Trends in Data Analytics

1. Plumbers wanted: data management overhead demands professional data mangers
2. Hardening models:  increasingly complex models require tighter approaches to diagnostics and validation
3. The tunnel link: big data engineering and methodological approaches meet in the middle
4. Change management to the fore: evidence-based decision-making requires management to contemplate new organizational forms
5. Invisible architectures: enterprise architecture embraces systems management to forge a path through the mist of multi-systems complexity
6. We’re not in Kansas anymore:  increasingly diffuse models requires a deeper methodological understanding of broader research paradigms
7. Living with the paradox: coming to terms with irresolvable methodological quandaries
8. Cyborg enterprise:  industrial-scale analytics ushers in the age of highly integrated, large-scale techno-organizational decision programs
9. Not for everyone, but necessary none-the-less:  analytics as a service and outsourcing analytics as a function
10. On-ramping AI: organizational operationalization as a step towards machine automation
11. Emerging profession: professional computational decision engineers and AI stewardship
12. Far-future: the birth of the Chief Meaning Officer – equal parts decision scientist, IT manager, storyteller, and organizational anthropologist

List is from Data Science Central.