Company Supply Chain 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.
Data sets—including customs data—are becoming increasingly important tools for business professionals to gain insights into a company’s supply chain. By efficiently analyzing and integrating data collected from various sources, companies can gain a competitive edge in managing their operations, ensuring accuracy in tracking assets and transactions, and uncovering further opportunities in their supply chain.
The first key dataset to analyze is customs data, which provides insight into what countries and regions are supplying the company with goods and services. By analyzing customs data on a scheduled basis, companies can better understand the sources of their imports, what goods and services they are purchasing, and the amount or value of their imports. Additionally, by comparing and contrasting their current data with historical data, business professionals may also be able to identify patterns and trends in the sourcing of their imports. Furthermore, customs data can provide an indication of the origin of the goods and services (e.g. country, region or even company) that a company is purchasing, allowing business professionals to make educated decisions whether to persist with an existing supplier, or switch to a new one.
Customs data can offer further insights into a company’s supply chain by providing company exposure to certain labor regulations, such as those regarding minimum wages, overtime, holidays and sick pay, which can be determined through analysis of the goods and services originating from a certain region or country. By analyzing customs data, companies may be able to identify labor potential exposure, and thus make adjustments to their supply chain when needed.
In addition to customs data analysis, there are other datasets that can be examined to gain further insights into a company’s supply chain. These datasets include procurement data, such as invoices or purchase orders, or even industry data such as import/export industry trends or consumer purchasing preferences. By collecting, managing, and analyzing the data from these various sources, companies can gain a better understanding of the connections that they have with suppliers, and make adjustments when needed.
For example, detailed analysis of procurement data can allow companies to identify which vendors they are over-reliant on, or which vendors they are purchasing goods or services from at too high of a cost. Additionally, with profound understanding of import/export industry trends and consumer purchasing preferences, business professionals are able to optimize their supply chain and make future decisions about which areas of the organization are worth investing in.
In conclusion, by analyzing data sets, such as customs data and other sources, companies can gain valuable insights into their supply chain and uncover potential exposures to labor regulations, sub-contracting/outsourcing opportunities, and investment/joint ventures. This information can help business professionals make informed decisions on where to purchase inventory, or even discover new suppliers that may offer better value. Data sets create an invaluable source of intelligence, allowing companies to better understand their current supply chain, make adjustments if needed, and identify further opportunities in their supply chain.
The first key dataset to analyze is customs data, which provides insight into what countries and regions are supplying the company with goods and services. By analyzing customs data on a scheduled basis, companies can better understand the sources of their imports, what goods and services they are purchasing, and the amount or value of their imports. Additionally, by comparing and contrasting their current data with historical data, business professionals may also be able to identify patterns and trends in the sourcing of their imports. Furthermore, customs data can provide an indication of the origin of the goods and services (e.g. country, region or even company) that a company is purchasing, allowing business professionals to make educated decisions whether to persist with an existing supplier, or switch to a new one.
Customs data can offer further insights into a company’s supply chain by providing company exposure to certain labor regulations, such as those regarding minimum wages, overtime, holidays and sick pay, which can be determined through analysis of the goods and services originating from a certain region or country. By analyzing customs data, companies may be able to identify labor potential exposure, and thus make adjustments to their supply chain when needed.
In addition to customs data analysis, there are other datasets that can be examined to gain further insights into a company’s supply chain. These datasets include procurement data, such as invoices or purchase orders, or even industry data such as import/export industry trends or consumer purchasing preferences. By collecting, managing, and analyzing the data from these various sources, companies can gain a better understanding of the connections that they have with suppliers, and make adjustments when needed.
For example, detailed analysis of procurement data can allow companies to identify which vendors they are over-reliant on, or which vendors they are purchasing goods or services from at too high of a cost. Additionally, with profound understanding of import/export industry trends and consumer purchasing preferences, business professionals are able to optimize their supply chain and make future decisions about which areas of the organization are worth investing in.
In conclusion, by analyzing data sets, such as customs data and other sources, companies can gain valuable insights into their supply chain and uncover potential exposures to labor regulations, sub-contracting/outsourcing opportunities, and investment/joint ventures. This information can help business professionals make informed decisions on where to purchase inventory, or even discover new suppliers that may offer better value. Data sets create an invaluable source of intelligence, allowing companies to better understand their current supply chain, make adjustments if needed, and identify further opportunities in their supply chain.
