Why Is Big Data Important?


The importance of big data doesn’t revolve around how much data you have, but what you do with it. You can take data from any source and analyze it to find answers that enable

1) cost reductions,

2) time reductions,

3) new product development and optimized offerings, and

4) smart decision making. When you combine big data with high-powered analytics, you can accomplish business-related tasks such as:

  • Determining root causes of failures, issues and defects in near-real time.

  • Generating coupons at the point of sale based on the customer’s buying habits.

  • Recalculating entire risk portfolios in minutes.

  • Detecting fraudulent behavior before it affects your organization.


Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves.