What is Augmented Data Science and Why is it Important to My Business?

By Kartik Patel on April 18, 2019. Dataversity

 

“If Data Science was once the sole domain of analysts and data scientists, Augmented Data Science represents the democratized view of this domain. With Augmented Data Science, the average business user can engage with advanced analytics tools that allow for Automated Machine Learning (AutoML) and leverage sophisticated analytical techniques and algorithms in a guided environment that uses auto-recommendations and suggestions to lead users through the complex world of data science with ease and intuitive tools.

Augmented Data Science is integrated into the average enterprise, the domain of data science proliferates as does the knowledge and understanding of analytical techniques. Citizen X roles, like the much-discussed citizen data scientist, analytics translator, data translator, citizen integrators and citizen developers will emerge, cascading knowledge and leveraging power users as liaisons with IT and data science staff. The propagation of these tools throughout the enterprise will improve decisions, planning, and competitive advantage.

Augmented Analytics includes Assisted Predictive Modeling, Smart Data Visualization, Self-Serve Data Preparation, Clickless Analytics, NLP Search Analytics, Automated Machine Learning, which enables faster, or accurate analysis across the organization, optimizes resources and improves the value of each team member. Business users can merge core business knowledge and skill with critical analysis and share, collaborate and advance ideas, innovations and issue resolution.

The popularity and availability of intuitive, guided, Advanced Analytics allows for new analytic insights. As business users adopt and become comfortable with advanced data discovery and advanced analytics tools, that no longer require the skills of IT or a data scientis…”

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