Previous Next 0 % Banking Firms cannot deliver on their ‘Personalization Promise’ for Customers 0 % Banks have effectively matched their analytics efforts with their business goals 0 % 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 Play Video MECBot Unifies Structured & Unstructured Banking Data for your Competitive Advantage Utilizing Product & Market Data as a Strategic Asset Pre-built ML Models & Smart Insight GridNeed-Based Product Development Based on Market TrendRecommendation Engine for Next-to-Buy Products for Customer SegmentsTargeted, Optimized, Trigger-Based Cross- sell & Up-sell Campaigns Strategic Value Creation from Customer Data 360o Customer View & Intelligent SegmentationDemographics, Lifecycle & Credit RatingTransaction Patterns & Modes of InteractionSocial 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 Recognitionfor Fraud Detection & AMLManage Portfolio Risk, Liquidity Coverage & Long Term SolvencySafeguard Capital Adequacy & Credit RiskManage and streamline eKYC, combat Fraud & AMLPredict and Detect Exposure to Market Risk Last Mile Integration of Banking Data & Analytics in Enterprise Workflow Case Study Customers & Partners Insights DOWNLOAD USE CASE TweetPinShareShare0 Shares