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5 Important Reasons Big Data Analytics Is Indispensable to Business Growth

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In today’s business world, where machines are replacing humans, data is everything for businesses. All their decisions are made with the help of the right data. Companies harness data, infer meanings, discover hidden patterns and correlations, and then make decisions.

Organizations use big data analytics to study customers’ behavior, preferences, and dislikes for a product or service.

They depend on big data analytics because they have understood the urgency and need to evolve from a knowing to a learning organization.

Here are some benefits that make big data analytics an indispensable tool for business growth. Without further ado, let us get straight to the topic.

  • Boost customer acquisition

Businesses work to serve their customers, and no business can survive without customers. Every business craves to have a solid customer base that is loyal to them. Simultaneously, they want to attract more potential customers.

But how would you ensure that you always offer what your customers demand?

The answer is by understanding consumer behavior with the help of big data analytics.

These analyses are done using advanced software that is efficient and quick. Therefore, if you want to flourish in this fast-paced business world, you must have a data analytics expert with at least an MBA Data Analytics degree.

An expert will know all the tools, gather customer data, and understand their behavior. Based on the information provided by your data analytics professional, you may want to stop or continue supplying a product, give offers to boost the sale of a particular product, provide different packaging sizes, etc.

  • Improve your advertising efforts

In this highly competitive environment, every business wants to reach its customers before its competitors. They want to communicate their message effectively to retain their customers and position in the market. But touching the heart and minds of the right customers is impossible if you don’t know how to reach them. Advertising is an effective way to communicate with your existing and potential customers.

The right advertising efforts require a lot of information about consumer behavior, purchase patterns, what they do and how they spend their time. Earlier, it was common for businesses to lose millions in ineffective advertising campaigns that often failed to reach and appeal to customers.

Firms can no longer plan their advertising efforts based on gut feelings or mere guessing. Instead, they need concrete and reliable data. These days, firms harness the power of big data analytics to identify and reach the right customers by using accurate market insights. These insights include tracking the online activity, point of sale transactions, etc., to identify the target groups and develop advertising campaigns.

  • Drive innovation and product development

To improve the quality of your existing products and adding new products to your existing portfolio require a lot of insight. For instance, if you manufacture shampoo and want to add more variants, how would you know which color/ingredient you should add? You cannot rely on your intuition if you want to be successful in the twenty-first century. This means you must have some tools that allow you to measure the sale of your existing products, customer feedback, and customer response to your competitor’s products. You can use measure all these responses through big data analytics.

Before new product development, companies can carry out product sampling and learn about customer preferences and demand through online surveys or other data collection tools. But they will still require big data analytics services to get essential insights from this data.

  • Reduce cost

Big data analytics helps you reduce costs in many ways. Firstly, it enables you to decrease advertisement costs by making it more targeted and accurate. This way, you can save all the money you would have spent on failed campaigns that don’t deliver.

Secondly, it allows you to make winning and profitable products that customers want to buy. You won’t be launching variants or flavors of a product that does not capture your customers’ attention and only cram the shelves in the superstores.

Thirdly, by analyzing the customer data, you understand the actual costs of your business. Instead of making random cost cuts, you can make them more data-driven based on strategic insights.

  • Enable mass personalization

When customers are segmented based on data, including shopping trends, purchasing power, likes, and dislikes, offering them a personalized experience becomes easier. Customers want to see personalized offers, and it is corroborated by a survey report.

Big data provides a holistic view of the customers, helping the companies cater to them individually. For instance, United Airlines provide personalized service to their customers by providing flight attendants with an app that contains customer information.

Conclusion

Using big data analytics is crucial for companies intending to stay afloat in this competitive environment. Big data analytics help them make better decisions, increase revenues, reduce costs, and reach customers more efficiently. Therefore, it is only right that businesses incorporate big data analytics in their operations.

 

 


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PhatStartupsMike McOwen@PhatStartups·
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