Drivers of Self-Service Data Quality in Insurance

An in-depth exploration of the evolving need for self-service solutions in Insurance, covering trends and technologies bringing data quality functions closer to data stewards and business users.

Topics Covered In This Whitepaper

"As much as 70% of a highly qualified analyst’s time is spent locating and fixing the data."

Leveraging Automation to deliver efficiencies

"While the Insurance industry faces a plethora of challenges with data and analytics, it’s imperative that executives recognize that the quality of the data is fundamental to capitalising on market opportunities."

The Importance of C-Level Buy-In

"AI data scientists can spend up to 80% of their time just preparing input data for machine learning algorithms, which is a huge waste of their expertise"

Preparing Data For The AI Driven Future

A bit about the author

Julian Wavell is Head of Business Development for Datactics’ UK business.

Previously holding roles at a number of major international data management software firms, Julian joined in 2021 to help clients leverage the self-service capabilities of Datactics’ software, especially in financial services and insurance. 

My strategy has been two-fold. Firstly, building trusted relationships with customers directly to solve their problems; whether that be data quality, data governance or mastering data. Secondly, working with Partners – as they can have greater visibility and insight into the bigger picture regarding customer projects and initiatives and can bring more value through domain expertise and their ability to scale solutions.”

Datactics ssdq in insurance cover image

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