Temario

How we got to now: the digital data transformation

The origin of data-driven approaches in government, academia and business
Progress in data factor markets
Data connectivity
Data storage
Data processing
Quantification of everything
IoT
Smart Cities
Wearables
A brave new world of perfect information
Where data science is headed: the coming datapocalypse

The dependency of data science on the theory of variance
Why data centralization will kill traditional data science
Why most organizations are ill prepared for the coming wave of data
Why most organizations are totally unprepared for blockchain data
Why blockchain is the solution for data science

Blockchain as a data engineering solution
Defined quantification
Data completeness
Data trustworthiness
Blockchain as a data analytics solution
Data access and preparation
Data scope and data totality improvements
New data science frameworks
Examples of successful blockchain data science projects

Use cases by vertical
Finance
Ecommerce
Healthcare
Fintech and SaaS
Use cases by organizational type
SMBs
Enterprises
Government
NGOs
Use cases by organizational department
Business Intelligence
Marketing
Customer Experience Management
Procurement and Fulfillment
How to get started with your first blockchain-based data science project

Offensive strategies for adopting blockchain into data science workflows
Data maturity stage audit
Prioritizing blockchain data science projects
Build or buy blockchain data science solutions
Defensive strategies for adopting blockchain into data science workflows
Competitive intelligence and secondary research
Macro metric correlations for blockchain data science models
Game theory and “best response” actions