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Big Data and Analytics (Big Data Analytics Framework (Data Access and…
Big Data and Analytics
Maximisation Themes
Speed to Insight
Automation
Business Requirements
Reuse
Recommendations
Optimized Ecosystem of Advanced and Traditional Data Technologies.
Develop Data Standards
Pervasive Use
Graphics
Visually appealing interfaces
Mobility
Cell Phones
Tablets
Benefits
Ease of Access
Portability
User Engagement
Gamification
Collaboration Techniques
Discussion Portals
Self-service Approaches
Recommendations
Invest in Business-Savy IT Staff
Encourage User-intensive Development Practices
Exploit the "in" Technology
GMobile
Business Value
Transactional
Informational
Collaboration
Communication
Strategic
Manage and Evolve
IT
Data Governance
Onboarding Practices
Automation through
Data standards
Meta Data
Big Data Analytics Framework
Data Access and Usage
Data Scientists
Business Analysts
Business Users
Syookuers
Customers
Frontline Workers
Managers
Executives
Analysis
Predictive Analytics
Neural Networks
Regression
Descriptive Analytics
Querying Data
Data Storage
Hadoop Distributed Processing
Data Mart
Data Preparation
Data Cleansing
ETL
Data Sources
Unstructured Data
Web Data
External Data
Mixed Media (Audio / Video)
Structured Data
Operational Systems
Internal Systems
Machine Data
Brian Ochan | Business Intelligence | INFN45 | Seminar 1 | 5.03.2018
Theme:
Big Data and Analytics