Many companies collect large amounts of data, but they don’t know how to turn it into practical insights. It’s simple to collect information, but it is a task for smart people to translate that data into meaningful information. This isn’t an easy task, particularly since the three rapidly changing technology areas of social, mobile and big data generate huge amounts of raw data which must be analyzed for insight.
There are several key techniques that can aid your business in turning insights into action. First, make sure that the appropriate people are aware of the insights. Typically, insights are only relevant if they affect the right people or teams such as an email that indicates growth in sales in one segment may not be as useful to an order fulfillment team as it is to a C-suite leader.
You can also apply predictive analytics by playing around with certain levers within your data model and observing the results. This will allow you to be more precise in determining what actions that you should take. For instance, a company could use predictive analytics https://99software.org/2023/06/14/what-is-actionable-analytics/ to determine the impact on conversions if they increased the quantity of emails sent out to an individual segment.
Finally, try using natural processing tools to analyze inputs and discover what your customers are asking about the most. You can then develop resources that answer these queries and make them available to your users so that they can resolve their own issues.
