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DI Data Dashboard

Dashboard: Which datasets are used to support insurance activities?

This dashboard gives an overview of the information used to support the London Market insurance value chain. It covers the value-chain activities from placing through to accounting and claims, with details about how many and which datasets are used to support those activities.

You can:

  • See how information formats change as they flow through the value chain.
  • Refine/filter the results by:
    • Original provider of dataset(s) – to focus on one or more groups
    • Data processing method – to focus on one or more processing methods typically used e.g. manual re-keying
    • Process(es) of interest – to focus on one or more process e.g. pre-bind placing or claims
    • Activity(ies) of interest – to focus on one or more activities within a process
  • Select one or more datasets and see how they move through the value chain.
  • See the pie charts describing data-sets’ structure, newness and finalisation statuses update dynamically as you make selections.
  • Click within the pie charts to see, for example, how much, and what information is structured, or re-used, or draft across the value chain.

Dashboard: Where are datasets used?

This dashboard covers the value-chain from placing through to accounting and claims. It provides detail on what tasks are performed within particular activities, and what datasets are needed to perform

You can:

  • See which datasets are used to support key tasks e.g. select particular datasets and see where and why they are used through the value chain by different users
  • Filter on particular users (e.g. Carrier or Broker) to see what tasks they need to perform, and what datasets they use to perform them
  • Select tasks to see where those tasks occur, and which datasets are used to carry them out

You are encouraged to explore the dashboards and experiment with your own clicks and queries. As these dashboards are in beta testing phase, we understand that, although detailed, they do not cover all possible data flows across the market so we expect your own internal circumstances to vary somewhat from the standardised version we are presenting. We welcome your feedback, therefore, and in order to further refine these will be including a feedback mechanism on the LM TOM website – if you have any initial comments though please e-mail these to-: glossary@londonmarketgroup.co.uk

Let us know if-:

  • the analysis is missing a particular process, task, or dataset
  • you believe that the structure of a dataset within an activity is incorrect
  • you would like the dashboards to answer other questions you have
  • any other feedback

For further information on how to use the Dashboards please have a look at this video and to see related Frequently Asked Questions please use this link.

Background

Enormous amounts of information move through the London Market every day to support various participants in a multitude of ways. The LM TOM Data Integration team completed an analysis of this information flow, documenting the creation, movement, format and uses of information through the entire value chain through in-depth workshops with London Market subject matter experts. This provided a useful reference to the TOM to understand the breadth of the market’s information landscape and assess target processes against the current ones.

Key market participants felt that this reference material should be made available to the market for familiarisation and information purposes, so TOM created a number of dashboards that visualise the analysis. TOM is publishing the first two of these dashboards in this beta release. If the market finds the dashboards useful, we will publish more.

The dashboards bring some 200,000 cells of researched data to life as interactive charts. They…

  • report ‘metadata’ (data about data) so no commercial, client, confidential or financial information is displayed
  • report the typical processes and flow of information through the London Market, for Direct and Delegated Authority business
  • are dynamic and allow you to interact with the charts and graphs to focus on particular users, processes, datasets, activities, tasks, and even facets of the datasets (datasets can be discrete, like a UMR or broader in scope, like an MRC or schedule. Datasets are documented at the level that business users typically work with them).