It doesn’t surprise us that ever since data came to light, its importance has been emphasized to a great extent. From statistics to data science, organizations benefit greatly from data analysis. If we look deep into the world of data, we would find terms like big data, data analytics, or artificial intelligence. Two of these terms, data science, and business intelligence are often thought to be the same. But are they?
Well, for a start they both involve the use of data but apart from that, they have little in common. In the below article, the differences between data science and business intelligence are highlighted in detail. So, dive straight in to know all the details! Learn more about Data Science Course in Pune
Defining Terms
When defining both terms, we can say that data science attains a broader picture than business intelligence. This is because it uses complex arithmetic algorithms and machine learning to make analysis and have insights. On the other hand, business intelligence collects and alters data to make business decisions. It uses dashboards to manage data whereas data science is associated with using stats and complex tools.
Analysis Perception
Another difference between data science and bi is that they differ in analysis types. Data science deals with predictive and prescriptive analysis in terms of future, while business intelligence works on descriptive analysis in terms of past and present. Another way we can understand this is that business intelligence focuses on answering the ‘what’ part of a question. On the contrary, analysis done with data analytics deals with the ‘why’ part.
Data and Storage
In business intelligence, the data is pre-planned, provides a single version, and is mostly stored in warehouses. In contrast, data science is more flexible as data can be added to the record from time to time. Another point is that data is stored in real-time clusters and so can be accessed anytime.
Skills Difference
As we have read, data science is more advanced and complex than business intelligence. Due to this, a different set of skills is needed to have a career in either of the fields. Business analysts require a primary set of skills such as data management and analysis which helps them make strategic business decisions. Data scientists, however, need to have more technical skills like machine learning, software programming, and stats. Visit here for more details Data Science Course in Chennai
Tools
Both data science and business intelligence make use of different tools in the analysis work. Data science uses technical tools such as SAS, Python, and R programming. Sometimes, data science involves analysis through Tableau or Matplotlib. On the other hand, business intelligence makes use of basic tools like SAS BI, MS Excel, or Sisense to extract data from SQL.
Conclusion
In a wrap-up, it can be concluded that even though data science training in bangalore and business intelligence go side-by-side in the digital world, they still have different aspects. From different data types to their analysis, both of these work fields offer different career paths for data analyzers.
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