Data Science vs. Business Intelligence
Data is everywhere around us, and it is used, processed and analyzed in every field of the world
today. At the same time, data is constantly evolving and is used in several business applications,
like Business Intelligence. Business Intelligence is a technology-driven process that analyzes
data, providing important information that helps executives and managers make careful
business decisions. So, while both Data Science and Business Intelligence involve data, they are
different from one another.
Data Science is much more complex compared to Business Intelligence. The scope of Business
Intelligence is limited to the business domain. In Business Intelligence, past data is analyzed by
developing dashboards, creating business insights, organizing data and extracting information
that would help the businesses to grow, with the final goal being the understanding of the
current trends of the business. However, in Data Science, we use data to make future
predictions and forecast the growth of the business, using a wide array of complex statistical
algorithms and predictive models.
Additionally, Business Intelligence tools are limited to analyzing organizational information and
setting up business strategies. On the other hand, the tools of a data scientist involve complex
algorithmic models, data processing and even big data tools.
Data Science and Artificial Intelligence
Data Science and Artificial Intelligence are two terms that are used extensively nowadays.
Artificial Intelligence is the simulation of human intelligence in machines and is still largely
unexplored, while Data Science is a field that uses maths and statistics and focuses on
transforming data for analysis and visualization. This means that while Data Science is a sector
where data analysis is performed, Artificial Intelligence creates better products and services.
Their key differences are shown in the following table:
Key differences between Data Science and Artificial Intelligence:
Pre-processing, analysis, visualization, and prediction are all part of the Data Science process,
while Artificial intelligence uses a predictive model to predict future events.
Data Science provides insights for humans to make decisions, while Artificial Intelligence
supports systems that make decisions autonomously.
Data Science deals mainly with structured data, while Artificial Intelligence can work with
structured, unstructured, and semi-structured data.
The tools used in Data Science are far more extensive than those used in Artificial Intelligence
because Data Science deals with all data processing phases.
Data Science finds hidden patterns in the processed data, while Artificial Intelligence imparts
autonomy to the data model.
