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Open data for transformation acceleration

Data is considered “open” if anyone is free to use, reuse and redistribute it – subject only to the requirement to attribute and/or share-alike. Join this #SASchat to hear how smart access to  open data is energizing transformation projects.



Discussion triggers

  1. Which open data sources have you used in the past 12 months, and which have been your favourites?
  2. There is a perception that open data is by government for government. In what other use cases have you seen open data contribute to better insights and decisions?
  3. What challenges have you typically come across when deciding whether to use open datasets?
  4. Which tools and methods do you think can help improve accessibility and usability of open datasets?
  5. How will increasing availability of synthetic data influence open data trends?

Further reading

Understanding your data: A series on the importance of Exploratory Data Analysis

Students showcase power of open data to help government

Why SAS joined the Open Data Platform (ODP) initiative

Free and easy: why say no to open data?


The intersection of open & internal government data