MECBot for Banking

Augmented Data Management at Scale for Sustained Profitable Growth

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Banking Firms cannot deliver on their ‘Personalization Promise’ for Customers

0 %

Banks have effectively matched  their analytics efforts with their  business goals

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Banking institutions are prepared  to take the right steps towards  becoming customer centric

MECBot Analyzes

Customer Behaviour

Credit & Debit

Bank Interactions

Channel Usage

Spending Patterns

Fraudulent Activities

Intelligent Banking with MECBot

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MECBot Unifies Structured & Unstructured Banking Data for your Competitive Advantage

Utilizing Product & Market Data as a Strategic Asset

Pre-built ML Models & Smart Insight Grid

  • Need-Based Product Development Based on Market Trend
  • Recommendation Engine for Next-to-Buy  Products for Customer Segments
  • Targeted, Optimized, Trigger-Based Cross- sell & Up-sell Campaigns

Strategic Value Creation from Customer Data

360Customer View &  Intelligent Segmentation

  • Demographics, Lifecycle & Credit Rating
  • Transaction Patterns & Modes of Interaction
  • Social Media Listening & Sentiment Analysis

Leverage the ‘User Revolution’ in Banking with MECBot’s Purpose-Built Analytics Models

Ensure Solvency with MECBot’s Expert Risk Modelling on Banking Data in Real Time

Predict and Detect Exposure to Market Risk

Intelligent Pattern Recognition
for Fraud Detection & AML

  • Manage Portfolio Risk, Liquidity Coverage & Long Term Solvency
  • Safeguard Capital Adequacy & Credit Risk
  • Manage and streamline eKYC, combat Fraud & AML
  • Predict and Detect Exposure to Market Risk

 

Last Mile Integration of Banking Data & Analytics in Enterprise Workflow

Case Study

nielsen
FIS
ESPN CRICINFO
Monster Jobs
cloudera

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