualization aids in understanding consumer
behavior, preferences, and usage patterns
Benefits:
o Personalized Offers: BI-driven visualizations enable
Starbucks to generate tailored customer offers during
peak purchasing times
o Enhanced Customer Experience: Visualization tools
contribute to a more personalized and engaging
customer experience By Erandika Lakmali

12. Starbucks: Brewing
Success with Intelligent BI
Infusing Domain Expertise for Menu
Customization
o Starbucks infuses domain expertise to customize
menus based on regional preferences and cultural
nuances
o Example:
• “Starbucks evenings” introduced in areas with high
alcohol consumption
Benefits:
o Cultural Sensitivity: Expertise-driven menu adaptations
showcase Starbucks' cultural sensitivity and
responsiveness
o Increased Sales: Aligning with local preferences results
in increased sales and customer satisfaction
By Erandika Lakmali

13. Starbucks: Brewing
Success with Intelligent BI
AI & Data Analytics in Supply Chain
Optimization
o Data-driven inventory management ensures stock
aligns with customer preferences
o Starbucks uses AI to optimize order fulfillment,
reducing wait times & enhancing the overall customer
experience
Benefits:
o Cost Savings: AI-driven supply chain optimization
results in significant cost savings through waste
reduction
o Improved Customer Experience: AI in order fulfillment
reduces wait times, enhancing the overall customer
experience
By Erandika Lakmali

14. Thank You !
By Erandika Lakmali