Big Data refers to massive databases of information about (millions) of individual consumers, and data mining (rooting around the data looking for any type of pattern)—all packaged into some kind of scoring model. An insurer might use all types of non-insurance databases of personal consumer information for marketing, pricing, and claims settlement.
Insurers have always been in the data collection and data management business, but historically the data collected was limited. In the past decade, insurers started utilizing credit information and data mining, collecting social security numbers and non-insurance data such as web browsing history or online shopping habits, and using new categories of insurance data such as more granular claims data, drones, or telematics. The Center for Economic Justice has advocated for greater consumer disclosure and control over the personal data collected by insurers, for greater security and protection of these personal data by insurers and for meaningful disclosure and redress if the personal data are lost by or stolen from insurers.
Insurer’s use of big data has huge implications for fairness, access, and affordability of insurance. Despite insurers’ claims that algorithms are “objective,” Big Data algorithms can easily reflect and perpetuate historic unfair discrimination. In a 2004 study, the Missouri Department of Insurance found that the single best predictor of the average insurance credit score in a zip code was the size of the minority population in the ZIP code.
The Center for Economic Justice believes that insurers’ use of Big Data holds great opportunities to improve availability and affordability of insurance, to improve transparency in insurance sales and claims settlement, and to promote partnership between consumers and insurers to prevent losses and promote resiliency and sustainability. But such outcomes are not automatic. Without public policy guardrails, insurers will use Big Data in the opposite direction—resulting in less transparency and less accountability to consumers.
Insurer’s use of Big Data poses a huge challenge to state insurance regulation. Big Data and associated algorithms radically increases the market power of insurers, both versus regulators and versus consumers. Regulators face huge challenges in their ability to keep up with changes and protect consumers from unfair practices. CEJ continues to hold insurers accountable for their practices, to improve the available market monitoring tools for insurance regulators, and to increase disclosure of insurer Big Data practices. We aim to stop unfair practices that undermine insurance availability and affordability.
| Name | Downloads | Version | Owner | Last Modified | Rating |
|---|---|---|---|---|---|
| Name | Downloads | Version | Owner | Last Modified | Rating |
| 776 downloads | 1.0 | Dana Glass | 2018-06-21 12:24 | ||
| 1064 downloads | 1.0 | Dana Glass | 2018-06-21 12:23 | ||
| 687 downloads | 1.0 | Dana Glass | 2018-05-15 12:23 | ||
| 956 downloads | 1.0 | Dana Glass | 2018-05-03 12:17 | ||
| 812 downloads | 1.0 | Dana Glass | 2018-04-06 11:52 | ||
| 667 downloads | 1.0 | Dana Glass | 2018-04-06 11:50 | ||
| 744 downloads | 1.0 | Dana Glass | 2018-03-20 11:53 | ||
| 637 downloads | 1.0 | Dana Glass | 2018-03-07 11:47 | ||
| 636 downloads | 1.0 | Dana Glass | 2018-03-01 12:21 | ||
| 952 downloads | 1.0 | Dana Glass | 2018-03-01 12:18 | ||
| 695 downloads | 1.0 | Dana Glass | 2017-12-03 20:55 | ||
| 705 downloads | 1.0 | Dana Glass | 2017-09-21 20:57 | ||
| 675 downloads | 1.0 | Dana Glass | 2017-09-18 20:58 | ||
| 715 downloads | 1.0 | Dana Glass | 2017-09-10 20:56 | ||
| 683 downloads | 1.0 | Dana Glass | 2017-08-15 21:00 | ||
| 651 downloads | 1.0 | Dana Glass | 2017-08-14 20:59 | ||
| 709 downloads | 1.0 | Dana Glass | 2017-08-08 21:01 | ||
| 741 downloads | 1.0 | Dana Glass | 2017-08-06 20:57 | ||
| 584 downloads | 1.0 | Dana Glass | 2017-05-25 14:36 | ||
| 656 downloads | 1.0 | Dana Glass | 2017-05-24 14:33 | ||
| 663 downloads | 1.0 | Dana Glass | 2017-04-28 14:47 | ||
| 664 downloads | 1.0 | Dana Glass | 2017-04-24 15:04 | ||
| 677 downloads | 1.0 | Dana Glass | 2017-04-08 15:26 | ||
| 743 downloads | 1.0 | Dana Glass | 2017-04-08 15:25 | ||
| 603 downloads | 1.0 | Dana Glass | 2017-03-03 15:13 | ||
| 625 downloads | 1.0 | Dana Glass | 2017-01-05 14:52 | ||
| 621 downloads | 1.0 | Dana Glass | 2016-10-25 15:27 | ||
| 704 downloads | 1.0 | Dana Glass | 2016-10-13 15:30 | ||
| 718 downloads | 1.0 | Dana Glass | 2016-09-27 15:12 | ||
| 665 downloads | 1.0 | Dana Glass | 2016-08-28 14:41 | ||
| 580 downloads | 1.0 | Dana Glass | 2016-08-19 15:28 | ||
| 632 downloads | 1.0 | Dana Glass | 2016-08-08 15:05 | ||
| 638 downloads | 1.0 | Dana Glass | 2016-08-08 14:46 | ||
| 705 downloads | 1.0 | Dana Glass | 2016-08-01 15:29 | ||
| 613 downloads | 1.0 | Dana Glass | 2016-05-09 15:18 | ||
| 665 downloads | 1.0 | Dana Glass | 2016-05-04 15:19 | ||
| 658 downloads | 1.0 | Dana Glass | 2016-04-03 14:38 | ||
| 745 downloads | 1.0 | Dana Glass | 2016-02-01 15:15 | ||
| 673 downloads | 1.1 | Dana Glass | 2015-12-10 15:33 | ||
| 732 downloads | 1.0 | Dana Glass | 2015-11-01 13:50 | ||
| 637 downloads | 1.0 | Dana Glass | 2015-07-21 13:48 | ||
| 591 downloads | 1.0 | Dana Glass | 2015-07-20 13:54 | ||
| 714 downloads | 1.0 | Dana Glass | 2015-07-03 14:37 | ||
| 695 downloads | 1.0 | Dana Glass | 2015-06-29 15:22 | ||
| 664 downloads | 1.1 | Dana Glass | 2015-05-27 14:51 | ||
| 621 downloads | 1.0 | Dana Glass | 2014-08-16 15:09 | ||
| 596 downloads | 1.0 | Dana Glass | 2012-03-19 15:21 | ||
CEJ Presentation on Ethical Considerations in Insurance 180621 - cej_presentation_naicsummit_ethicalbigdata_180621_slides.pdf