The document describes MOND, an agile data integration platform that can rapidly integrate data from various systems without complex field mapping. It provides a conceptual diagram of MOND's components and capabilities. It then discusses challenges with traditional ETL approaches and how MOND addresses these through semantic mapping and robotic process automation. Metrics are presented on MOND's throughput, implementations, and partners migrated from other vendors.

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the pulse of Intelligent business transformation

2. MOND Insurance Data Hub Conceptual Diagram
2
B2B
Portal
Services Integration Dashboard
Policy
System(s)
Claims
System(s)
Reinsurance
System
Accounting
System
B2C
Portal
CRM
System
Fraud Detection
System
Reports Module
BI & Analytics Module
Data Marts
Data Warehouse
Operational Data
Store
Third Party
Services
Payment
Gateways
Regulatory
Authorities
Integration Hub
APIs
Cubes
Cubes
Data Hub
Analytics Dashboard
Reports Repository
Legend
MOND can be installed
On-Premise or on
AWS/Azure etc.

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Challenges: Implementing an Agile Insurance Data Hub
How can we get Data from/to
1. Oracle
2. SQLServer
3. IBM DB2
4. SalesForce
5. CSV, XML, or any format
WITHOUT FIELD-to-FIELD MAPPING?

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Challenges with traditional approach….
• Analysts have to first document this.
• Developers then build this.
• Complexity increases as number of
fields in the source increases (ex: 400+
source columns to 400+ target
columns)
• Business rules for some fields
• Same target, but from previous version
of source (3+ years data) requires
remapping.
• Different types of source(XLS, CSV,
Positional, DB)
• Error Handling
• Job Logging
• Scheduling

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The Mond Solution: Plug and Play Integration
Source
System ‘A’
(DB2)
MOND Semantic
Repository
Source System
‘C’
(Positional File)
Source
System ‘B’
(XLS)
Source System
‘D’
(CSV)
1. De-link source and
target fields
2. Do not think of maps
as source to target
3. Identify fields in each
system
4. Let MOND to the rest
(Robotic Process
Automation)

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MOND : Magic
Set First Name =“John”
Set City =“Boston”
Set Country=“USA”
Set Last Name= “Smith”
Set ZipCode=“51234”
Set Phone Number=“123-456-789O”
1. Insert Into Claims_Oracle_TB10212 (Data is automatically inserted into Oracle Table)
2. Insert Into Billing_SQL_Server_TB3801 (Data is automatically inserted into SQL Server
Table)
3. Insert Into Salesforce Account Object (Data is automatically inserted into Salesforce
Object)
4. Create CSV File (A CSV File is created)
5. Create ACORD P&C V1.0 XML File (An ACORD P&C V1.0 XML File is created)
6. Create ACORD P&C V2.1 XML File (An ACORD P&C V2.1 XML File is created)
7. Create Positional File (A Positional File is created)
8. Future New System (A new system or file type is created)
With this basic information, let us try different
MOND Commands

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MOND: Magic
But wait, values are hardcoded.
In real life I need values from another
source/system
Let us re-write the code to get the data from
another system

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Old School Concept (CSV to Claims)
Parse and get First
Name, Last Name, City,
Country, Phone Number
from CSV
Insert Into Claims_Oracle_TB10212
Set First Name_Claims= First Name_CSV
Set Lst_Name_Claims=LastName_CSV
Do the same for 300 other fields
Steps to get here:
1) Analysis
2) Development

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Old School Concept (CSV to Billing)
Parse and get First
Name, Last Name, City,
Country, Phone Number
from CSV
Insert Into Billing_SQL_Server_TB3801
Set First Name_Billing= First Name_CSV
Set Lst_Name_Billing=LastName_CSV
Do the same for 300 other fields

10. 10 © 2017, MOND. All rights reserved. Do not distribute without permission.
Old School Concept (CSV to SFDC)
Parse and get First
Name, Last Name, City,
Country, Phone Number
from CSV
Insert Into Salesforce Account Object
Set First Name_SFDC= First Name_CSV
Set Lst_Name_SFDC=LastName_CSV
Do the same for 300 other fields

11. 11 © 2017, MOND. All rights reserved. Do not distribute without permission.
Old School Concept (CSV to ACORD)
Parse and get First
Name, Last Name, City,
Country, Phone Number
from CSV
1. Create ACORD XML File
Set First Name_XML= First Name_CSV
Set Lst_Name_XML=LastName_CSV
Do the same for 300 other fields

12. 12 © 2017, MOND. All rights reserved. Do not distribute without permission.
MOND : Magic
Source: CSV, XML, XLS (any flat file)
1) Read Input
2) Parse Input
3) Automap based on Business Terms
1. Insert Into Claims_Oracle_TB10212 (Data is inserted into Oracle Table)
2. Insert Into Billing_SQL_Server_TB3801 (Data is inserted into SQL Server Table)
3. Insert Into Salesforce Account Object (Data is inserted into Salesforce Object)
4. Create CSV File (A CSV File is created)
5. Create ACORD P&C V1.0 XML File (An ACORD P&C V1.0 XML File is created)
6. Create ACORD P&C V2.1 XML File (An ACORD P&C V2.1 XML File is created)
7. Create Positional File (A Positional File is created)
8. Future New System (A new system or file type is created) Simplification: 5% of the code

13. Solution: Breakthrough Technology
Imagine a new platform that is robust, scalable,
automated, much like Modern Phone Calls…
MOND AGILE PLATFORM
• Rapid Integration: 5X faster
• Simplification: 5% of the code
• Cost: 50% less
• Omni-directional meta-data
transformations/Semantic mapping simplifies
integration
• AI-assisted citizen-integration shortens
implementation greatly reducing risk
• Integrated data is cleansed, indexed and
searchable
• SOC Type II Audited
BILLING
UNDERWRITING
13
AGENTS
LEGACY SYSTEMS
CLAIMS
DATA WAREHOUSE
BLOCKCHAIN

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Current Mond Agile Platform Metrics
1 Million
transactions per
day
• High throughput
ISO20022, SWIFT
Payments, STP
• Auditable
• Traceable
Insurance
Aggregator in 4
Months
• Complex Rules
• Robotic Process
Automation
• Integration with
Claims/CRM
$1B in payments
processed on a
monthly basis
• Payments to
vendors &
employees
• Payment types
and formats of
40+ countries
• Reconciliation,
returns, rejects
30+ Systems -- Data
Warehouse in 5
Months
• Connections to
DB2, SQLServer,
Foxpro, CSV, XLS
etc.
• 500+ Source
tables, 25,000
columns, <2,500
lines of code
320+ Partners
migrated from IBM
• Migrated 300
Vendors & 20
Customers from
IBM Sterling

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Mond Data Governance/Repository
Ability to view your entire meta data in one place

16. MondCloud: Single Platform for building enterprise applications
Customer-Centric, Delivering Enterprise Agility
Multi-tenant
Cloud/Hybrid On-Premise
Modelling
/Workflow
Responsive
UI
BPM
Process
Global
Data
Warehouse BlockChain
Business
Activity
Monitoring
API
management
B2B, FTP,
EDI,
SWIFT
ETL
EAI
Rules
Engine
SOC(SSAE) Type II Audited
“After working with IBM for
several years, I can see that it
makes sense to bring everything
together under one umbrella” –
Senior Business Analyst
16

17. For additional information
contact:
Geetha Sreedhar
Executive Vice President
MondCloud
Geetha.Sreedhar@mondcloud.com
508-429-3437