Visionet’s RM Workbench is built on a comprehensive banking data platform powered by 10+ industry leading predictable data science models. The tool is designed to provide insights based on customer spend patterns and behavior without much of IT intervention. Also, insights on customer’s preferred mode of communication channels enable relationship managers to enhance customer experience.
Single & unique view of banking customer bringing data from core banking, social, CRM and service request data sources
Next Best Action (NBA) features reduces probability of customer churn by proactive customer expereince management
Next Best Offer (NBO) helps provide accurate advices to RM for personalized campaigns
Role based access to dashboard with data visualizations for different hierarchy of management with drill down options
18 Strong Industry Leading Predictable Models
10+ Retail Banking KPI’s Prebuilt in the Platform
3 Different Levels Dashboards Based on Role Hierarchy & Access Points
35+ Customer Insights Helping
RMs to Act Upon
Data Source Unification and Analytics Platform Deployment
Cross Selling / Up Selling Insights
Single Customer View
Customer Segmentation based on Purchase Behavior
RM/BM Custom Dashboards for Smart Decision Making with Real Time KPI Coverage
Hyper Personalize the Customer Journey with Scientifically Validated Insights
KPI Coverage
CLTV (CLV/CAC Ratio)
Customer Segmentation
Churn Rate
Referral Propensity
Return of Assets
Net Promoter Score
Cross/Up Selling
Channel Usage
Next Best Offer
Next Best Action
KPI Orchestration
Choose most relevant KPI from a bouquet of pluggable KPIs
Dashboard Management
Customizable dashboards for specific banking use cases
Role Based Access
Distinctive role-based access for various levels of business management hierarchy
API Integrable
Easily integrable with CRM, lending platform, Core Banking Solutions, etc
Business Benefits
Customer Success Story: RM Workbench for a US Bank
Project Objectives
The initiative was for creating real-time customer 360 predictive insight for a retail bank to understand the predictive CLTV of the customer.
Key Challenges
Creation of a tool to calculate the real-time CLTV for the relation managers to act on increasing the revenue generation by increasing the customer lifetime value
Tool to suggest the relationship managers the next best offer and the next best action for a customer using the CLTV and his product preferences
Enable branch manager to have 360-Degree view of the customer and his portfolio
Our Solution
Creation of dashboard-based malleable analyses with various data visualization tools can be leveraged at different levels of management, with ability to manage a task-driven sales force using role-based access
Creating portfolio’s performance indicators, acquisition costs and customer profitability margin, put in context with calculating the lifetime value and historic trends along with LTV to acquisition cost for a comprehensive experience
Customer Benefits
Increased engagement of employees with customer centric activities to increase their profitability
Direct guidelines and steps to be taken by the relationship managers are automatically generated which may need further improvisation
The amount of business/IT iterations was reduced through process-oriented thinking
Overall a new level of business agility was reached while at the same time cost reductions were realized
