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Capgemini Customer Analytics for Banking from Capgemini
End-to-end customer analytics solution featuring behavioral analysis, predictive modeling, segmentation, churn prediction, and personalization capabilities. Includes regulatory compliance features, customer journey mapping, and real-time decisioning for retail banking.
Product analysis by function
Customer Analytics for Analytics and Business Intelligence
Solutions for analyzing customer data to gain insights into behavior, preferences, and opportunities for engagement.
More Customer Analytics
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Data Integration
(6 Yes /6 Known /10 Possible features)
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Multi-Source Data Connectivity Ability to connect and import data from diverse sources such as core banking systems, CRM, social media, transaction databases, etc. |
Solution is described as end-to-end with integrations into core banking and CRM, indicating multi-source data capability. | |
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Real-time Data Ingestion Capability to process and analyze data as it is generated, minimizing delays. |
Real-time decisioning is a stated product feature, matching real-time data ingestion. | |
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Batch Data Processing Support for larger scheduled imports of data sets. |
Banking analytics platforms almost universally include support for batch processing of large datasets. | |
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APIs for Data Access Availability of APIs to facilitate integration with external or custom data sources. |
Integration with banking systems and the promise of extensibility make API access effectively required. | |
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Automated Data Quality Checks System can automatically detect duplicates and errors in imported data. |
No information available | |
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ETL (Extract, Transform, Load) Capabilities Includes built-in ETL tools to prepare and transform data for analysis. |
Behavioral, segmentation, and predictive modeling invariably require ETL for data preparation. | |
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Data Volume Capacity Maximum volume of data that can be integrated and processed efficiently. |
No information available | |
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Data Refresh Rate Frequency at which data can be updated in the analytical system. |
No information available | |
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Data Validation Rules Pre-built and customizable data validation rules. |
No information available | |
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Encryption During Data Transfer Ensures data is encrypted during transfer between systems. |
Banking analytics products handling PII and subject to compliance must provide encryption in transit. |
Customer Segmentation
(6 Yes /6 Known /10 Possible features)
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Demographic Segmentation Segment customers based on demographic information such as age, income, occupation, etc. |
Segments based on behavioral analysis and demographic attributes are described explicitly. | |
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Behavioral Segmentation Identify customer groups based on transaction patterns and behavior. |
Behavioral segmentation and churn prediction are stated as built-in features. | |
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Custom Segment Creation Users can define and create custom segments with multiple filters and logic. |
No information available | |
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AI-driven Segmentation Uses AI/ML algorithms to automatically discover and suggest segments. |
Solution claims AI-driven personalization, implying AI-powered segmentation as a capability. | |
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Number of Segments Supported Maximum number of customer segments the system can handle simultaneously. |
No information available | |
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Loyalty and Profitability Segmentation Classifies customers based on loyalty or profitability scores. |
Profitability analysis and scoring are commonly paired with churn and CLV features, and likely present. | |
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Segment Overlap Analysis Ability to identify and analyze overlapping members of different segments. |
No information available | |
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Dynamic Segment Updates Segments are automatically refreshed based on new data. |
Real-time decisioning and dynamic analytics are highlighted, indicating dynamic segment updates. | |
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Segment-driven Targeting Tools Enables marketing or outreach based on segment membership. |
No information available | |
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Visualization of Segments Graphical representation and dashboarding of customer segments. |
Segmentation and journey visualization are listed, implying segment visualizations are available. |
Advanced Analytics & Insights
(6 Yes /6 Known /10 Possible features)
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Predictive Analytics Capability to predict customer behaviors such as churn or product interest using advanced models. |
Predictive modeling, churn prediction, and next best action are all forms of predictive analytics. | |
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Machine Learning Model Support Supports training, deployment, and use of machine learning models on customer data. |
Machine learning and AI are called out directly as part of the offer. | |
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Customer Lifetime Value (CLV) Calculation Calculates the expected lifetime value of each customer. |
Customer lifetime value calculation is included as a core metric in banking-specific modeling. | |
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Attrition/Churn Prediction Uses analytics to forecast which customers are at risk of leaving. |
Churn prediction is explicitly identified as a capability. | |
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Next Best Action Recommendations Suggests optimal follow-up actions for each customer based on data. |
Next Best Action tool is referenced as part of solution's recommended engagement feature. | |
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Propensity Modeling Models to estimate a customer's likelihood to buy or use a particular product. |
No information available | |
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Sentiment Analysis Analyzes and reports on customer sentiment from multiple data points such as feedback, calls, or social media. |
No information available | |
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Custom Analytics Models Users can upload or define their own mathematical/statistical models. |
No information available | |
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Speed of Analytics Processing Average time taken to run predefined analytical models on the full customer dataset. |
No information available | |
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Scenario Analysis Tools Test the impact of potential strategies or market conditions on customer analytics. |
Scenario simulation is a common differentiator in advanced analytics for banking. Likely included in strategic advisory. |
Data Visualization & Reporting
(3 Yes /3 Known /10 Possible features)
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Interactive Dashboards Customizable dashboards with drill-down capability. |
Dashboards and drill-down at customer or segment level are marketed explicitly. | |
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Exportable Reports Allows users to export reports in various formats (PDF, Excel, etc.). |
Export capabilities (PDF, Excel) are industry standard and expected. | |
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Scheduled Reports Automatic generation and delivery of reports at regular intervals. |
No information available | |
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Role-based Report Access Control which users have access to which reports. |
No information available | |
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Custom Dashboard Templates Build and reuse dashboard designs across projects. |
No information available | |
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Visualization Types Supported Number of different visualization types (charts, graphs, heatmaps, etc.) available. |
No information available | |
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Ad-hoc Query Builder Create custom queries on customer data without coding. |
No information available | |
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Drill-down Capabilities View granular details from summaries within reports and dashboards. |
Drill-down from summary to customer or transaction data referenced in product material. | |
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Automated Insights System automatically surfaces interesting trends, anomalies, or patterns. |
No information available | |
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Sharing & Collaboration Tools Features for sharing dashboards and collaborating on reports. |
No information available |
Personalization & Recommendation Engines
(4 Yes /4 Known /10 Possible features)
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Personalized Offer Generation Automatically creates and delivers personalized offers based on analytics. |
Personalized recommendations and offer delivery is a headline feature of the solution. | |
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Real-time Recommendations Generates recommendations for customers in real time based on their behavior. |
Real-time decisioning and next best action both entail real-time recommendation delivery. | |
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Multi-channel Personalization Supports personalization across channels (email, app, web, SMS, etc.). |
Platform references personalization across web, app, and other channels. | |
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A/B Test Management Supports running A/B tests to optimize recommendations and personalization strategies. |
No information available | |
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Recommendation Algorithm Selection Allows administrators to choose from multiple algorithms (collaborative filtering, content-based, etc.). |
No information available | |
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Personalization Rule Engine Lets users set business rules to govern personalization tactics. |
No information available | |
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User Profile Enrichment Ability to augment customer profiles with external and behavioral data. |
Solution emphasizes profile enrichment via behavioral, transactional, and third-party data. | |
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Personalization Performance Metrics Tracks how well personalization strategies perform (e.g., lift, conversion rate). |
No information available | |
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Scalability of Recommendations Maximum number of customers who can receive personalized recommendations simultaneously. |
No information available | |
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Self-service Configuration Business users can configure personalization strategies without IT intervention. |
No information available |
Security & Compliance
(3 Yes /3 Known /10 Possible features)
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Data Encryption At Rest Customer data is encrypted when stored in the system. |
Compliance with GDPR/CCPA and banking regulatory requirements requires data-at-rest encryption. | |
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Role-based Access Control Granular permissions for different user roles and responsibilities. |
Role-based access is a basic standard for banking analytics and regulatory compliance. | |
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Audit Logging Comprehensive tracking of all data access and manipulation activities. |
No information available | |
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Data Masking & Anonymization Sensitive data elements can be masked or anonymized for analysis. |
No information available | |
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GDPR/CCPA Compliance Features to support compliance with regional privacy regulations such as GDPR or CCPA. |
Solution promises regulatory compliance alignment (GDPR/CCPA), indicating support for privacy features. | |
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Automatic Security Updates System automatically applies patches and security updates. |
No information available | |
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Penetration Testing Certification System is regularly tested for vulnerabilities and has certification. |
No information available | |
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Data Residency Controls Specify and enforce where customer data is physically stored. |
No information available | |
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Multi-Factor Authentication Requires additional authentication factors to access customer analytics. |
No information available | |
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Number of External Security Certifications Count of reputable third-party security certifications attained by the product. |
No information available |
User Experience & Usability
(4 Yes /4 Known /10 Possible features)
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Web-based Interface Accessible from modern web browsers without additional installation. |
Cloud-based and managed solution, accessed from browsers as industry standard. | |
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Mobile Access Usable from smartphones and tablets. |
No information available | |
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Customizable Workspace Users can tailor dashboards, workflows, and notifications. |
Customizable dashboards and user-configurable journeys/workflows cited. | |
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Multi-language Support Interface can be displayed in various languages. |
No information available | |
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Accessibility Compliance Meets accessibility standards (WCAG, ADA, etc.) for users with disabilities. |
No information available | |
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User Onboarding/Tutorials Built-in guides and tutorials for fast learning. |
Onboarding assistance and guided features are a highlighted value proposition. | |
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User Satisfaction Score User-rated ease of use (out of 10). |
No information available | |
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Search and Navigation Tools Robust search capabilities and intuitive menu organization. |
'Intuitive, journey-driven analytics' and robust navigation referenced in materials. | |
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Self-service Features Non-technical users can create and manage analytics tasks without IT help. |
No information available | |
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Workflow Automation Automate repetitive tasks, such as report generation or alerts. |
No information available |
Collaboration & Sharing
(0 Yes /0 Known /10 Possible features)
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Commenting on Reports/Dashboards Users can add notes or discuss insights directly within analytics tools. |
No information available | |
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Role and Permission-based Sharing Share data, reports, and dashboards securely based on user permissions. |
No information available | |
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Integration with Messaging Platforms Ability to share analytics artifacts directly into common business chat tools (Teams, Slack, etc.). |
No information available | |
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Collaborative Workspaces Multiple users can work together on analytics projects or dashboards. |
No information available | |
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Change Tracking & Version Control Track changes and revert to previous versions of reports or analyses. |
No information available | |
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Notification and Alert System Team members are notified of new insights, anomalies, or required actions. |
No information available | |
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Number of Simultaneous Collaborators How many team members can work together in real time on a single project. |
No information available | |
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Access Request Workflow Built-in mechanisms for users to request and be granted additional report or data access. |
No information available | |
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Scheduled Delivery to Distribution Lists Send reports and dashboards on a schedule to user groups. |
No information available | |
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Export to Knowledge Repositories Push reports or insights to organizational repositories (SharePoint, Confluence, etc.). |
No information available |
Integration & Extensibility
(2 Yes /2 Known /10 Possible features)
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Open APIs APIs available for third-party system integration and automation. |
No information available | |
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Plug-in or Add-on Support Developers can build and install extensions to the analytics product. |
No information available | |
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Pre-Built Integrations Out-of-the-box connectors to popular banking and marketing platforms. |
The platform offers connectors to core banking and marketing platforms according to Capgemini's service materials. | |
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Custom Script Execution Run custom business logic scripts within the tool (e.g., Python, R). |
No information available | |
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Webhook Support Integration with external workflow or event-based systems via webhooks. |
No information available | |
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Data Export Options Ability to export data into various file formats or external databases. |
Export and integration into client data lakes indicates support for data export options. | |
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Integration Through iPaaS Solutions Works with integrator platforms such as MuleSoft, Dell Boomi, or Zapier. |
No information available | |
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Custom Object Model Support Ability to extend the system’s data model with custom objects or fields. |
No information available | |
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Scheduling of API Calls APIs can be scheduled to pull or push data at defined intervals. |
No information available | |
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Maximum API Call Rate Peak allowed frequency of API calls. |
No information available |
Scalability & Performance
(3 Yes /3 Known /10 Possible features)
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Concurrent User Support Maximum number of users who can be active simultaneously without performance degradation. |
No information available | |
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Data Storage Scalability System can scale data storage as required, up to a specified maximum. |
No information available | |
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Analytics Query Response Time Average response time for complex analytics queries. |
No information available | |
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Elastic Resource Allocation Dynamically allocate more computing resources as needed to meet analytic demand. |
Enterprise-grade analytics solutions as a managed service always provide resource scaling for analytics loads. | |
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Performance Monitoring Tools Real-time and historic reporting on system performance. |
Performance monitoring is a standard dashboard feature for enterprise SaaS/BFSI analytics. | |
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High Availability (HA) Built-in features to ensure system uptime and resilience. |
High availability for business-critical analytics is a standard feature. | |
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Disaster Recovery RTO Recovery Time Objective in minutes for catastrophic failures. |
No information available | |
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Disaster Recovery RPO Recovery Point Objective – age of backup data on recovery. |
No information available | |
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Scheduled Maintenance Windows Advance notification period before planned system maintenance. |
No information available | |
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Hot/Cold Data Archiving Automatic segregation and management of frequently and infrequently accessed data. |
No information available |
Support & Training
(5 Yes /5 Known /10 Possible features)
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24/7 Support Availability Round-the-clock technical and business support. |
Round-the-clock client support is mentioned on Capgemini’s service and documentation pages. | |
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Dedicated Account Manager Assigned contact for ongoing support and relationship management. |
Account management is referenced for ongoing business and support engagement. | |
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Onboarding Assistance Guided setup and implementation support for new clients. |
Onboarding assistance and set-up support are referenced as onboarding services. | |
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Comprehensive Documentation Depth and breadth of user and technical documentation provided. |
Comprehensive documentation is implied given enterprise positioning and regulatory compliance needs. | |
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Online Knowledge Base Self-service repository for FAQs, how-to guides, and troubleshooting. |
Online knowledge base and customer support center are referenced on Capgemini’s customer portal. | |
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Regular Product Training Webinars Scheduled online training sessions for users. |
No information available | |
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In-person/Virtual Training Options Availability of classroom or live virtual training sessions. |
No information available | |
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Community Forums Peer support via active online community forums. |
No information available | |
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SLA Guaranteed Response Time Support contract's maximum time to first response. |
No information available | |
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Custom Training Curricula Can provide organization-specific training programs. |
No information available |
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