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DISCUSSION AGENDA
Introduction to BI&A
Evolution of BI&A
Applications of BI&A
BI&A Researches
Conclusions
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Introduction to BI&A
Business Intelligence deals with
Current Business Data Collection
Business Data Inputs
Data Conversions
Business Analytics
Uses statistical and quantitative tools
Builds explanatory and predictive modeling
Techniques, technologies, systems, practices,
methodologies and apps that analyze critical business data
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Introduction to BI&A
Extremely large data sets (Terabytes to Exabytes)
Complex (such as social media) where data lacks
uniformity
Data can be unstructured or structured
Requires advanced/unique storage, management
and analysis
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Introduction to BI&A
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Introduction to BI&A
Available data continues to increase and cost
of data acquisition and storage is/has been
declining
How is Big Data used?
Markets and Consumer Behavior
Product Development
Prompt Business Decisions
Service Improvements
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Introduction to BI&A
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Introduction to BI&A
IBM Tech Trends Reports that 93% of companies identify business
analytics as one of four major tech trends in the 2010s
Estimated shortfall of 140K 190K people with deep analytical skills by 2018
1.5 million data-savvy managers to analyze big data effectively
97% of companies with revenues over $100M use some form of
business analytics
Bloomberg BusinessWeek (2011)
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Introduction to BI&A
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Evolution of BI&A
1000 Times 1000 Times
Before 2000
Before 2010
From 2010
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Evolution of BI&A
Data are mostly structured.
Collected by companies through various legacy systems
Mostly command line interface system
Limited Internet connectivity, only for data analysis
Eight characteristics 1. Reporting, 2. Dashboards, 3. ad hoc query,
4. Search-based BI, 5. OLAP,
6. Interactive visualization 7. Scorecards,
8. predictive modeling and data mining.
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Evolution of BI&A
Data are both structured and unstructured. Besides the traditional RDBMS data is also collected about users
Traditional database works in combination with social media
Deals with lot of user generated contents Photos Videos Blogs Gaming data Shopping data
Eight characteristics mostly unchanged, have little better search capabilities
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Evolution of BI&A
Data collected are more location aware, person-centered, and context-relevant.
Some modern advanced data analytics tools claims to address all 13 characteristics Gartner BI platform.
These tools have support for RFID, barcodes, and radio tags
There are some lightweight RDBMS tool for mobile devices.
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Applications of BI&A
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Applications of BI&A
Data sources: User searches, customer transaction logs, user generated contents.
Analytics: Association rule mining, Anomaly detection, Social network analysis, Text
and web analytics
Influences: Long-tail marketing, personalized recommendation, increased sale and
customer satisfaction
Example:
Data sources: Public surveys, citizens & government employees feedbacks
Analytics: Information integration, Content and text analytics
Influences: Improving government transparency, empowering citizens
Example:
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Applications of BI&A
Data sources: High volume of system generated data.
Analytics: Specific mathematical and analytical models
Influences: Technological improvements of existing products or services,
revolutionary new products or services.
Example:
Data sources: Personal health information, Electronic health records (EHRs), medical
researches.
Analytics: Genetic research, Patient network analysis, Adverse drug side-effect analysis
Influences: Improved healthcare system, Improved patient empowerment
Example:
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Applications of BI&A
Data sources: Criminal records, crime maps, criminal network intelligence, cyberspace
monitoring.
Analytics: Criminal association rule mining and clustering, Multilingual text analytics,
Cyber attacks analysis and attribution
Influences: Improved safety and security
Example:
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Applications of BI&A
Traditional DBMS
Big Data Handlers
Mobile Data Handlers
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Applications of BI&A
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Applications of BI&A
Adaptive Analysis
Extended from: Competing on Analytics, Davenport and Harris, 2007
Traditional
New Data
Standard Reporting
Ad hoc Reporting
Query/Drill Down
Alerts
Forecasting
Simulation
Predictive Modeling
Optimization
Optimization under Uncertainty
Continual Analysis
Entity Resolution
Annotation and Tokenization
Relationship, Feature Extraction
New Methods
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BI&A Researches
(Big) Data
Analytics
Mobile
Analytics
Network
Analytics
Web
Analytics
Text
Analytics
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BI&A Researches
Foundational Technologies
RDMS, Data Warehousing, ETL, OLAP
Emerging Research
Statistical machine learning Sequential and temporal mining Spatial Mining Process Mining Parallel DBMS Cloud Computing
(Big) Data
Analytics
Foundational Technologies
Information Retrieval, Search Engines, Enterprise Search Systems
Emerging Research
Statistical NLP Opinion Mining Multilingual Analysis Mobile IR
Text
Analytics
Example:
Example:
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BI&A Researches
Foundational Technologies
Bibliometric Analysis, Social Network Theories, Network Visualization
Emerging Research
Link Mining Dynamic Network Modeling Agent-based Modeling Virtual Communities
Network
Analytics
Foundational Technologies
Web services, Smartphone Platforms
Emerging Research
Mobile Web Service Mobile Sensing Apps Mobile Social Networking Mobile Visualization Mobile Advertising and Marketing
Mobile
Analytics
Example:
Example:
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BI&A Researches
Foundational Technologies
Information retrieval, Computational Linguistics, Web Service, Mashups
Emerging Research
Cloud Services Cloud Computing Social Media Analytics Web Visualization
Web
Analytics
Example:
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BI&A Researches
Researchers Trend
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BI&A Researches
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BI&A Researches
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BI&A Researches
Education Challenges
Business Industry shifted to Data Analysis & rapid Business Decision Making
Decision making largely take place in Marketing, Finance and Logistics
Business School started to educating professionals
BI&A Knowledge and Skills
Critical analytical & IT skills
Business domain knowledge
Communication skills
Program Development
Master of Science (MS) degree in BI&A Add a concentration in existing MS IS program BI&A certificate program
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Conclusions
Technological improvements Rapid increase of mobile device usage More proliferation of social networking Service integrations & customizations
Performance Latency and Reliability Control & Maintenance Security & Privacy Vendor Lock-in standards