big data - ftpi
TRANSCRIPT
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Enterprise Analytics
Customers Analytics
Competitors Analytics
Strategic Insight in Three Domains
Competitive Advantage 1 2 3
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Environmental
Scanning (In & Ex)
Strategy
Formulation Strategy
Implementation Evaluation and Control
Gathering Information
Long-range Plans
Putting Strategy into Action
Monitoring Performance
Big Data in Strategic Management
Credit : Strategic Management and Business Policy, 14th edition by Thomas L. Wheelen
Data-driven through analytic
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Analytic
Insights for Decision Making
Strategic Intelligence External Scanning
Dr. Santhi Kanktanaporn
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Malcolm Baldrige National Quality Award
Thailand Quality Award
Criteria for Performance Excellence
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“องค์กรต้องจัดการกับการวิเคราะห์ข้อมูลที่ซับซ้อนมากขึ้น รวมถึงประเด็นความถูกต้องเชื่อถือได้ของข้อมูลความท้าทายในด้านการรักษาความปลอดภัยบนไซเบอร”์
เกณฑ์รางวัลคุณภาพแห่งชาติ ปี 2559-2560
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Big Data Analytic in Food Inspection Forecasting
https://chicago.github.io/food-inspections-evaluation/
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“Forecast food establishments that are most likely to have critical violations so that they may be inspected first”
Goal of the Project
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• 15,000 food establishments across the City of Chicago
• Three dozen inspectors from Department of Public Health
• Inspectors responsible nearly 470 food establishments
About Food Inspection
• 100,000 sanitation inspections records • 311 complaints database • Weather database
Data Sources
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• Establishments that had previous critical or serious violations
• Three-day average high temperature • Nearby garbage and sanitation complaints • The type of facility being inspected • Whether the establishment has a tobacco license or
has an incidental alcohol consumption license • Length of time since last inspection • The length of time the establishment has been
operating • Inspector assigned
Predictors of food inspection outcomes
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Department of Public Health
Civic Consulting
Alliance
Allstate Insurance Company
Power of Collaboration
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Before After Perc
enta
ge
Result : Percentage of critical violations
Business-as-usual Data-driven
56%
69%
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1. Satisfaction Level 2. Last evaluation 3. Number of projects 4. Average monthly hours 5. Time spent at the company 6. Whether they have had a work accident 7. Whether they have had a promotion in the
last 5 years 8. Departments (column sales) 9. Salary 10. Whether the employee has left
Human Resource Analytics
10 Features :
Data set 14,999 rows