Traffic congestion is a longstanding problem in Indonesia's big cities. Not only Jakarta, this year's World Bank report mentions other big cities such as Padang, West Sumatra; Malang, East Java; Pontianak, West Kalimantan; Bengkulu; and Yogyakarta is among the cities with the highest ratio of congestion time. Traffic jams take up a lot of people's daily lives. Take for example the capital city of Jakarta. Every year the people of Jakarta spend more than 400 hours on the road. No different from Jakarta, in other cities such as Padang and Yogyakarta, a quarter of their travel time runs out in the middle of traffic jams. The use of data to help find bottlenecks has been done frequently but has not yet felt effective, a data analysis method is needed to dig deeper into what is hidden from the data warehouse, this encourages the emergence of knowledge to solve the problem of extracting important information or patterns or pulling from large amounts of data, which is called data mining. From the narrative above, explain how to use data with data mining to overcome congestion in big cities?