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There is no easy button for determining how to use your data. We like to think that data is this perfect, impartial mediator for human emotions and bad decisions. But really, the data is just a full of biases as your intuition and “gut’ is.
An analysts job is to understand what types of biases could potentially impact the output of your analysis, dashboard or model, and then ensure that the data users know the pros and cons of your dataset.
In this episode of Data Able, we’ll talk about looking at your datasets, making judgement calls about that data, and questions to ask of your data’s origin/source. We’ll also cover some real-life examples from our own pasts where data we used were suspect and how we handled them.
Most importantly, we’ll talk about some strategies for managing through the inherent bias in your organization’s data, and how the “manage” your end-users through that process. Getting executive buy-in and ensuring everyone is comfortable with the pros/cons of the dataset BEFORE you deliver the analysis is the key!
Links and References
Understanding Data Governance - CIO.com
The Data Able Podcast is made possible by Beyond the Data
We are on a mission to help people like you become a champion in your organization for a more data-informed approach. Data science and analytics is critical, but getting real value requires building a culture that starts with you, is supported by executives, and trickles down to every person in your organization.