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.

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ZIGRAMData {Assets. Science. Experts}
Z

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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 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.

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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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DIKW Players
Spend billions of dollars
Employ over 400,000 resources
And yet struggle to maintain and develop data
assets projects
$3 Trillion
Impact of bad data in 2016
In a report by IBM, the estimated annual
cost of poor quality data has reached
$3.1 Trillion annually, just in the US alone
For
Customers
For The
Ecosystem
The Pain Point
DIKW {Data, Information, Knowledge & Wisdom}

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Who are our Customers?
Data Information Knowledge Wisdom
Market Statistics
Market Survey
Database Providers
Marketing Data
Advertising Data
Credit Rating Companies
Financial Market Data
Risk Data Providers
Health Data Providers
Background Check Vendors
Big 4 Accounting Firms
Financial Consulting Firms
Market Research
Brand Research
Generic Consulting Firms
Management Consulting
M&A Firms
Specialist Advisors
PR Firms
Qualitative Insights

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I
II
Data Asset
Technology
Data Asset
Services
Applications created by using multiple technologies including automation, analytics,
machine learning and AI to help build Data Assets – Faster, Cheaper and Better
Executing process and operations across the Data Asset Lifecycle by deploying
experienced resources, subject matter experts and specialists – from
Conceptualization to Delivery
What do we do?

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I Data Asset
Technology
Applications created by using multiple technologies including automation, analytics,
machine learning and AI to help build Data Assets – Faster, Cheaper and Better
Building applications & leveraging technologies
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
Data Asset Technology

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II Data Asset
Services
Executing process and operations across the Data Asset Lifecycle by deploying
experienced resources, subject matter experts and specialists – from
Conceptualization to Delivery
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 projects and delivering value
Data Asset Services

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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 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
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
+ Online Research
+ Data Projects
+ Data Asset Framework
+ Remediation
+ Enhancement
+ Enrichment
+ Maintenance
+ Analytics
+ Machine Learning
+ NLP
+ Deep Learning
+ Statistical Testing
+ Automation
+ Application Development
+ Cloud Technology
+ APIs
+ Data Architecture
+ Extraction/Mining
+ Scrapers & Crawlers
+ External Services
+ Dashboards
+ Visual Analytics
+ Relationship Maps
+ Reporting
Core Data
Insights &
Efficiency
Delivery &
Deployment
Reporting &
Showcasing
Capabilities
Building the right mix of skills and resources

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“Our vision is to integrate our products
and services in DIKW organizations
globally, to help solve real world
problems by leveraging Data Assets”
DIKW {Data, Information, Knowledge & Wisdom}

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Use Cases
Snapshot of Data Asset projects

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Marijuana Related
Businesses (MRB)
Facial Recognition
Security
HSN Codes
Tax & Trade DiligenceOutreach
Inside Sales
Risk & Compliance
AML Zone
Current Focus Areas
$

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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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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
Facial Recognition
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
- SAS Organizations with SME target Market
- Organizations selling product bundles
Target 1.5 Million SMEs in India
$30B Inside Sales Market Size
Inside Sales requires high quality data, good
context and a tech enabled ecosystem
Inside Sales

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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 50+ 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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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)
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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Products
Tools & Applications

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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

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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 and teams 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
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Contact
bali@zigram.tech
Linkedin/zigram
http://www.zigram.tech/
https://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.