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Big Data Platform for Maritime & Trade: Data Lake

Uncover Maritime & Trade insights faster. Explore, access, and coalesce our data, your data, and third-party data on a centralised, cloud-based platform.

Data volumes are increasing at an exponential rate, and exceptional low storage costs are enabling businesses to capture massive quantities of data in a cost-effective manner. As the volume and variety of available data grows, firms with interests in maritime & trade have unparalleled opportunities to gain new strategic insights.

However, the transformation of data into knowledge is challenging. The variety of data types and formats, as well as the complexity of the structures, means that data must be interpreted before it can be used effectively. To gain valuable information, specialists are needed, and the so-called "time-to-value challenge" sees businesses wrestle with datasets for months before extracting actionable intelligence.

The IHS Markit Data Lake helps you uncover business insights faster, by exploring, accessing and coalescing our data, your data and third-party data on a single, cloud-based platform. The platform is populated with over 1,500 IHS Markit datasets from diverse industries, including financial services, automotive, maritime, energy & natural resources, curated into more than 350 data packages to expedite time-to-value.

Get free access to Data Lake Catalogue Search & evaluate 1,500+ data sets from diverse industries.
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Data Lake Overview


Key Statics:

  • 1,500+ datasets of proprietary content
  • 1M reports from IHS Markit analysts
  • 5,000 IHS Markit analysts, Data scientists & Industry specialists
  • 162 transportation datasets
  • >350 data packages curated by IHS Markit specialists
  • 391 financial services datasets
  • 453 energy datasets
Maritime & Trade Use Cases

The Data Lake supports advanced analytics and data science at scale by transforming the way you find and access data. It opens the opportunity to derive new insights that can drive innovation and new product creation.

Companies are accessing a wide variety of our Maritime & Trade datasets, which includes our Global Trade datasets for bilateral import and export trade data and transactional bill-of-lading cargo information, with our Ship Movements for monitoring vessel activity and our new Risk & Compliance datasets to better understand a variety of risk factors affecting international shipping, defense and global trade. Use the Data Lake to:

  • Conduct supply chain analysis and accelerate your decision-making:
    Gain access to key market and operational insights to evaluate the global supply chain, identify suppliers and buyers, reduce compliance risk and identify which vessels to charter.
  • Take advantage of price differences by better identifying arbitrage opportunities:
    Understand market fundamentals and predict near term supply and demand shifts across the global commodity market value chain.
  • Tackle the rise of illicit trade in goods:
    Our data and analytics address strategic challenges by linking maritime operations and commodity movements to ensure commercial and government customers make well-informed decisions.
  • Minimize exposure to sanctions and financing risk within trade finance and supply chain networks:
    Integrate ship and ship movement data with a risk-based events dataset, simplifying the task of analyzing multiple datasets from multiple sources and enabling faster decision-making.
  • Support the decarbonization of international shipping through ESG insight and reporting:
    Access accurate vessel data that support ESG issues for the shipping sector, enabling more informed decision-making. This is complemented by the IHS Markit ESG Reporting Repository which revolutionizes ESG data storage and dissemination by centralizing access and improving transparency.

IHS Markit Data Lake



For more information on the Data Lake, please visit https://ihsmarkit.com/products/data-lake.html



Experts

Yaacov Mutnikas

He and his team drive the vision and roadmap for IHS Markit’s technology strategy across all product lines. He is also responsible for the firm’s data scientists who are focused on how we can combine our leading data sets with advanced analytics to deliver innovative solutions to customers. Mr. Mutnikas brings more than thirty years of experience from previous roles as senior advisor to the Bank of England, head of risk architecture at the FSA, head of business architecture at Bridgewater and CTO at Algorithmics. He holds both the Master of Science in philosophy of science from Kings College London and Master of Science in finance and investment banking from Reading University, United Kingdom.

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Gilberto Diaz

He partners with internal and external clients and a team of experienced product managers, data scientists and technologists who are at the forefront of innovations in machine learning, artificial intelligence (AI), cloud and alternative data.With 20 years' experience in various roles across fintech start-ups, top-tier investment banks, and hedge funds, he has applied quantitative, analytical and technical expertise to drive enterprise-wide transformation initiatives.He holds an MBA in Finance and International Business from Fordham's Gabelli School of Business and a Bachelor of Science in Computer and Systems Engineering from Rensselaer Polytechnic Institute.

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