Help your employees learn the basics of data analysis.
.” While there are many contributing factors, one of the most important is the sheer lack of analytic talent, up and down the organization chart. In turn, this lack of talent makes it harder for companies to leverage their data, to take full advantage of their data scientists, and to get in front of data quality issues. Lack of talent breeds fear, exacerbating difficulties in adopting a data-driven culture. And so forth, in a vicious cycle.
. The first step will lead to a picture similar to the one below, and the rest of the exercise involves exploring the implications of that picture.Give employees hands-on experience with data by asking them to collect and plot data on a familiar topic. Meeting start times are just one example.
FAM can also point out which data attributes have the biggest error rates, suggesting where improvements can be made, using root cause analysis, described next. Charge each member of your team with making one such improvement.understanding the distinction between correlation and causation
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