Commodity Trade Volumes Data
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At Nomad Data we help you find the right dataset to address these types of needs and more. Sign up today and describe your business use case and you'll be connected with data vendors from our nearly 3000 partners who can address your exact need.
Commodities data, maritime data, as well as other datasets can provide important insights into global commodity trade volumes. Insights from this data can help business professionals better understand the volume of goods being shipped and received by country, the locations of those goods, and who is supplying them. This in turn can help inform decisions about the commodities markets and associated risks.
One of the most commonly available forms of commodities data is historical trade data, which includes intraday, historical, and current data from around the world. Through access to such data, businesses can gain insight into the daily trade volumes that take place in different countries and in different commodities. This can allow them to identify trends and patterns in global trade, understand the factors driving demand, and spot any potential risks or opportunities.
Maritime data is another key source of insight into commodity trade volumes. This data can provide information on the flow of goods over time, enabling businesses to get an overall picture of which countries are importing and exporting different goods and in what quantities. The data can also give insight into the ports, routes, and vessels being used to transport commodities, as well as the types of ships transporting these goods and their characteristics. In addition, maritime data often includes information on “floating cargo”, that is, goods that have been shipped but have yet to be received. This type of data can help businesses anticipate potential delays and disruptions in shipments, as well as identify any potential inefficiencies in existing processes.
In addition to commodities and maritime data, businesses can also utilize a range of other datasets and indicators. This includes macroeconomic data such as GDP and inflation, as well as regional or provincial statistics. Knowing the economic and political context of a target market can provide valuable insight into the potential success of a new product or strategy. Similarly, businesses can use climate data to help inform decisions about the best location for a new warehouse or factory.
Overall, data such as commodities data, maritime data, and other datasets can provide important insights into global commodity trade volumes. By gaining a better understanding of the flows of goods and related factors, businesses can more accurately anticipate and mitigate potential risks, as well as identify potential opportunities for growth. In this way, access to these datasets can be essential to making informed, data-driven decisions in the commodities markets.
One of the most commonly available forms of commodities data is historical trade data, which includes intraday, historical, and current data from around the world. Through access to such data, businesses can gain insight into the daily trade volumes that take place in different countries and in different commodities. This can allow them to identify trends and patterns in global trade, understand the factors driving demand, and spot any potential risks or opportunities.
Maritime data is another key source of insight into commodity trade volumes. This data can provide information on the flow of goods over time, enabling businesses to get an overall picture of which countries are importing and exporting different goods and in what quantities. The data can also give insight into the ports, routes, and vessels being used to transport commodities, as well as the types of ships transporting these goods and their characteristics. In addition, maritime data often includes information on “floating cargo”, that is, goods that have been shipped but have yet to be received. This type of data can help businesses anticipate potential delays and disruptions in shipments, as well as identify any potential inefficiencies in existing processes.
In addition to commodities and maritime data, businesses can also utilize a range of other datasets and indicators. This includes macroeconomic data such as GDP and inflation, as well as regional or provincial statistics. Knowing the economic and political context of a target market can provide valuable insight into the potential success of a new product or strategy. Similarly, businesses can use climate data to help inform decisions about the best location for a new warehouse or factory.
Overall, data such as commodities data, maritime data, and other datasets can provide important insights into global commodity trade volumes. By gaining a better understanding of the flows of goods and related factors, businesses can more accurately anticipate and mitigate potential risks, as well as identify potential opportunities for growth. In this way, access to these datasets can be essential to making informed, data-driven decisions in the commodities markets.
