Let us look into the details of its individual components:

Data Acquisition (Input)
Structured data acquisition is critical to perform all subsequent data-related functions in an efficient and integrated manner. Data that is unstructured and not collected in databases is likely to create vacuums in data analysis. In today's insurance industry, data acquisition happens in five different broad segments:

1. Customer data:?Customer relationship management, customer self service portals, new business management systems and other customer touch point systems are the sources for acquiring this data. It comprises of customer's personal data such as family, contact, activities, complaints, service requests, financial, health, campaign offers, policies, loans and benefits info. This group of data is generally administered in CRM, customer portals, and IVRS.

2. Distribution data: Distribution administration, sales & service management, compensation, compliance and other distribution touch point systems are the sources for acquiring this data. This group of data is generally administered in Distribution or Channel management systems, IVRS, FNA, quotation, applications and compliance management systems.

3. Policy administration data:?New business, underwriting management, claims, accounting and actuarial data are the sources for acquiring this data. It comprises of financial needs analysis, quotes, new business applications, cashier entries, lock/collection boxes, accounting, valuation, loss ratios, document images, turn around time, underwriting, claims and policy services info.  This group of data is generally administered in legacy policy administration, claims, accounting and actuarial systems; however, there could be number of separate systems for underwriting, policy services and new business support systems.

4. Product administration data: Product administration and pricing are the sources for acquiring this data. It comprises of product setup & management, profiling, pricing, profitability and product performance. A very few industries maintain market research data too. This group of data is generally administered in product management systems, actuarial systems, DWH and data marts.

5. Employee data: It comprises of employee personal details such as contacts, activities, payroll, education qualifications, certifications, credentials, job history, training and development info. This group of data is generally administered in HRMS; however, in some cases there may be separate payroll and training & development systems.

Missing, unstructured or disintegrated data acquired in any of the above five categories would create a gap in the data management chain and hence it is recommended to fill up these gaps diligently.