An overview about ZIGRAM, our focus areas, work, use-cases and team. ZIGRAM is a high impact organization which operates in the Data Asset space. Our team is made up of professionals from varied domains like data science, technology, sales, financial services, research and business consulting. Our aim is to deliver value to clients by Building and Managing Data Assets across use cases - thereby boosting revenues and reducing the cost of doing business, in a data-driven world. Our Vision is to integrate our products, data, and services in DIKW organizations globally, to help solve real-world problems by leveraging Data Assets

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Introduction
June 2019

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Z Zeno Founder of the stoic school of philosophy
I Issac Asimov Finest writer & creator of science fiction
G Sir Francis Galton One of the greatest polymaths of our time
R S. Ramanujan Famous mathematician with almost no formal training
A Augustus Founder of the Roman Empire and Pax Romana
M John McCarthy Computer scientist known as the ‘Father of AI’

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What is ZIGRAM?
ZIGRAM is a data focussed organization which operates in the
Data Asset space.
Our team is made up of professionals from varied domains like
data science, technology, sales, risk, analytics, financial
services, research and business consulting.
Our aim is to deliver value to clients by Building Solutions,
Developing Data and Managing Data Assets across use
cases - thereby boosting revenues and reducing the cost of
doing business, in a data driven world.

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A Data Asset is a structured, comprehensive
and validated database of information which
is built and maintained for a specific use case
or in response to a problem
Comprehensive
Built-For-Purpose
Validated
Structured
What is a Data Asset?
Gold Standard or
Reference Data
Data Asset {

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Data So? The Answer
Why are Data Assets Important?
Banks & FIs suffer frauds
due to lack of data,
monitoring and timely alerts

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Our Offerings
I Applications
Applications created by using multiple technologies including automation, analytics,
machine learning and AI to help build Data Assets – Faster, Cheaper and Better
II Services
Deploying experienced resources, subject matter experts and specialists to execute
projects and operations across the Data Asset lifecycle – From Conceptualization
To Delivery
III Products
Data Asset products built in-house, either in partnership with other players or wholly
managed, with subscription, application or API based access – Solutions For
Specific Use-cases
What do we do?

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Built to create Data Assets – Faster, Cheaper and Better
Development
Maintenance
Enhancement
Enrichment
 Regular Expressions
 Translation & Transliteration
 Source Assessment
 Scraping and Crawlers
 Data Dictionary
 AI / Machine Learning
 Testing Methodologies
 Workflow Automation
 Profile Development
 NLP
 Link Extraction
 Statistical Testing
 Validation Methodologies
 Master Structures
 Scaling Techniques
 Cloud Services
 External Integrations
 Application Development
Technology Solutions for Data Asset Projects
Applications
I Applications
Applications created by using multiple technologies including automation, analytics,
machine learning and AI to help build Data Assets – Faster, Cheaper and Better

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Profile Builder
Performance Visual Analytics Process Management Extraction Machine Learning Integrations
EnhancedCoverage
EfficientMaintenance
TimeReduction
CurrentTechnology
Pipeline
More comprehensive coverage and completion rates for PEPs and
Associations, globally
Maintain 100% of PEPs by addressing the issue of unsustainable backlog
Upfront, reduce time by a third to build PEP profiles and ensure ongoing
efficiency
PROFILE BUILDER is an application
designed to manage PEP data asset
maintenance and development by
leveraging:
 Technology driven workflows
 Embedded Data Asset operations processes
 Automation of extraction of sources and content
 Machine learning
 End-to-end project management
Fully Featured. With the right context
Built on the Azure cloud with .Net, Python & HTML/CSS, with ML, NLP,
proxy and scraping services integrated
Politically Exposed Persons use-case focused application

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Research Optimization
Built for institutions who want a solution to manage
their entire research, risk and compliance process
Designed for individual researchers who want a
seamless low cost solution to initiate research
- Financial Institutions
- Risk focused teams
- Vendor & supply chain departments
- Government Agencies
- Consultants & Advisors
- Educational institutions
- Hiring and Executive search
- Data Asset development teams
Use-case specific
algorithms for global search
on individuals, businesses &
events
Machine learning driven
search to provide 50%+
time savings
Workflow automation
integrated with NLP, tools,
templates and intelligent
services
1 2 3
Machine Learning driven search for research

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Our team has demonstratable capabilities and
skill sets required to develop and manage data
asset projects across use cases and industries
for clients globally.
 Research
 Process Development
 Analytics
 Reports & MIS
 Project Management
Executing, managing and delivering projects for clients, globally
Services
II Services
Deploying experienced resources, subject matter experts and specialists to execute
projects and operations across the Data Asset lifecycle – From Conceptualization
To Delivery

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Data Asset Framework
The ZIGRAM proprietary framework
We leverage our proprietary Data
Asset Framework to manage data
asset projects from
Conceptualization to Delivery i.e.
across the Data Asset lifecycle.
These projects are managed by an
experienced, multi-skilled team,
supported by the right use-case
subject matter experts.

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Country Risk
Check
Fraud/Bribery/
Bankruptcy
Check
Litigation &
Restricted Lists
Key
Management
Personnel (KMP)
Check
Media & Internet
Search
PEP Association
Business
Registration,
Profile, Concerns
& Related
Details
Reputation
Check /Trade
Check/ Site Visit
Associated Party
Check
Components of ResearchThird Party Due Diligence reports have been
designed to determine potential red flags that may
be associated with an entity, its key management
personnel or by association.
Due Diligence & Research
Managing projects across the risk landscape
Research Report Audit Report Source Copies
Background Check
1Private & Confidential ABC Inc.
El Chapo
Drug Lord | Sinola Cartel
Mexico
Background Check
23 February 2019
Hercule Poirot
ABC Inc.
Research
Report

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Products
Building world-class DaaS & SaaS products
III Products
Data Asset products built in-house, either in partnership with other players or wholly
managed, with subscription, application or API based access – Solutions For
Specific Use-cases
Developed to give the global AML
professional an analytics based,
comprehensive and easy to reference
resource for AML cases, penalties,
regulations, trends & actions.
$
AML Zone
Under Development
Developing and delivering primed
account data assets for specific end-
customer requirements, along with
insights, KPIs and predictive analytics
with the aim to increase conversion,
ticket size and traction.
Inside Sales
Beta
Images & profiles of RSCI (Religious,
Social & Culturally Important
Individuals) to aid a facial recognition
software in providing information about
these individuals
Facial Recognition
Concept
Focused on reducing costs, enhancing
cyber & data security and managing
compliance norms for organizations
across supply chains & ecosystems.
(Cyber & Data Security + Compliance)
CDSC
Testing

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Politically Exposed Persons
1.2+ Million
Building and maintenance of a global database of PEPs
done across 240 Countries & Jurisdictions covering 30
Languages
Suspected Players Online
200,000+
Negative news of the online space – Websites linked to
individuals & entities covering IP theft, OC, human-trafficking,
terrorism etc.
Marijuana Related Businesses
55,000+
US and Canada list for Marijuana business across the
supply chain
Rogue Mobile Apps
10,000+
Identification of mobile applications which contravene
regulations and client’s brand & acceptable usage
High Risk Correspondent Banks
3000+
Research and updation of global high risk correspondent
banking relationships
Slavery & Human Trafficking
Global
Conceptualization to framework development of a
database related to slavery associated individuals &
companies
Anti-Corruption Referral Directory
10,000+
Development of Anti-Corruption referral directory on Civil
Servants for the UN in India
Ports & Vessels
4000+
Development of TBML information related to sanctions,
sea ports and vessels
Entertainment
100,000+
Development of a Best-In-Class Region focused
Entertainment Data Asset
EDD Reports
Africa, Middle East & Asia
Research reports on clients
Correspondent Banks
15,000+
Research and updation of global correspondent banking
relationships centered around North America
Civil Servants
500,000+
Database of Civil Servants (other than PEPs)
Team Experience in Data Assets

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Research & Operations Data Science Technology Representation
+ Profile Development
+ Project Management
+ Online Research
+ Data Projects
+ Data Asset Framework
+ Remediation
+ Enhancement
+ Enrichment
+ Maintenance
+ Analytics
+ Machine Learning
+ NLP
+ Deep Learning
+ Statistical Testing
+ Visual Analytics
+ Data Mining
+ Automation
+ Application Development
+ Cloud Technology
+ APIs
+ Data Architecture
+ ETL Methodologies
+ Scrapers & Crawlers
+ External Services
+ Dashboards
+ Visual Analytics
+ Relationship Maps
+ Reporting
+ Infographics
+ Journey Maps
Core Data
Insights &
Efficiency
Delivery &
Deployment
Reporting &
Showcasing
Building the right mix of skills and resources
Our Capabilities

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To integrate our products, data and
services in DIKW organizations
globally, to help solve real world
problems by leveraging Data Assets
DIKW {Data, Information, Knowledge & Wisdom}
Our Vision

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Use Cases
Snapshot of areas of focus

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MRB Data Asset is being developed
to be the most comprehensive and
detailed database of Marijuana-
Related Businesses (“MRBs”) and
their related Ultimate Beneficial
Owners (“UBOs”).
Marijuana Related
Businesses (MRB)
Risk & Diligence
31 Legal Medical Marijuana States & DC
9 Legal Recreational Marijuana States & DC
150K Estimated MRB Profiles
The Need
For organizations to screen, identify and act
in the event of an MRB customer/third party
Drivers
- Rapidly changing regulation
- Legalization for medical & other users
- Difference between federal & state laws
- Client specific risk appetite
End Users
- Banks & Financial Institutions
- Investors & Marketing Agencies
- Regulatory and Government Agencies
- Aggregators & B2B service providers
Legal MRB Market ~ $5 Billion
Marijuana Related Businesses

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69% companies see rise in costs
USD 248.26 billion by 2023
Cyber Security and
Compliance Market
Focused on reducing costs, enhancing
cyber & data security and managing
compliance norms for organizations across
supply chains & ecosystems.
(Cyber & Data Security + Compliance)
Cyber Security
CDSC
The Need
With the increase in compliance norms,
regulations and reputational impact,
organizations need a scalable solution for
compliance & data security
Drivers
- Cyber Compliance Norms
- Dependence on Third Parties
- Rising Compliance Costs / Complexity
- Cyber Risk Management
End Users
- Fortune 1000 Companies
- Suppliers / Vendors / Third Parties
- Insurance & FIs
- Regulators & Agencies
Cyber & Data Security + Compliance

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Developed to give the global AML
professional an analytics based,
comprehensive and easy to
reference resource for AML cases,
penalties & actions.
$
AML Data Asset
Risk & Compliance
100+ focus countries
AML timeline stretching back 20+ years
15,000+ AML cases
The Need
Adequate coverage, overview and
oversight of specific AML based risks
related to individuals and organizations
Drivers
- Need for validated information
- Screening & Due Diligence on third parties
- Correspondent banking based risk
- Risk based assessment requirements
End Users
- Banks & Financial Institutions
- Risk & Compliance Professionals
- Regulatory and Government Agencies
150K AML Professionals
AML Zone

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A database containing images &
profiles of RSCI entities (Religious,
Social & Culturally Important
Individuals) to aid a facial recognition
software in identifying, recognising
and providing information about
these individuals
Facial Recognition
Security
The Need
Organizations need reference images and
profile details about an important individual
so that they may be able to identify, preempt
or act based on Facial Recognition triggers
Drivers
- Security and Risk
- KYC and Customer Loyalty Programs
- Facility Risk
- Authentication via Online Channels
End Users
- Banks & Financial Institutions
- Law Enforcement
- Airports & Casinos
- Events & Retail
400K RSCI Profiles
Market Size ~ $7.5 Billion
Area of Deployment
Generic facial recognition framework and
process
Facial Recognition

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Developing and delivering primed
account data assets for specific end-
customer requirements, along with
insights, KPIs and predictive
analytics with the aim to increase
conversion, ticket size and traction.
Inside Sales
Sales & Marketing
The Need
To reduce the cost of sales, customer
acquisition and increase CLV, organizations
globally have started using Inside Sales as
the primary methodology of sales
Drivers
- Increasing Sales Costs
- Targeting small and SME entities
- Need to educate and engage prior to sales
- Making smaller ticket size sales, viable
End Users
- SaaS companies with SME target Market
- Organizations selling product bundles
- Whitespace targeting firms
65 Million SMEs in India
$10B India SMB SaaS Market
Inside Sales requires high quality data, good
context and a tech enabled ecosystem
Inside Sales

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The Harmonized Commodity
Description and Coding System
generally refers to “Harmonized
System of Nomenclature” or simply
“HSN”. It has been developed by the
World Customs Organization (WCO).
HSN Codes
Tax & Trade
The Need
HSN is applicable in India after
implementation of GST. The code is critical
for businesses to be able to adhere with the
GST norms and avoid penalties
Drivers
- HSN is applicable post GST
- Confusion & ambiguity in relevant codes
- Claiming input credit tax
- Tax liability and penalties
End Users
- Global MNCs in India
- Export and Import companies
- Tax advisors & consultants
09024020 is the code for Black Tea sold
as leaf in bulk, where 09 is the Chapter,
02 is the heading and 40 is the product
code for Black Tea.
10 Million Combinations (5000 codes)
1.3 Million GST professionals
The last 2 digits of 20 is code allotted
by Indian taxation system for Black
Tea sold in leaf form and in bulk.
Had it been Black Tea bags then the
last two digits of the HSN code would
have been replaced with 40 instead
of 20.
HSN Codes

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Contact
contact@zigram.tech
linkedin.com/zigram
www.zigram.tech
twitter.com/zigramt
© Zigram Data Technologies Private Limited 2019.
All information contained in this presentation is the IP of ZIGRAM. This presentation is meant only for the recipient. No part of this
document may be reproduced / shared / divulged or referred to in part or in full without the prior written consent of ZIGRAM. The
ideas / views presented in this document are those of ZIGRAM and may not be replicated or used without the written consent of
ZIGRAM. While considerable care has been taken in gathering the thoughts/ information included in this document, ZIGRAM has not
validated such information and hence does not confirm accuracy of such information. This document is preliminary in nature and is
purely indicative of the approach recommended by ZIGRAM.
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