Home » Uncategorized

12 Emerging Trends in Data Analytics

Data Science Central shared its predictions for 2016. More predictions can be found here. In this article, we share Scott Mongeau’s predictions. The full version of this (long) article can be found here

2808310835

  1. Plumbers wanted: data management overhead demands professional data mungers
  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

DSC Resources

Additional Reading

Follow us on Twitter: @DataScienceCtrl | @AnalyticBridge

Leave a Reply

Your email address will not be published. Required fields are marked *