a>
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.
Solutions for analyzing customer data to gain insights into behavior, preferences, and opportunities for engagement.
More Customer Analytics
More Analytics and Business Intelligence ...
|
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. | |
|
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. | |
|
Batch Data Processing Support for larger scheduled imports of data sets. |
Banking analytics platforms almost universally include support for batch processing of large datasets. | |
|
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. | |
|
Automated Data Quality Checks System can automatically detect duplicates and errors in imported data. |
No information available | |
|
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. | |
|
Data Volume Capacity Maximum volume of data that can be integrated and processed efficiently. |
No information available | |
|
Data Refresh Rate Frequency at which data can be updated in the analytical system. |
No information available | |
|
Data Validation Rules Pre-built and customizable data validation rules. |
No information available | |
|
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. |
|
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. | |
|
Behavioral Segmentation Identify customer groups based on transaction patterns and behavior. |
Behavioral segmentation and churn prediction are stated as built-in features. | |
|
Custom Segment Creation Users can define and create custom segments with multiple filters and logic. |
No information available | |
|
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. | |
|
Number of Segments Supported Maximum number of customer segments the system can handle simultaneously. |
No information available | |
|
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. | |
|
Segment Overlap Analysis Ability to identify and analyze overlapping members of different segments. |
No information available | |
|
Dynamic Segment Updates Segments are automatically refreshed based on new data. |
Real-time decisioning and dynamic analytics are highlighted, indicating dynamic segment updates. | |
|
Segment-driven Targeting Tools Enables marketing or outreach based on segment membership. |
No information available | |
|
Visualization of Segments Graphical representation and dashboarding of customer segments. |
Segmentation and journey visualization are listed, implying segment visualizations are available. |
|
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. | |
|
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. | |
|
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. | |
|
Attrition/Churn Prediction Uses analytics to forecast which customers are at risk of leaving. |
Churn prediction is explicitly identified as a capability. | |
|
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. | |
|
Propensity Modeling Models to estimate a customer's likelihood to buy or use a particular product. |
No information available | |
|
Sentiment Analysis Analyzes and reports on customer sentiment from multiple data points such as feedback, calls, or social media. |
No information available | |
|
Custom Analytics Models Users can upload or define their own mathematical/statistical models. |
No information available | |
|
Speed of Analytics Processing Average time taken to run predefined analytical models on the full customer dataset. |
No information available | |
|
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. |
|
Interactive Dashboards Customizable dashboards with drill-down capability. |
Dashboards and drill-down at customer or segment level are marketed explicitly. | |
|
Exportable Reports Allows users to export reports in various formats (PDF, Excel, etc.). |
Export capabilities (PDF, Excel) are industry standard and expected. | |
|
Scheduled Reports Automatic generation and delivery of reports at regular intervals. |
No information available | |
|
Role-based Report Access Control which users have access to which reports. |
No information available | |
|
Custom Dashboard Templates Build and reuse dashboard designs across projects. |
No information available | |
|
Visualization Types Supported Number of different visualization types (charts, graphs, heatmaps, etc.) available. |
No information available | |
|
Ad-hoc Query Builder Create custom queries on customer data without coding. |
No information available | |
|
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. | |
|
Automated Insights System automatically surfaces interesting trends, anomalies, or patterns. |
No information available | |
|
Sharing & Collaboration Tools Features for sharing dashboards and collaborating on reports. |
No information available |
|
Personalized Offer Generation Automatically creates and delivers personalized offers based on analytics. |
Personalized recommendations and offer delivery is a headline feature of the solution. | |
|
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. | |
|
Multi-channel Personalization Supports personalization across channels (email, app, web, SMS, etc.). |
Platform references personalization across web, app, and other channels. | |
|
A/B Test Management Supports running A/B tests to optimize recommendations and personalization strategies. |
No information available | |
|
Recommendation Algorithm Selection Allows administrators to choose from multiple algorithms (collaborative filtering, content-based, etc.). |
No information available | |
|
Personalization Rule Engine Lets users set business rules to govern personalization tactics. |
No information available | |
|
User Profile Enrichment Ability to augment customer profiles with external and behavioral data. |
Solution emphasizes profile enrichment via behavioral, transactional, and third-party data. | |
|
Personalization Performance Metrics Tracks how well personalization strategies perform (e.g., lift, conversion rate). |
No information available | |
|
Scalability of Recommendations Maximum number of customers who can receive personalized recommendations simultaneously. |
No information available | |
|
Self-service Configuration Business users can configure personalization strategies without IT intervention. |
No information available |
|
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. | |
|
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. | |
|
Audit Logging Comprehensive tracking of all data access and manipulation activities. |
No information available | |
|
Data Masking & Anonymization Sensitive data elements can be masked or anonymized for analysis. |
No information available | |
|
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. | |
|
Automatic Security Updates System automatically applies patches and security updates. |
No information available | |
|
Penetration Testing Certification System is regularly tested for vulnerabilities and has certification. |
No information available | |
|
Data Residency Controls Specify and enforce where customer data is physically stored. |
No information available | |
|
Multi-Factor Authentication Requires additional authentication factors to access customer analytics. |
No information available | |
|
Number of External Security Certifications Count of reputable third-party security certifications attained by the product. |
No information available |
|
Web-based Interface Accessible from modern web browsers without additional installation. |
Cloud-based and managed solution, accessed from browsers as industry standard. | |
|
Mobile Access Usable from smartphones and tablets. |
No information available | |
|
Customizable Workspace Users can tailor dashboards, workflows, and notifications. |
Customizable dashboards and user-configurable journeys/workflows cited. | |
|
Multi-language Support Interface can be displayed in various languages. |
No information available | |
|
Accessibility Compliance Meets accessibility standards (WCAG, ADA, etc.) for users with disabilities. |
No information available | |
|
User Onboarding/Tutorials Built-in guides and tutorials for fast learning. |
Onboarding assistance and guided features are a highlighted value proposition. | |
|
User Satisfaction Score User-rated ease of use (out of 10). |
No information available | |
|
Search and Navigation Tools Robust search capabilities and intuitive menu organization. |
'Intuitive, journey-driven analytics' and robust navigation referenced in materials. | |
|
Self-service Features Non-technical users can create and manage analytics tasks without IT help. |
No information available | |
|
Workflow Automation Automate repetitive tasks, such as report generation or alerts. |
No information available |
|
Commenting on Reports/Dashboards Users can add notes or discuss insights directly within analytics tools. |
No information available | |
|
Role and Permission-based Sharing Share data, reports, and dashboards securely based on user permissions. |
No information available | |
|
Integration with Messaging Platforms Ability to share analytics artifacts directly into common business chat tools (Teams, Slack, etc.). |
No information available | |
|
Collaborative Workspaces Multiple users can work together on analytics projects or dashboards. |
No information available | |
|
Change Tracking & Version Control Track changes and revert to previous versions of reports or analyses. |
No information available | |
|
Notification and Alert System Team members are notified of new insights, anomalies, or required actions. |
No information available | |
|
Number of Simultaneous Collaborators How many team members can work together in real time on a single project. |
No information available | |
|
Access Request Workflow Built-in mechanisms for users to request and be granted additional report or data access. |
No information available | |
|
Scheduled Delivery to Distribution Lists Send reports and dashboards on a schedule to user groups. |
No information available | |
|
Export to Knowledge Repositories Push reports or insights to organizational repositories (SharePoint, Confluence, etc.). |
No information available |
|
Open APIs APIs available for third-party system integration and automation. |
No information available | |
|
Plug-in or Add-on Support Developers can build and install extensions to the analytics product. |
No information available | |
|
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. | |
|
Custom Script Execution Run custom business logic scripts within the tool (e.g., Python, R). |
No information available | |
|
Webhook Support Integration with external workflow or event-based systems via webhooks. |
No information available | |
|
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. | |
|
Integration Through iPaaS Solutions Works with integrator platforms such as MuleSoft, Dell Boomi, or Zapier. |
No information available | |
|
Custom Object Model Support Ability to extend the system’s data model with custom objects or fields. |
No information available | |
|
Scheduling of API Calls APIs can be scheduled to pull or push data at defined intervals. |
No information available | |
|
Maximum API Call Rate Peak allowed frequency of API calls. |
No information available |
|
Concurrent User Support Maximum number of users who can be active simultaneously without performance degradation. |
No information available | |
|
Data Storage Scalability System can scale data storage as required, up to a specified maximum. |
No information available | |
|
Analytics Query Response Time Average response time for complex analytics queries. |
No information available | |
|
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. | |
|
Performance Monitoring Tools Real-time and historic reporting on system performance. |
Performance monitoring is a standard dashboard feature for enterprise SaaS/BFSI analytics. | |
|
High Availability (HA) Built-in features to ensure system uptime and resilience. |
High availability for business-critical analytics is a standard feature. | |
|
Disaster Recovery RTO Recovery Time Objective in minutes for catastrophic failures. |
No information available | |
|
Disaster Recovery RPO Recovery Point Objective – age of backup data on recovery. |
No information available | |
|
Scheduled Maintenance Windows Advance notification period before planned system maintenance. |
No information available | |
|
Hot/Cold Data Archiving Automatic segregation and management of frequently and infrequently accessed data. |
No information available |
|
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. | |
|
Dedicated Account Manager Assigned contact for ongoing support and relationship management. |
Account management is referenced for ongoing business and support engagement. | |
|
Onboarding Assistance Guided setup and implementation support for new clients. |
Onboarding assistance and set-up support are referenced as onboarding services. | |
|
Comprehensive Documentation Depth and breadth of user and technical documentation provided. |
Comprehensive documentation is implied given enterprise positioning and regulatory compliance needs. | |
|
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. | |
|
Regular Product Training Webinars Scheduled online training sessions for users. |
No information available | |
|
In-person/Virtual Training Options Availability of classroom or live virtual training sessions. |
No information available | |
|
Community Forums Peer support via active online community forums. |
No information available | |
|
SLA Guaranteed Response Time Support contract's maximum time to first response. |
No information available | |
|
Custom Training Curricula Can provide organization-specific training programs. |
No information available |
This data was generated by an AI system. Please check
with the supplier. While you are talking to them, remind them that they need
to update their entry.