Big data has dramatically changed the way most businesses operate. While the power of big data has been around for a while, it is only in recent years that companies across various industries have started leveraging it to its full potential.
In its simplest form, big data is a collection of information from many sources. This data is usually collected in one of three ways:
- Asking users directly for permission to collect their information
- Tracking software
- Cookies that collect data on users as they browse the web
It shouldn’t come as a surprise that data on most of our actions are tracked, documented, and then used in a variety of ways. With this in mind, the potential for the exploitation of big data is a major concern, but the malicious usage of this information isn’t the norm. Rather, this information is used to better our lives.
Businesses stand to greatly benefit from big data. Today, business leaders and project managers know how to use big data in order to get the biggest return on investment. Streamlining operational inefficiencies, minimizing risk, getting a thorough look at business performance ” the use of big data is valuable for all levels of management.
In our current economy, e-commerce, food tech, financial services, and enterprise are among the top industries that have been disrupted by data. According to Fiscal Tiger, All of these industries are facing massive changes that could be brought on by big data and adapting to technology. These changes are usually positive, and businesses that use big data grow 50% faster than those that don’t. Big data and its many capabilities can make a business significantly more profitable.
Customer Research and Acquisition
Big data is an essential tool to better understand customer preferences and behaviors. From gaining insights into buying patterns to determining an effective target audience, the capabilities of big data when it comes to getting to know the consumer are almost limitless.
Financial service providers spend billions on marketing every year. Big data and analytics can be used to accurately understand consumer behavior, using sources such as transactional data, social media, profile data, and mobile behavior. This can inform marketing decisions, enabling fintech companies to stretch their marketing dollars.
Ultimately, the use of big data in acquiring new customers leads to a higher conversion than traditional acquisition practices and result in savings on marketing costs. This is just one example of how big data can help companies become more productive, and majorly save on operating costs.
Improved Marketing Campaigns
Big data can also be used to revolutionize a business’s marketing campaigns. Big data allows one to avoid putting out generic, ineffective marketing material Rather, with insights from big data, companies are able to precisely target their marketing efforts and, in turn, yield positive results. Keep track of performance data to guide future content strategies in marketing campaigns. This data can help marketers hone their messaging to appeal to target demographics.
As an added bonus, collecting and keeping track of various data gives a business the option of compiling and selling marketing campaign insights. After all, this sort of data and its subsequent analysis could be extremely valuable to partner companies and worth a significant amount of money to those companies that are unable to leverage data themselves.
Product Innovation
Big data is very useful when it comes to innovating and introducing new products, as well as improving existing ones. Big data shows businesses which of their products increase turnover and amass the most revenue. Based on these insights, companies can increase marketing spend on top-selling items while eliminating unpopular goods from their stock.
An infographic on Entrepreneur details a case study of a gaming company that uses big data to meet its two main goals of encouraging longer gameplay time and creating games that boost monetization. Using data from weblogs and user profiles, the company was able to understand what makes gamers keep playing for more hours, as well as what game features might motivate users to play in the first place. With these insights, the company was able to develop new games that appealed to their audience, alongside enhancing existing games to suit their needs. The utilization of big data grew the company’s revenue from $50 million to a whopping $600 million!
The methods and examples listed here are just a few of the ways in which big data can make a business more profitable. Big data gives companies unprecedented insights into customer behavior and helps them save money in multiple ways. As analytics technology develops further, there’s no doubt that big data will continue to reshape the way businesses operate on a regular basis.