Sometimes complex customer problems require complex solutions. We can get stuck in considering how do we address it instead of thinking of the customer first. Addressing the complex problems of your customer requires finding a way to be part of the bigger ecosystem that the customer’s complex issue sits in.
Data science lessons learned from experiencing COVID-19
Some people would ask, as a data scientist are you upset that the data actually failed you. Not really. Because I know in data science gaining insights from data is a combination of what the data tells you as well as a business person’s intuition and experience. It is a failure to rely too heavily on one or the other. You need to question everything. The data as well as our cognitive biases.
What does your data do for you? Does it have a real impact?
If we want to see your data impact trends, then we need to look at metrics rather than just tracking data. The thing is that we have to track the data to produce the metrics. But it’s seeing the trends in metrics that really drives business outcomes and behavioural change .
Are you customers tolerating things that really are a retention risk
When a product is new and innovative, there are things customers live with because gains outweigh pains. But is there a future retention risk?
When marketing is considered the poor cousin to sales
Marketing contribution is often overlooked when marketing is thought of as a cost center. It takes time and effort to demonstrate the real contribution to profits.
Charting an end-to-end revenue cycle
When we chart intermediate conversion steps through the end to end revenue cycle, we can see trends that help us with improving the overall sales process. Regardless of stage or team that is interacting with the prospect.
