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Data Insights

Build an information architecture to gain new insights, analyze data, and create predictive models. In this way, make use of all existing data.
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AI Factory for Insurance

Optimize the use of data, processes and technology and put people at the center.

Ask yourself these questions, too:

  • How can I offer my customers attractive, personalized services?
  • How can different data sources be connected and used for analyses and forecasts?
  • How do you efficiently develop AI models in the company? How do you create trust in the AI models? How to deploy the models and integrate them into operational processes?
  • How to best leverage the benefits of a scalable cloud architecture?
  • How can I give my actuaries more flexibility in calculating complex projection models?
Challenge

80% of existing data remains unused


Insurers have rapidly growing stocks of specialized data. However, 80 percent of this data is currently unused and lies dormant, for example in image archives that cannot be analyzed. Various data sources have to be tapped and information extracted.

Rule-based approaches as well as learning models, which are used for decision support, help in this process. Voice, image and video data are becoming increasingly important - and the systems learn to understand them (almost) "like a human being".

Data Insights

Create a data-driven corporate culture


With Data Insights, we help you step by step with the appropriate architecture to use new technologies and develop a data-driven corporate culture.

From the development of new data sources, to exploratory analysis to gain new insights, to predictive models, we are there for you. This is done, for example, using mathematical optimization of sales allocations, modeling of cancellation probabilities and product closure behavior, or high-performance and cost-effective models for asset-liability management.

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Benefit from Data Insights:

Overcome data silos

Obtain cross-departmental data access and thus discover correlations in the data while taking into account the access rights of the source systems. Focus on original data while avoiding data copies.

Generating knowledge from data

Use the possibility of (automatic) cataloging of data: Data cleansing and data understanding, dynamic monitoring of data quality as well as confidentiality. With the help of systematic "data governance", you thereby ensure the trustworthiness of data, on which e.g. machine learning models are based.

Increase data science productivity

Increase agility by automating complex processes, improving data quality, and enabling easier usability even for business-oriented employees without deep IT skills.

Embedding of analysis results in the process flow

Build flexible information architectures. Use not only the analysis results and forecast models for a digital workflow, but also the knowledge from data for better business processes.

Our services for you:

Rely on Data Insights, we will help you!

  • Data Fabric and AI Factory for Insurance:
    We support you in the selection of data science tools as well as in the licensing, configuration and operation of analysis software. We also advise you on information architecture, data preparation and the development and deployment of machine learning models. Within the framework of the AI Factory for Insurance, we help you to use AI systematically in all business processes.

  • Data-driven sales and performance processes:
    We increase the automation of your business processes by using the insights from your data to control the processes - with a preference for dark processing. With BI, we visualize your insurance data and create the basis for better forecasts and calculations.

  • DevOps for actuaries:
    Together, we are replacing monolithic risk management and projection modeling tools. Instead, we are introducing modern, open source DevOps modules for projection modeling for insurance companies. This faster, higher-frequency projection modeling is resource-efficient, dynamically tying up only as much computing capacity as is currently needed.

  • Data Science and Mathematical Optimization:
    Our experts also solve challenging optimization tasks with you using mathematical methods and provide support in the introduction and implementation, e.g. with CPLEX.

Technologies used:

For data insights for insurers, we rely on various manufacturers:

Google Logo
Logo Microsoft
Logo Open Source

We are happy to advise you.

We are there for you holistically, which is why we not only support you in procuring and optimizing licenses for the software you need, but also accompany you with our Managed Services.

  • By means of discovery workshops for the selection and planning of use cases, we jointly lay the foundation for data insights.
  • In addition, we assist you with the connection of data sources, the selection and introduction of analytics, BI, AI, data science tools from various manufacturers, and the automation of business processes with BPM and RPA tools.
  • We advise you on your information architecture and mathematical optimization including monitoring of KPIs.
Matthias Quaisser
Business Development Lead - Insurance TIMETOACT GROUP
Contact
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Data Insights Webcasts

View past webcasts (in german) on Data Insights for free.

Event 06.05.20

Webcast: Versicherung und Data Science

Marc Bastian zeigt Ihnen ein Beispiel einer analytischen Infrastruktur für KI Anwendungsfälle, praktische Projekterfahrung und Erfolgsfaktoren.
Event 22.04.21

Webcast: AI Factory for Insurance

Im Webcast erfahren Sie, warum das Thema Künstliche Intelligenz für Versicherer so wichtig ist. Wir erklären Ihnen was die die AI Factory for Insurance genau ist und welche fünf Elemente die Factory ausmachen. Anschließend zeigen wir auf, wie diese konkret bei Versicherungen umgesetzt wird und wie sie sich in andere/ähnliche Initiativen eingliedern lässt.

May 11
Event

Webcast: Regresspotenziale nutzbar mit KI

André Ullrich von der Roland Rechtsschutz AG erzählt Ihnen in einem Praxisbericht, wie Regresspotenziale mit KI nutzbar gemacht werden können.
Event

Webcast: KI für Versicherer

Dr. Matthias Quaisser erläutert Ihnen praktische Projekterfahrung und Erfolgsfaktoren von KI und erzählt von fachliche Anwendungsfälle von KI bei Versicherern.

May 14
Event

Künstliche Intelligenz in der Rechnungsprüfung

Webcast 06.Oktober: Techniken des maschinellen Lernens können die Prüfung von Rechnungen in der privaten Krankenversicherung effektiv unterstützen. „Natural Language Processing“ ermöglicht so die Klassifikation von kurzen Texten aus den Tabellen von Rechnungen.

Oct 06

Contact us now!

We would be happy to advise you in a non-binding conversation and show you the potential and possibilities of Data Insights. Simply leave your contact details and we will get back to you as soon as possible.

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