Data at Work

The world of data and its many applications. This blog will help you learn how visionary companies are monetizing their data assets and utilizing external data to enhance business operations.

Vendor Spotlight: VentureDeal venture capital investment data

Today, we would like to welcome VentureDeal to the DataStreamX marketplace. Available immediately, VentureDeal offers buyers worldwide 2 data products that cover North American Venture Capital transactions, venture deal investors and venture backed start-ups.

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CEO Seminar: How to mash up data in creating enriched services

In the next installment of IDA's Data 101 seminar series, DataStreamX CEO Mike Davie will be the featured seaker in a discussion on the possibilities enabled by merging internal and external data sources to drive services innovation.

The Data 101 seminar series is organised by the National Cloud Computing Office at the Infocomm Development Authority of Singapore. Data science practicioners and enthusiasts join this monthly series to discuss current trends in big data and its application, as well as to share perspectives of the power of data science.

The seminar is on September 30 and admission is free. Click the button below to reserve a seat! 

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Go-To-Market Guidebook #1: What you got?

As more and more organizations decide to strategically enter the data economy they start to have a lot of questions about the execution of doing so:

  • How should we select the correct data to sell?
  • How do we “productize” our data?
  • What price should we charge?
  • What is the process to securely transfer the data?
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Vendor Spotlight: Chinese Economic Data from DataYes


Today, we would like to welcome DataYes to the DataStreamX marketplace. Available immediately, DataYes offers data buyers worldwide 2 data products - F&B eCommerce, and Stock Exhange News & Sentiment data for China.
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Structured to Sell - Part 4 of 4: Data Compliance & Security

Data sensitivity and security should be top of mind for any organization that is considering selling data. However, these considerations should not prohibit an organization from participating in the data economy.

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