article thumbnail

Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

article thumbnail

Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage.

Analytics 165
article thumbnail

What are decision support systems? Sifting data for better business decisions

CIO Business Intelligence

They emphasize access to and manipulation of large databases of structured data, often a time-series of internal company data and sometimes external data. XLSTAT is an Excel data analysis add-on geared for corporate users and researchers. Analytics, Data Science Model-driven DSS.