However, with SaaS technology, your sales team can manage, collect and analyse useful data. They can also turn it into decisions that have a real impact on your company. This data, when properly managed, becomes a tool. It helps you make strategic decisions that improve your sales.
How big companies use “Big Data” to increase their sales
Big Data works with anonymous and aggregated data. Its value lies in finding patterns that help predict future behavior.
For example:
Coca-cola
Coca Cola is the largest beverage company in the world. It manages a product portfolio of more than 500 soft drink brands with customers in more than 200 countries. They analyze the large sources of information cambodia whatsapp generated by each of their products and customers. This allows them to make million-dollar decisions. Through Big Data, they have managed to position themselves not only in terms of business, but also in terms of brand image.
Coca-Cola uses Big Data and artificial intelligence to position itself in the market. They analyze the information they have about their consumers to turn it into business opportunities.
For example :
They have launched a new drink thanks to the data analysed from the self-service drinks system. Focusing, above all, on what these data say about consumer tastes.
These machines allow you to make drinks that suit your taste. Coca-Cola first took information from how its users combined flavors. The next step was to launch a new product that mixes the classic Sprite with a hint of strawberry.
Walmart
In 2018, the supermarket chain's global sales amounted to $495.76 million, with a total of 11,695 stores worldwide.
Walmart uses Big Data to reduce the time it takes to make business decisions. It also uses it to find patterns that help it predict the future . It does this by analyzing the quantity and type of products it must handle in each region. This way, it is able to satisfy the needs of its customers, regardless of the date or situation.
For example :
A well-known example of Walmart is the creation of its own database for crisis operations. They launched it so they could operate better in the days before Hurricane Katrina hit Florida.
With this system they were able to help thousands of people in a crisis situation. They were able to predict the potential impact of the hurricane and the consumer trends it caused. With this information they were able to provision themselves appropriately. In addition, they were able to help the victims better than the US government itself.
LinkedIn is another great example that uses Big Data. They use it to develop a wide spectrum of products and features to increase their sales. Many features are based on Big Data analysis. Based on this, they create a portfolio of products that incentivize their users to pay for more advanced versions of their product. Some examples are their matrix of people you might know, groups you might like, jobs you might be interested in, who has viewed your profile, among many more. This has led them to gain millions of users worldwide.
Similarly, LinkedIn uses data on the use of its platform. This allows them to identify which products to offer to each segment of their users. They also know the best way to do this to increase their sales.
