Why Big Data is 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 analyse it to find answers that enable cost and time reductions, new product development and optimised offerings, and 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 organisation.

How does Big Data look like?


Customer relationship building is critical to the retail industry – and the best way to manage that is to manage big data. Retailers need to know the best way to market to customers, the most effective way to handle transactions, and the most strategic way to bring back lapsed business. Big data remains at the heart of all those things.


Armed with insight that big data can provide, manufacturers can boost quality and output while minimizing waste – processes that are key in today’s highly competitive market. More and more manufacturers are working in an analytics-based culture, which means they can solve problems faster and make more agile business decisions.

What does PointStar offer?

PointStar eliminates the need for expensive and complex appliances and a long-haul connectivity. We enhance collaboration across locations to offer significant cost savings and ease of use to gain competitive advantage. With expert consulting, our range of services and solutions will guarantee that you are getting the most out of the PointStar experience. One of our primary goals is to help companies achieve dramatic productivity gains and increase visibility into their WAN applications, locations and performances.

We can help you to setup a big data pipeline. This includes establishing a connection with your data warehouse. With the connection in place, we can analyse all the data using tools like BigQuery and Domo to transform it into digestable information.

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