Das könnte Sie auch interessieren:

Spitex Zürich gibt "Strom"

Zürich (ots) - Mit einer der grössten elektrischen Fahrzeugflotten übernimmt Spitex Zürich eine ...

Welcher Versorger nutzt die Chancen der Digitalisierung?

München (ots) - In der Energiebranche wächst der Druck: Energiewende und Digitalisierung verändern den ...

Marcus Hebein wird neuer Leiter Multimedialer Newsroom

Bern/Zürich (ots) - Keystone-SDA erhält einen neuen Leiter Multimedialer Newsroom: Marcus Hebein wird ab ...

16.01.2017 – 12:10

Process Excellence Network

How Insurance Companies Are Using Data and Analytics to Stay Competitive

London (ots/PRNewswire)

Process excellence network recently caught up with some of Europe's leading insurance companies Vitality, Axa and Groupama to explore the ways they are using data and analytics to stay competitive in the industry. From the use of predictive analytics to gaining a clearer picture of customer lifetime, learn from their experience in our exclusive 9 step article. Download your copy here http://bit.ly/2hWnbcZ

Lessons include not blindly jumping on the buzzword bandwagon Pierre du Toit, Head of Technical Pricing & Big Data Analytics, Vitality notes the importance of prioritising the right data projects that are likely to end in driving actual value to your customers and to the wider insurance organisation. "... start small and show the value of data to the company - this way you'll get business buy-in and gradually build momentum over time. Being agile and showing value very quickly is very important for longer-term success within a company."

Other findings were to begin with integration at the front of your infrastructure strategy. Barry Hawkins, Head of Dynamic Underwriting and Pricing, AXA explains: "A comprehensive data source [stores] the data in one place where marketers, pricing professionals and, to some extent, claims analytics can use the same data to drive a single view of customers/ a product/ a portfolio - then you can drive a company-wide strategy."

It is vital to gain a clearer picture of customer lifetime value, Barry Hawkins notes that certain amounts of data are focused on hygiene - whether the client is who they claim to be. For basic pricing, it is important to identify the kind of risks that need to be avoided. Data should produce a lifetime value view of a customer to highlight the high value clients.

No two customers are the same, so why price the same when considering their businesses? Those companies who look at customer lifetime value (CLV) have been shown to be far more profitable than those that don't and big data analytics makes this task far easier than it has ever been.

For the full findings download the article here: http://bit.ly/2hWnbcZ

For more information about Big Data & Analytics for Insurance conference visit https://dataanalyticsinsurance.iqpc.co.uk .

Contact:

+44(0)207-036-1300

Alle Meldungen
Abonnieren Sie alle Meldungen von Process Excellence Network
  • Druckversion
  • PDF-Version

Orte in dieser Meldung

Themen in dieser Meldung