Central questions (excerpt from the adesso questionnaire)
Posted: Sat Jan 25, 2025 3:44 am
The design of the domains should be based on the natural business boundaries in order to make data responsibility and management effective.
What business domains exist in insurance and what data is generated in each domain?
How are the current data flows organized in relation to the business domains and what data is exchanged between the different systems?
Clearly defined responsibilities – make data handling more efficient:
In the area of data management, an insurance company can set up a data-centric domain team that is responsible for managing data infrastructure, databases, data security and integrity. This team ensures that data is stored, managed and delivered efficiently and securely.
It is important that each domain has clear responsibilities to handle data efficiently and ensure clear data ownership.
Central questions (excerpt from the adesso questionnaire):
Which teams or departments are currently responsible for argentina consumer email list managing and maintaining data in each business domain?
Are there clear responsibilities for data quality, data management and data analysis in each domain?
Autonomous data teams – ensure independent data management
An insurance company can set up an autonomous data team to analyze insurance risks. The team is responsible for data acquisition, preparation and analysis and develops risk assessment models. This improves the analysis of insurance risks and creates the basis for sound pricing and risk management.
Another example is an autonomous customer behavior data team in an insurance company. This team collects and analyzes data on customer interactions, purchasing behavior, and preferences. This enables the insurance company to create personalized offers, better understand customer needs, and increase customer satisfaction.
Each domain should be managed by its own autonomous team to ensure the necessary expertise and decision-making authority for independent data management.
Central questions (excerpt from the adesso questionnaire):
Have autonomous data teams already been established in the domains that are responsible for data management?
Do these teams have the necessary expertise and decision-making authority to carry out data-related tasks independently?
Technological independence – the right technology for every domain
In an insurance company, a data domain can be defined for IoT-based claims management. This domain is technology-independent and enables the integration of data from various IoT devices such as sensors in vehicles or smart home systems. This enables effective claims management that uses real-time data and supports proactive loss prevention. Another domain can, for example, focus on cloud-based data analysis and storage.
What business domains exist in insurance and what data is generated in each domain?
How are the current data flows organized in relation to the business domains and what data is exchanged between the different systems?
Clearly defined responsibilities – make data handling more efficient:
In the area of data management, an insurance company can set up a data-centric domain team that is responsible for managing data infrastructure, databases, data security and integrity. This team ensures that data is stored, managed and delivered efficiently and securely.
It is important that each domain has clear responsibilities to handle data efficiently and ensure clear data ownership.
Central questions (excerpt from the adesso questionnaire):
Which teams or departments are currently responsible for argentina consumer email list managing and maintaining data in each business domain?
Are there clear responsibilities for data quality, data management and data analysis in each domain?
Autonomous data teams – ensure independent data management
An insurance company can set up an autonomous data team to analyze insurance risks. The team is responsible for data acquisition, preparation and analysis and develops risk assessment models. This improves the analysis of insurance risks and creates the basis for sound pricing and risk management.
Another example is an autonomous customer behavior data team in an insurance company. This team collects and analyzes data on customer interactions, purchasing behavior, and preferences. This enables the insurance company to create personalized offers, better understand customer needs, and increase customer satisfaction.
Each domain should be managed by its own autonomous team to ensure the necessary expertise and decision-making authority for independent data management.
Central questions (excerpt from the adesso questionnaire):
Have autonomous data teams already been established in the domains that are responsible for data management?
Do these teams have the necessary expertise and decision-making authority to carry out data-related tasks independently?
Technological independence – the right technology for every domain
In an insurance company, a data domain can be defined for IoT-based claims management. This domain is technology-independent and enables the integration of data from various IoT devices such as sensors in vehicles or smart home systems. This enables effective claims management that uses real-time data and supports proactive loss prevention. Another domain can, for example, focus on cloud-based data analysis and storage.