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6 advantages of big data analytics

by Faisal Sheikh

Big data is one of the most vital trends in business. It is not just a buzzword that can help your company to improve its efficiency. Still, it’s also an opportunity to increase your earnings by utilising all the information hidden in your customer’s behaviour. You can gain data insights using big data and make smart decisions. In this article, you can learn about the benefits of big data analytics. 

Data tells stories.

It can tell you what happened, and it can also tell you what is happening. That’s why data analytics is so powerful—it gives insights into customers and employees. When you analyse the data collected from websites and apps (or any other source), you can understand how people behave online, in the office, or on their phones. These insights help make better decisions about how to run the business or personal affairs.

Data can help make predictions.

It can help predict what customers want, which products are popular, and which need to sell better. It’s a great way to determine if you’re on the right track with your marketing and sales strategies.

Reduce costs and increase efficiency.

The benefits of big data analytics are clear. Using this powerful tool, you can take advantage of cost savings and efficiency in nearly every aspect of your business. For example, machine learning applications can be used to improve customer service by increasing the accuracy, speed, and timeliness of responses to customers’ inquiries. It will save you money by helping you avoid paying for unnecessary manual support tasks. Analytics also allows you to identify potential revenue opportunities that may not be immediately obvious through existing processes or data sources—such as identifying new markets or new product lines—and then effectively target those opportunities with the minimal extra effort required on your part (like creating a Facebook ad).

Improve customer service and customer experience.

Customer service is a vital part of business, and companies are trying to improve it in many ways. In the past, customer service agents used many tools to help them serve customers better. However, there are more effective and efficient ways to do this now. Big data analytics can determine your target audience’s preferences and needs to be based on their interactions with your products or services. It can help improve customer experience by creating better products for future use.

Gain a competitive advantage.

Using your data to beat the competition is the most significant benefit. If you can find a way to use it better than your competitors and turn it into something tangible, like new products or services for your customers, you’ve got a considerable edge over everyone else. Data analytics gives companies an opportunity for self-improvement as well as an opportunity for growth in both revenue and market share over time.

Get higher revenue opportunities.

Businesses can use big data analytics to improve their products and services, which allows them to increase revenue. The McKinsey Global Institute recently found that companies that harness big data are more likely to receive higher revenues from existing customers. What’s more, a study conducted by IBM showed that companies that use big data analytics also have a higher customer retention rate than those that don’t. And since churn rates cost small businesses an average of $4,600 per lost customer (according to Entrepreneur), this is a significant finding for any organisation. When it comes down to it, investing in big data analytics can help you improve your current products and services while also enhancing your bottom line through increased revenue opportunities.

Conclusion

Big data analytics can help you gain data insights and competitive advantage by giving you access to more information about your customers, employees, and the market. It can also help you understand how that data may impact your operations in the future so that you can make better decisions today.

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