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Data science vs business intelligence salary according to glassdoor a business intelligence analyst earns an average of 80 154 per year.
Business intelligence vs data analyst vs data scientist. Usually a company needs both types of professionals to really optimize its use of data. What is business intelligence vs data analytics. You may also look at the following articles to learn more business analytics vs business intelligence.
A data scientist on the other hand earns an average of 117 345 per year. Data scientist salary data scientist salaries in india start from 500 000 per annum and go upto more than 2 000 000 per annum. A business analyst can expect to focus not on machine learning algorithms to solve business problems but instead on surfacing anomalies shifts and trends and key points of interest for a business.
Data scientists can also work with medical. In a nutshell bi analysts focus on interpreting past data while data scientists extrapolate on past data to make predictions for the future. Whether higher education government agencies or large business empires data rules everywhere.
In today s technology driven business world big data is influencing and empowering the decision making process everywhere. The key difference is that a bi analyst uses olap cubes and other bi tools to report on what happened in the past while a data scientist uses predictive and prescriptive tools to forecast what might happen in the future. A data scientist is expected to perform business analytics in their role as it is essentially what dictates their data science goals.
A data scientist s strengths lie in coding mathematics and research abilities and require continuous learning along the career journey whereas a business analyst needs to be more of a strategic thinker and have a strong ability in project management. Here we have discussed data scientist vs business analyst head to head comparison key difference along with infographics and comparison table. Data scientist vs business analyst salary.
Passion for building data products for production systems a strong desire to impact the product through data science techniques.
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