Digital Intelligence Framework
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The document discusses IBM's digital intelligence framework for using big data sources and analytics to generate insights that enable cognitive and predictive decisions. It focuses on using analytics at individual, team, and group levels across transactions, social interactions, games and simulations to provide the best fit for expertise, predictions, and prescriptions while also allowing for systemic learning, distributed consciousness, and engagement across various channels.
Digital Intelligence Framework
- 1. Antony Satyadas (antony_satyadas@us.ibm.com) Intelligent (Outcomes) Digital Intelligence framework Big Data (Sources) Analytics (Insights) Cognitive (Decisions) Transactions Social Individual/Team GamesThingsGroup Location Simulation Best Fit Expertise Predictive Analytics Prescriptive Analytics Reflections Systemic Learning Distributed Consciousness Recollections Engagement Advocacy Satisfaction Cost 1 BI OLAP Reports Preediction Markets Multi Criteria Group Decisions LeadsRevenue Competitive Channels (Interactions) Contact center Social Omni Channel Games Self-service Real Time