Definition of Data Modeling specialized in finance
A holistic, end-to-end picture of the customer journeys and experience
Search for customer information by many criteria.
Quantitative data allows enterprises to understand how each customer has interacted with their organization, through certain actions, reactions or transactions.
Enterprises could divide customer groups into many specific segments to flexibly meet the requirements of marketing, upselling, and cross-selling
Provides functionality to standardize data.
Find duplicate customers on many different criteria, which can be customer identification criteria or a combination of multiple criteria.
Provide a reliable data platform, helping to troubleshoot for businesses with many independent customer information storage systems.
Collect customer data from many different sources: File, Database
Share customer data to other systems through Rest API or export to File.
Build multi-platform integration with existing systems as well as deploy later
Support multiple reports on data quality: number of customers, number of customers by age, gender, address, etc
Interactive reports/dashboards help users get an in-depth look at customer data, drill-down from overview to details, easily distribute audiences, profile marketing campaigns and also evaluate effectiveness of promotional campaigns, upselling, cross-selling.
Give an overview and in many dimensions so that the organization has an overview in all aspects (touch points) about customers as well as evaluation of marketing campaigns.
