Avoid these mistakes to ensure that your data analysis and reporting efforts will have the desired impact
Data visualization is often the final hurdle between turning data into insights and ensuring that insights from data are understood by the key people so they can make better-informed decisions and take the appropriate actions.
Unfortunately, data visualization mistakes are very common. Finding the best ways to visualize the data is often considered as an afterthought rather than a critical piece of the process. Poor data visualisations can lead to muddled messages and ultimately, poorly-executed and ineffective decisions.
So here are five key mistakes I see day in and day out. Avoiding these will ensure that your data analysis and reporting efforts will have the desired impact.
by Bernard Marr