VP of Sales in Services (non-Government)2 years ago
Today this is a trap many fall into, and will continue to. With the hype around analytics in all areas of business - sales is forced to spend more time with it as well. In my experience - falling into the trap of over analyzing becomes (generally) a fool's errand.
Good leaders, in sales, ops, HR, etc., usually have a common trait of good communication. I've found that a few solid and backed analytics to share throughout the organization can be just as effective.
Part of being a leader is listening to other's ideas as well - including their ideas on what analytics would be helpful or impactful based on their own experience. Before following through on the work to produce those - be inquisitive - "what questions did that answer for you?" "What gap did that help close?" "How did people react/change?" etc.
Creating and studying new analytics can be a much bigger task than most people anticipate. It usually takes a lot more time to mine and collect the data than we'd like - and those exercises won't be fruitful without really solid diligence.
That is of course - until you find out that you don't have good clean data - now you've found the new problem to work on!!
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I am looking for advice on shifting my contact center's QA program focus from call quality to gathering customer experience insight.
Today this is a trap many fall into, and will continue to. With the hype around analytics in all areas of business - sales is forced to spend more time with it as well. In my experience - falling into the trap of over analyzing becomes (generally) a fool's errand.
Good leaders, in sales, ops, HR, etc., usually have a common trait of good communication. I've found that a few solid and backed analytics to share throughout the organization can be just as effective.
Part of being a leader is listening to other's ideas as well - including their ideas on what analytics would be helpful or impactful based on their own experience. Before following through on the work to produce those - be inquisitive - "what questions did that answer for you?" "What gap did that help close?" "How did people react/change?" etc.
Creating and studying new analytics can be a much bigger task than most people anticipate. It usually takes a lot more time to mine and collect the data than we'd like - and those exercises won't be fruitful without really solid diligence.
That is of course - until you find out that you don't have good clean data - now you've found the new problem to work on!!