Poor quality data remains the biggest challenge for insurance data scientists

Analysts tracking data in real time

Insurers have been urged to review their data practices and ensure data is coming from “official or trusted” sources, as research suggests nearly half of data scientists are left stuck with untrustworthy data.

Doorda, an analytics-ready data provider, has found that nearly half (40%) of data scientists have reported that they had used data that later proved untrustworthy or unavailable.

The report, The

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact info@postonline.co.uk or view our subscription options here: http://subscriptions.postonline.co.uk/subscribe

You are currently unable to copy this content. Please contact info@postonline.co.uk to find out more.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to Insurance Post? View our subscription options


Want to know what’s included in our free registration? Click here

Already have an account? Sign in here

This address will be used to create your account

Most read articles loading...

You need to sign in to use this feature. If you don’t have an Insurance Post account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here