DQPro is a data monitoring platform designed for the operational and regulatory needs of the specialty insurance market.
Nick Mair, DQPro’s CEO and Co-founder, joined Matthew Grant to discuss APIs, the London insurance market’s history and MGAs.
Talking points include:
- The founder’s story - the problem Nick saw and what he has done to help fix it
- Why fixing poor data is now recognised at board level as a top priority
- The cost of the data being incorrect and the fines being levied
- A day in the life of a data quality analyst
- Why processes set you free
- Automation - what it can do and what it can’t do
- Essential skills for building a product - listening to your customers, but making your own decisions and knowing where to focus.
Companies mentioned in this episode include Send Technology and VAVE.
If you like what you are hearing, please leave us a review on whichever platform you use or contact Matthew Grant on LinkedIn.
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Continuing Professional Development - Learning Objectives
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The Learning Objectives for this podcast are:
- Identify what poor data is and why fixing poor data is a key priority in achieving operational excellence
- List some of the pros and cons of automation and the impact this can have on a business
- Summarise essential product-building skills and understand the advantages of listening to customers whilst maintaining initiative and focus
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