Fascinating and wide-ranging conversation with Charles Caldwell, VP of Product, Logi Analytics
There were some great pithy lines and some super sensible insights.
Listen to the full conversation on the Podcast
We talked about:
A career in Product Management
Why did product management became his thing? Turns out he had always been interested in trying to find ways to make things better for people from being a young kid but didn’t know what that was a job.
What is Product Management?
- Balance between the perfect solution and the doable.
Key Challenges in Product Management
- You cannot hire and fire but have to influence – a liberating and intellectual challenge.
- Underestimating the amount of influencing you have to do to be successful.
What Makes a Good Product Person?
- Engineering background is a good signal for a product person. You need to be curious.
- You need to be intelligent, both in terms of IQ and EQ. Curiosity and empathy
What are the biggest challenges in Business Intelligence (BI)?
Design, cultural, technical and process challenges have always been an issue.
Mostly around data.
Our ability to store and maintain data in a useful way is very hard. All starts with the quality of the data. Data kept for some purposes is simply not fit for other purposes. Data volume increases faster than software gets better.
On culture, people and management
Numeracy is a huge challenge from a cultural perspective.
Data literacy, confirmation bias and more are huge challenges.
1950s management thinking was that bringing all the data together was the solution. Of course it wasn’t.
Then the internet showed that disparate sets of data could be much more powerful.
On data – again
Today, data is much more available, there is tons more. It’s hard to know what to do with it.
There are two types of problems
- Simple/solved – we know what do – build a bridge for example.
- Wicked problems – we don’t know what to do and we have to work out how to find a solution.
Data can help solve the wicked problems.
ISVs are way out there in terms of developing new ideas, adopting new ways of working, developing solutions to problems. Best people to work with.
Working with ISVs forces Logi Analytics to solve new and hard problems.
We, Logi Analytics, sell a complex set of features and solutions that help ISVs get analytic solutions to the market quickly. We try to help them building products that generate data your customers want without breaking your product roadmap.
For ISVs, understanding the data needs and data literacy of customers, is a fundamental part of good product management. Your applications have to deliver your customers the right data, not all the data, to the right people in the organization. Some of the best applications companies not only understand the data their customers need, they also understand that by actively helping them to increase the data literacy of their orgs, their applications become more embedded in those businesses.
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