What is

Data Science

Data Science is a meaningful combination of traditional sciences like Maths and Statistics with AI-driven processes and algorithms
— Machine and Deep Learning above all else. The major purpose of such a holistic approach goes way far beyond ordinary data mining techniques, and lies in extracting actionable insights from both structured and unstructured data.

The Data Science

Lifecycle falls into 5 stages:

Collection

Data acquisition
Data entry
Data extraction

Maintenance

Data warehousing
Data cleansing
Data architecture

Processing

Data mining
Data clustering
Data modeling
Data summarizing

Analytics

Predictive analysis
Regression testing
Text mining
Qualitative analysis

Interoperability

Data reporting
Data visualization
Business intelligence
Decision making

How can you

Benefit from Data Science?

Data Science is indeed required for business data pipelines optimization and gaining valuable insights from data lakes and other disparate big data sources. Robust data-driven solutions, if properly implemented, enable the boost of performance, manageability and integration of business operations across the board.
In a word, you definitely need Data Science, if your business data iseither: