What awaits fintech players in the next 5 years?

Batu Sat, Co-Founder and CEO of Mall IQ, offered the following assessment of what awaits fintech players in the next 5 years:

“Those who don’t utilize data, particularly in card and payment systems, and fail to communicate effectively with their users, will face efficiency problems and become unable to provide service, resulting in negative consequences on an individual basis. The more users they have, the greater their losses. If they can make this service efficient and positive with the right data and proper personalization, they have a chance of making a profit and surviving. Otherwise, they are doomed to fail. In the next 5 years, those who don’t use artificial intelligence will fail. Among those who do use AI, only those who can personalize it with first-party data and their own customer data will rise. Others will only stay afloat. Those who fail to make this transformation will completely collapse.”

The Importance of Data and Personalization

Today, card and payment systems are undergoing a major transformation with the rapid advancement of technology. One of the most important elements in this transformation is the effective use of data and the provision of personalized services. Companies that cannot effectively utilize data and communicate effectively with their customers become unable to provide services due to productivity problems. This situation poses a greater risk, especially for companies with a large user base. However, these problems can be overcome with the right data analysis and personalization strategies.

Advantages of Data Usage

Data has become one of the most valuable assets in today’s business world. Correct data analysis allows companies to understand customer behavior and develop strategies accordingly. This increases both customer satisfaction and company profitability. Especially in payment systems, understanding users’ habits and needs is key to providing them with better service.

The Importance of Personalized Service

Personalization is one of the most effective ways to gain customer loyalty by offering customized experiences. In card and payment systems, personalized services increase user satisfaction by providing solutions tailored to their needs. This, in the long run, increases customer loyalty and the company’s market share.

Artificial Intelligence and its Future

Artificial intelligence is revolutionizing data analysis and personalization processes. It is predicted that companies that do not use artificial intelligence in the coming years will lose their competitive advantage. AI helps companies make more informed decisions by analyzing large datasets quickly and effectively. This increases operational efficiency and improves the customer experience.

The Power of First-Party Data

First-party data is data that companies collect directly from their customers and is one of the most valuable types of data. Because this data reflects the real behavior of customers, it plays a critical role in providing personalized services. By effectively using first-party data, companies can offer their customers more personalized and meaningful experiences.

Future Risks and Opportunities

In the coming years, it is predicted that companies that do not use artificial intelligence and data analysis will face significant challenges. However, companies that effectively use these technologies and can offer personalized services will gain a significant advantage in the market. Therefore, it is crucial for companies to review their data strategies and increase their investments in artificial intelligence and personalization.

Conclusion

Data and personalization are key to success in card and payment systems. Accurate data analysis and personalized services enable companies to both increase customer satisfaction and boost profitability. Artificial intelligence plays a significant role in this process, and it is predicted that companies that do not utilize this technology will lose their competitive advantage in the future. Therefore, it is crucial for companies to strengthen their data strategies and increase their investments in artificial intelligence and personalization.