Difference between Business Intelligence (BI) vs. Data Science
Difference between Business Intelligence (BI) vs. Data Science
Data Science vs. Business Intelligence (BI) Company intelligence (BI) is the process of analysing past data in order to get foresight and insight into business patterns. Here, BI allows you to prepare data from both external and internal sources, perform queries on it, and construct dashboards to answer issues like quarterly revenue analysis or business challenges. BI can assess the influence of many factors.
Data Science is a more forward-thinking, exploratory strategy that focuses on examining previous or present data and anticipating future events in order to make educated decisions. It provides solutions to the open-ended questions of "what" and "how" events happen.
Business Intelligence vs Data Science – Responsibilities
- Working in business intelligence entails a variety of tasks, including the following:
- The source system must be identified, and business link must be established.
- Concentrate on the most important business issues and solutions for resolving them.
- Defining business needs in collaboration with project managers and clients.
- Validation of the data is being done.
- Putting authorised proposals into action and achieving strategic goals.
- Reporting on the BI program's progress.
- Preprocessing and converting data are two of the responsibilities of a Data Scientist.
- Predictive models for future occurrences are being developed.
- Machine learning models are being fine-tuned and their performance is being optimised.
- Assisting industries in identifying questions that must be answered.
- Using story-telling to communicate results visually
