Priyansha Kansal
  • Female
  • New Delhi, Delhi
  • India
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Short Bio:
New to the data science world.
I just completed my graduation and now want to pursue data science.
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Job Function:
Data Science, Business Analytics
Contributing, Networking

Priyansha Kansal's Blog

What is Business Intelligence? Definition & Example.

Posted on November 11, 2019 at 2:27am 0 Comments

Business intelligence is important for every business. But, there is a lot of confusion about business intelligence.

This is mainly because BI has been defined in different ways. So, we thought what’s better than talking about business intelligence. We dived into the history pages and compiled a list of definitions and examples that will help you understand this concept better.…


How Big Data can help your Business Analytics?

Posted on November 7, 2019 at 10:00pm 0 Comments

Business analytics is here to stay, and most ventures are wrapping their heads around the idea. Numerous data gets collected from various interactions among clients and potential prospects; Big data is referred to as the complex humongous data. It is not a new fad in the analyst industry. Organization requires making top-notch decisions using big data as an essential component in…


What is Business Intelligence? Understand BI for Your Company

Posted on November 7, 2019 at 2:21am 0 Comments

What is Business Intelligence? Understanding BI for your company

There isn’t an ounce of doubt about the fact that every business or organization depends on data. Be it a small business or a large corporation; data is the driving force behind effective decisions.

You might have already the term business intelligence and analytics. While some business owners think it to be some…


What is Data Science?

Posted on October 14, 2019 at 12:24am 0 Comments

Data Science continues to be a hot topic among skilled professionals and organizations that are focusing on collecting data and drawing meaningful insights out of it to aid business growth. A lot of data is an asset to any organization, but only if it is processed efficiently. The need for storage grew multifold when we entered the age of big data. Until 2010, the major focus was towards building a state of the art infrastructure to…


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