Brillio Data & Analytics

Slides:



Advertisements
Similar presentations
Copyright © 2012, SAS Institute Inc. All rights reserved. SAS CUSTOMER INTELLIGENCE SOLUTION BRIEFING SAS MARKETING OPTIMIZATION AND SAS ADAPTIVE CUSTOMER.
Advertisements

© 2013 IBM Corporation October 4, 2013 IT Analytics and Big Data IBM Solutions Paul Smith (Smitty) Service Management Architect.
0 © Copyright GSTAT LTD Enhancing Microsoft CRM with Real-Time Analytical Capabilities “ GSTAT – Advanced Data Mining Solutions” in corporation with.
Making Small Business Finance Profitable Peer Stein, Banking Advisory Group December 4, 2002 Key Lessons Learned about Applying New Technologies to SME.
© 2011 IBM Corporation Smarter Software for a Smarter Planet The Capabilities of IBM Software Borislav Borissov SWG Manager, IBM.
Financial Innovation Shahid Yusuf DRG World Bank September 22, 2006.
1.Knowledge management 2.Online analytical processing 3. 4.Supply chain management 5.Data mining Which of the following is not a major application.
Copyright © 2003, SAS Institute Inc. All rights reserved. Company confidential - for internal use only 1 Know Your Customers SAS® Banking Intelligence.
E-BANKING E-banking is defined as the automated delivery of new and traditional banking products and services directly to customers through electronic,
If BIG DATA is the answer, then what was the question?
© 2009 IBM Corporation Smarter Decisions for Optimized Performance IBM Global Executive Forum Panel Discussion Business Analytics and Optimization Fred.
CISC 849 : Applications in Fintech Namami Shukla Dept of Computer & Information Sciences University of Delaware iCARE : A Framework for Big Data Based.
Impact Research 1 Enabling Decision Making Through Business Intelligence: Preview of Report.
A Smarter Approach to Contact Center and Enterprise Performance Yoel Goldenberg VP Contact Center and Enterprise Solutions, NICE.
Microsoft Dynamics CRM Jeanett Heller Product Marketing Manager, Dynamics Microsoft Danmark.
Banking Services Solutions. Solutions and Services  Technology enabled business solutions and services to help in growth of Banking services.  Dynamic.
NEXT GENERATION Banking Software Solutions. Next Generation Banking Platform Next generation banking platform is the result of : Collective knowledge.
What we mean by Big Data and Advanced Analytics
SAP Process Mining by Celonis
Business Intelligence & Analytics
NEWGEN SOFTWARE TECHNOLOGIES INC.
Introduction to Gartner Inc.
AuraPortal Cloud Helps Empower Organizations to Organize and Control Their Business Processes via Applications on the Microsoft Azure Cloud Platform MICROSOFT.
The Smart Way to cut 30% SMS Marketing Cost
INSURANCE ANALYTICS SUITE
The Foundation for your Future
Brand Research at Scale
Hybrid Management and Security
Presentation For.
The Internet of Things (IoT) and Analytics
Technology & Analytics
Carl Holmes Christy Lee
Insurance Fraud Analytics in the Cloud with Saama and Microsoft Azure
Insights driven Customer Experience
Sonoma Partners – Accounting Overview
Sonoma Partners – Accounting Overview
What Does a Payment Provider Provide?
Accelerating intelligent automation for competitive advantage
© 2016 Global Market Insights, Inc. USA. All Rights Reserved Artificial Intelligence in BFSI Market to reach $25 bn by 2024: Global.
Wes Rihani, MBA ADP – Global Payroll Product Leader October 23, 2018
Big Data For Indian SMEs
Voice Analytics on Microsoft Azure Allows Various Customers to Get the Most Out of Conversations with Clients Through Efficient Content Analysis MICROSOFT.
Utilizing the Capabilities of Microsoft Azure, Skipper Offers a Results-Based Platform That Helps Digital Advertisers with the Marketing of Their Mobile.
Nlyte for Colocation Providers
Order-to-Cash (Project-Based Services) Scenario Overview
Automating Profitable Growth™
Supporting End-User Access
Building assortments has never been so complex
Enterprise Resource Planning
FileFacets Information Governance Solution Performs High-Quality Automated Enterprise Content Management Migration, Built on Azure MICROSOFT AZURE APP.
Leading a Change in Digital Customer Engagement Executive Summary
A modern platform for Corporate Performance Management
Electronic Services from a School's Perspective PESC Annual Conference on Standards in Higher Education Judith Nemerovski Flink Director of Student Financial.
Order-to-Cash (Project-Based Services) Scenario Overview
SAP UEM by Knoa Measure What You Manage Introduction
Enterprise Productivity – HCL Proposition
Committed to delivering winning solutions
Enterprise Productivity – HCL Proposition
ENTERPRISE MARKETING & CUSTOMER EXPERIENCE SOLUTIONS
KEY INITIATIVE Financial Data and Analytics
Analytics, BI & Data Integration
KEY INITIATIVE Financial Data and Analytics
Capabilities Enabled.
Built on the Powerful Azure Platform, Angoss Helps Businesses Turn Data into Actionable Insights That Reduce Risk, Increase Organizational Performance.
What's New in eCognition 9
Technological Changes
The Intelligent Enterprise and SAP Business One
Fall Midwest IASA Conference
Dynamics 365 Customer Insights
Presentation transcript:

Brillio Data & Analytics An Introduction September 2016

We Are A Global Analytics Firm Implementing Disruptive Solutions Aided By Digital Transformation & Technology Innovation Partnership with UCLA 2

Our Analytics Spectrum of Operation Causal Influence Paths Detection in Customer Networks Dynamic Customer Relationship Management  Business-Customer-Vendor Networks Transaction Data Mapped to Social Chatter Fraud Detection AML & Alternate Payment Methods GRAPH DATA Actionable Insights from Non Traditional Voice of Customer  Topic Mining for Unstructured data Visual Analytics Speech to Text DEEP LEARNING Industry Focused Point Solutions Continuous Risk Scoring Collections – Treatment Optimization & Settlements Reject Inference Driven Underwriting Omni-channel Attribution & Market Mix ADAPTIVE ANALYTICS Cross technology Big Data Toolkit DATA ENGINEERING INNOVATION Real-Time Next Best offer recommendation (PySpark, Kafka) Real -Time generative models and calibrations (Flume, Kafka, Hbase, Hive) Real -Time Model deployment (PMML based) Accelerators for Faster Migration Report Migration  Legacy SAS/BO to MicroStrategy, PowerBI, Tableau etc. New Age Visualization using D3.js KPI Establishment & Standardization PROCESS AUDIT & KPI EXPANSION 3

ADAPTIVE ANALYTICS SOLUTION Sample Use Case: ADAPTIVE ANALYTICS SOLUTION Problem Statement: Grow fees by increasing share of wallet from small-medium tier Corporate clients Key KPIs: Customer Next best Offer by proactively understanding their needs Smarter workflow solutions Product covered: Cash Management Some of the key Challenges: Siloed data across sales, operations and servicing groups Lack of consolidated Business rules Ability to translate business knowledge into machine learning based advanced models Inability to quickly test and learn on models like propensity scores or dynamic customer clustering High cycle time to test champion-challenger models

ADAPTIVE ANALYTICS SOLUTION Solution Approach: Brillio’s Adaptive Analytics Solution enabled: Real-time data integration Creation of advanced machine learning algorithms Business rules management Test & learn environment Real time model deployment, and Automated & interactive dashboards Accelerated development and higher accuracy of Customer Next Best Offer Scoring Data Mart for a single source of data for all Analytics needs Business friendly UI for testing and model management Faster implementation of statistical models Flexibility to create new business rules Highly modular, can be easily customized “What-if” simulation capability Ability to monitor and track business decisions at regular intervals Consolidated view of business KPIs

ADAPTIVE ANALYTICS SOLUTION ENABLED FASTER INTEGRATION OF REAL TIME STREAMING & BATCH DATA ACROSS SOURCES TO LOOK FOR SIGNALS Business & CRM Data Service Data Transaction Data Firm Details Industry Business Type, Yrs in B/S Type of Ownership Geographies supported Processing Volume Product/Service Offerings Number of Employees Size, Market Share Growth, revenue, Income Sales Info, Campaign Call Center logs Customer feedback transcripts Clickstream data from own website Transcripts of customer interviews # of employees or vendors payments? Customers pay b/s via check, credit card, electronic transfer, or in cash? Any deposits after banking hours? Need a lot of change or small bills? Fee Structure charged – overage etc. and why? Deposit Frequency? What’s driving the cost of cash- Interest, insurance, transportation, processing and handling costs What are the patterns w.r.t wires, ACH etc., and regions ILLUSTRATIVE

ADAPTIVE ANALYTICS SOLUTION CONSOLIDATED RULES ENGINE & MACHINE LEARNING BASED MODELS Business users can define, set up, manage and simulate rules for more accurate Model Development Example: How much cash in the form of customer payments, interest earnings, service fees, partial collections of bad debts, and other sources gets in, and when? Impact of these variations Metrics at each step of the process can be measured and monitored with improved transparency Model Repository & Real-time model execution Built Highly flexible yet powerful Bayesian network Pattern Recognition & Graph Based Machine Learning (GMBL) uncovers causal influences between various factors Model version control for scenario analysis Easy to define / modify business rules Business user friendly 7

ADAPTIVE ANALYTICS SOLUTION Execution output feeding into the Visualization layer for effective Decision Making Tool for Bankers to understand Customer’s Real – Time Cash Flow needs: Pattern recognition based Payment Optimization Analyzer E.g. Potential need for ACH debit block based on the past incorrect debits Potential savings for the businesses by moving to ACH transactions from checks Amount/Location/Vendor based Wire Optimizer Vendor/Supplier segmentation view based on the payments Automated Business rules based alerts & workflow for Outliers Illustrative Illustrative 8

Thank You