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Future trends and challenges (Big Data (The Four Vs (Volume, Variety,…
Future trends and challenges
Big Data
Overview of the Big Data Information Value Chain Perspective
Big Data Information Value Chain
Big Data Characteristics
Information Value Chain
IS Research Traditions
Emerging IS Big Data Research Topics
The Four Vs
Volume
Variety
Velocity
Veracity
A Big Data Research Agenda for Behavioral IS Research
Epistemological Concerns of Big Data and Behavioral IS Research
Behavioral IS Research on Deriving Knowledge from Big Data
Behavioral IS Research on Implications of Big Data for Decisions and Actions
Summary of Sample Big Data Research Opportunities for Behavioral IS
A Big Data Research Agenda for Design Science Research
Paradigmatic Considerations for Design Science Research on Big Data
Design Science Research on Deriving Knowledge from Big Data
Design Science Research on Supporting Decisions and Actions from Big Data
Summary of Design Science Research on Big Data
A Big Data Research Agenda for the Economics of IS
Epistemological Concerns for Big Data and the Economics of IS
Economics of IS Research on Deriving Knowledge from Big Data
Economics of IS Research on Implications of Big Data for Decisions and Actions
Summary of Economics of IS Research on Big Data
Mobile BI
Mapping Users to Mobile BI Requirements
User Types
Line Managers, Executives, Mid-Level Managers, Outside salespeople, Field technicians, Internal technicians
Information provided by Mobile BI
Push/scheduled reporting
Pull reporting
Exceptions and alerts
Sharing
Mobile BI Issues, Challenges, and Potential Solutions
Advantages and Disadvantages of Web-based and Native Apps
Web-based
Advantages
Easier and faster to deploy
Compatible with all mobile browsers
Data consistency across devices
Greater security
Disadvantages
Not optimized for mobile
Less functionality
Poorer user experience
No offline capabilities
Native Apps
Advantages
High performance
Greater functionality
Optimized for mobile
Great user experience
Offline access to data
Disadvantages
Not compatible with all mobile platforms
More costly and difficult to deploy
Greater security concerns
Designing for Screen Size
Put the most important view on the top left, which is where users’ eyes naturally start.
Limit the dashboard to two to four views.
Be stingy with legends and views
Bigger is better
The Need for Real-time, Mobile BI
Ethical Issues in the Big Data Industry
Current Ethical Issues within
the Big Data Industry
Issues with sources
Integrating with bad suppliers
Contributing to destructive demand
Issues with customers
Supporting Novel and questionable secondary use
Creating negative externalities (surveillance as pollution)
Supply Chain Level
Unfair or objectionable harms from using Big Data
Gathering of data as an intrusion or violation of privacy
Industry Level
Harm to those not involved in the immediate decision or transaction caused by broad tracking of consumers and collection of information
Focus on resale of consumer data; treating consumers simply as a means to supply the secondary market of information traders
Mind Map - Seminar 5 - Yaser Odeh
19810315-T794