Benefits of Using Big Data for Businesses

Big data is beneficial for business decisions. Here are some of the key benefits that businesses can get by using big data.

Customer Insight

To understand customers better, big data is required. The data can be collected through:

• Sources of customer data, such as purchases and support calls
• External sources, such as financial transactions and credit reports
• Social media activity
• Data from internal and external surveys

E-commerce activity is very useful in the digital marketplace, focusing on how customers navigate through a company's different webpages and menus to find products and services. Companies can gain insight into which items customers added to their carts but eventually removed or abandoned without purchasing — this provides notions of what customers might like to buy, even if they don't make a purchase.

Not only online stores, but physical stores can also provide useful understanding of their customers, often by analysing video to learn how visitors behave through a physical store.

Market Intelligence

Big data can help businesses analyse the complex shopping behaviour of customers in more detail. It can also sharpen and broaden our understanding of market dynamics.

Social media is a very common source of market intelligence for product categories. Customers always share opinions about purchasing — these shared opinions are precious for marketers.

Other than competitive analysis, big data can also help in product development by prioritising different customer preferences.

Better Supply Chain Management

Enterprises don't notice supply chains until there is a truly major disruption. Big data that enables predictive analytics, often in near real-time, helps to keep the global network of demand, production, and distribution running smoothly.

This is possible because big data can integrate customer trends from e-commerce sites and retail applications with supplier data, real-time pricing, and shipping. Large enterprises benefit from these insights, and medium-sized e-commerce businesses can use customer intelligence and real-time pricing to optimise stock levels and seasonal stockings.

Recommendations and Audience Targeting

The predictive analysis for recommendation engines identifies common items in market baskets which buyers might purchase together. Modern recommendation systems are much smarter than that — building on sophisticated customer insights, with the result that enterprises of any size can be more sensitive to demographics and customer behaviour.