Customer Intelligence Server
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The document discusses a customer intelligence server (CIS) that automates and optimizes customer assessment requests through user-defined business policies applied on a single platform for enhanced efficiency and accuracy. It features advanced performance assessment, integration with legacy systems, and a rule-based engine for data analysis, providing deep insights into customer behavior and risks. Additionally, it offers a reporting manager interface for generating custom reports and optimizing customer management processes.
Customer Intelligence Server
- 1. Customer assessment requests usually involve Contract or Service activation, loyalty membership, a loyalty benefit usage, potential ‘save’ offer due to high churn probability and more. Each of these processes is supported as a user-defined business policy that is either implemented on a specific system or applied manu- ally. It is obvious, that every ‘assessment’ of this type can be automated and optimized (more accurate, robust, unbiased and performance-measured) if the required information is available through a single system and standard interfaces. CIS provides functionality for modeling business logic-processes, as a set of user-defined rules against the underlying customer intelligence database. Each rule-set is treated as a policy that is applied on certain events or upon request. The system supports unlimited number of policies, conditionally applied. Inherent performance assessment components allow overall process analysis and what-ifs in several levels, through advanced randomization techniques (control-placebo logic). Understand your customer base, monitor and optimize customer interaction A single point of reference for any customer assessment request A powerful, high-performance, customer assessment & management platform, acting as a single point of reference regarding customer analytics, information & knowledge produced within the enterprise. Customer Intelligence Server provides insight into your customer management processes through solid analysis of the information stored in your legacy systems and/or data warehouse. Our solution is based on a dynamic customer analytics architecture that combines business knowledge with statistical models and cutting edge software technologies in order to optimize customer interaction. CUSTOMER INTELLIGENCE SERVER <<CUSTOMER INTELLIGENCE SERVER>>
- 2. www.datamine.gr info@datamine.gr CIS IS AN OUTSTANDING CHOICE IN ALL OF THE FOLLOWING DIRECTIONS Integration: each system involved in any customer facing process can ‘assess’ the customer by sending a simple request to CIS, which will apply the active policies, the underlying checks & exceptions and respond with a standardized Customer Assess- ment XML. The ‘assessment transaction’ becomes part of the system’s history for reporting, analysis and performance evalua- tion needs but also for reasons of auditing and results verification. Performance: The system demonstrates a set of fully optimized server components that handle business policies on suitable pre-processed customer information (metadata) thus responding to any assessment request within a couple of seconds at most. Advanced monitoring & assessment capabilities: An intelligent component that handles all customer assessment request results providing detailed information in a rich database with all the historical request-transactions ready for complex, dynamic reporting, analysis and model building. RULE-BASED ENGINE CIS provides a powerful mechanism for combining customer information, predictive models and external credit agencies data, through a set of business policies: Credit officers implement complex rules using combinations of customer charac- teristics, attributes, statistics or scores while run-time adjustment of scores and dynamic modules ensure the most accurate picture of the customer when needed. Built-in algorithms that run in parallel identify ‘weird combinations’ - dynamic patterns - of data elements at application time, raising alerts as exceptions that require manual intervention. ONLINE MODULE Any registered system of the enterprise can submit a ‘question’ (simulate a customer application or service request) and get the suggested ‘decision’ based on the active business logic (set of active Policies) and the current customer informa- tion. Thus, with a simple API call the POS system evaluates a new customer, the call center system gets the life-time-value of the calling customer, and the loyalty platform requests customer value data prior to a specific transaction: Customer Value with an API call throughout the enterprise. CUSTOMER IDENTIFICATION CIS enforces efficient data transformation techniques so that the system correctly identifies the physical customer even if this entity is not fully implemented in the underlying legacy systems. A key-feature in order to understand your customers, monitor and optimize customer interaction. Extending the physical customer entity, CIS processes the complete transac- tional history of the customer and generates valuable statistics & scores that provide customer insight at a glance: usage patterns, payment behavior, demographic profile and potential segmentation. Rank-based figures allow immediate comparison of each customer with the active customer base. CREDIT RISK CIS applies a dynamic, asymmetric scoring model in order to produce quantitative figures of consumer credit risk. The model applies a top-down, auto-weighted mechanism for evaluating customer risk at the physical customer level. It captures customer payment behavior, identifies critical events within the lifecycle of the customer and finally combines billing information in order to estimate the significance of each case. The large number of parameters and cost-tuning options ensure maximum flexibility. REPORT MANAGER A flexible user interface for custom report generation, featuring special templates and randomization techniques for policy & rule performance evaluation: Powerful, dynamic reporting allows complex manipulation of customer data leading in well defined homogeneous customer segments to be used either in monitoring, as target for campaign actions or as the base set for further analysis. Integration with your data warehouse establishes new data flows that enrich the information available throughout the enterprise. ...performance measurement capabilities enabling policy scheme optimization... <<CUSTOMER INTELLIGENCE SERVER>>