Analytics and Data Science: Termonology

Analytics: Analytics is a structured process to use for generating actionable insights for the decision makers to make informed decisions. Analytics can have different levels of maturity and complexity – Basic Reports & Dashboards, Ad-hoc Analysis & insights, Predictive Modeling and Optimizations If focus is to understand about the customer behaviors, patterns and needs, it is called customer analytics.  More details on what is analytics? And also Data Science & Insights: Overview

Data Science: Data is characteristics values about individuals, process, companies and other entries. In Data Science, data along with technique(s) from diverse fields (e.g. statistics, machine learning, artificial intelligence, computer science & others) and technology enablers (Big Data Tools, Visualization Tools such as Tableau, and Analytical Tools such as R & SAS) are used for extracting knowledge and insights. A person who is involved in Data Science work is being label as “Data Scientist”.  Data Science & Insights: Overview.

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