Using Data Literacy to Drive Insight

The pandemic has taught data professionals one essential thing. Data is like water when it escapes; it reaches every aspect of the community it inhabits. This fact becomes apparent when the general public has access to statistics, assessments, analysis and even medical journals related to the pandemic, at a scale never seen before. Insight understands information in context to the degree that you can gain an understanding beyond just the facts presented and instead make reasonable predictions and suppositions about new instances of that data. Having access to data does not automatically grant the reader knowledge of how to interpret that data or the ability to derive insight. It is even challenging to judge the accuracy or value in that data. The skill required is known as data literacy, and in this presentation, we will look at how access to one data source will inevitably drive the need to access more. We will examine: •How data literacy is defined by the ability to interpret and apply context •What supporting information is needed •How a data scientist approaches new data sources and the questions they ask of it •How to seek out supporting or challenging data to validate its accuracy and value for providing insight •How this impacts underlying information systems and how data platforms need to adjust to this purpose+ data eco-system where data sources are no longer single use After you watch the webcast, check out the Q&A blog: https://bit.ly/30AwN53