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Export Strategy: Harnessing Government Procurement Data

Spend Network

In the dynamic global trade landscape, successful exporting requires a strategic approach that leverages valuable insights and data-driven decision-making. Integrating this data into your export strategy can provide a powerful blueprint for success, offering valuable insights into market trends, demand patterns, and growth opportunities.

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Maximising Export ROI: Government Procurement Insights

Spend Network

In the ever-evolving landscape of international trade, pursuing a higher Return on Investment (ROI) is a paramount goal for businesses engaged in export activities. Here are some things to consider on how integrating government procurement insights into export strategies can maximise ROI.

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Unlock Market Insights For Your Export Strategy

Spend Network

One often untapped growth source for export agencies is government procurement data. Integrating this data into your export strategy can provide a powerful blueprint for success, offering valuable insights into market trends, demand patterns, and opportunities for growth.

Export 52
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Public Sector Insights: Unlocking Growth for Trade Associations

Spend Network

In our previous article, " Export Strategy: Harnessing Government Procurement Data ", we explored how government procurement data can seamlessly integrate into export strategy. As advocates for their respective industries, trade associations are uniquely positioned to guide business growth opportunities.

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Building NHM London’s Planetary Knowledge Base with Amazon Neptune and the Registry of Open Data on AWS

AWS Public Sector

GBIF is an international network that integrates datasets documenting more than 2.5 Neptune ML provides an integrated solution for deploying machine learning (ML) models on your graph data. Once graph data is exported, Neptune ML makes it easy to train the ML model and deploy it to an Amazon SageMaker endpoint.

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Hydrating the Natural History Museum’s Planetary Knowledge Base with Amazon Neptune and Open Data on AWS

AWS Public Sector

In order to use Neptune ML, the graph data is exported back to Amazon S3 using the Neptune-Export service. A convenient and highly cost-effective way to achieve this without having to manage the underlying compute infrastructure is AWS Glue , a serverless data integration service. With GBIF containing more than 2.5

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Improve road safety by analyzing traffic patterns with no-code ML using Amazon SageMaker Canvas

AWS Public Sector

When integrating this predictive model data with additional factors, such as weather conditions and junction types, a more comprehensive action plan can be formulated to mitigate the risk of serious injuries and fatalities. Figure 14 shows the view for exporting from SageMaker Canvas to QuickSight.