BUSINESS INTELLIGENCE — HOW DATA DRIVES BUSINESS
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Business Intelligence What drives business
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Transcript of BUSINESS INTELLIGENCE — HOW DATA DRIVES BUSINESS
Business IntelligenceWhat drives business
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Robert CarlsonManager – Business Intelligence
Business Intelligence- What Drives Business
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Observation
Practice Makes Perfect
Information in Small Amounts
Information Builds Confidence
Feedback is Information
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Predictable
Reliable
Quality
Feedback isInformation
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We Need a Goal or Destination
Feedback Attains Goals
Gathering Information is the Key
How?
To reach the Finish Line
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Legacy Reporting
Analytical Reporting
Predictive Analysis
Build on Each Other
Methodologies
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Definition and Purpose
Advantages
Disadvantages
Examples
Legacy Reporting
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Decision Support Systems (Buzzwords)
Ad-hoc Classic Reporting (SQL)
Enabled Decision Makers (HUGE)
Definition&Purpose
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Insight into the Business
Real-Time Reporting
Automate
Advantages
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Reports are Static (Unchanging)
Queries for a Specific Need
Hard to Compare to Other Datasets
Disadvantages
Historical Trends
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SQL
Specific needs
Immediate Simple Information
Legacy ReportingExamples
SQL Examples
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Count(orders), address, dates, orders from patient_table, location_table, date_table, patient_table
Count(orders), address, dates from order_table, location_table, date_table
Count(orders), address from order_table, location_table
Count(orders) from order_table
SQL Examples
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Count(patients), address, dates, orders from patient_table, location_table, date_table, order_table
Count(patients), address, dates from patient_table, location_table, date_table
Count(patients), address from patient_table, location_table
Count(patients) from patient_tableDifferent D
atabase
s?
Simple Metrics
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153
Order Count in (USA)
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Order Count (nonUSA)
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Definition and Purpose
Advantages
Disadvantages
Examples
Data Integration&Analytical Reporting
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Business Intelligence (Buzzwords)
Data Warehousing Begins
Addresses Problems
Definition& Purpose
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More Than One Data Source
Large Amounts of Data
Addresses Problems
Advantages
ETL (Data Integration)
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VariantsPatients
OrdersLocations
Data Warehouse
Star Schema is Born
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Variants
Location
Dates
Patients
Providers
Time
Orders
Interconnected
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Data Warehouse• Easier to Integrate Data
• Query Large Data Sets
• Summaries & Trends
• Gave Data More Meaning
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Disadvantages • ETL (Integration) Takes Time
Extract from Source
Transform & Integrate
Loadinto Warehouse
Summaries andAggregates
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Disadvantages • Prediction is only by Historical Data
2013
2015
2016
2014
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Reactive / Not Proactive
Feedback from All Around Us
Addresses Problems (BIG)
Car Analogy cont. “Luxury Cars”
Predicts Based on Set Events
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Definition and Purpose
Advantages
Disadvantages
Examples
Real-Time Predictive Analysis
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Predictive Analysis (Buzzwords)
“Intelligent Data”
Informal and Loosely Defined
Definition& Purpose
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Predicts Events
Near Real-Time
Relates Loosely Tied Data
Advantages
Sentiment Analysis
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Sentiment Analysis
vs
Sick Sick
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No Strict Structure
Trends Don’t Exist (Typically)
Loose Trends and Insights
Disadvantages
Predictive Analysis
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Social Media
Databases
Web Services
Internet
User Input
Sentiment
Analysis Engine
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Toyota Accelerator Issues
Myriad Possibilities
Google Car
Examples
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What’s going on?
Social Media
Which Cars or Parts or Dealers?
Toyota Accelerator
Who knows? Other reasons?
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Correlations & Studies
Social Media
Myriad Possibilities
Demographics
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Provider Interactions
Myriad PossibilitiesCont.
Insurance Denials
Test Cancelations
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Predictive and Proactive
Reactions to Real-Time Situations
Reduces Human Error
Google Car
AGAIN!- What Drives Business?
• Information
• Feedback
• Intelligence
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Be in Control
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Simple Static Reports
Analytical Reporting
Predictive Analysis
Wrap up
THANK YOU.
Q & A
THE END
