This document offers an overview of the 6-month ZIGRAM internship program which is meant for those candidates and individuals who wish to get aligned and trained in Data Assets related skills and technologies.

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Internship Program 2019-2020
Introduction

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What is ZIGRAM?
ZIGRAM is a Data Asset focused organization. Our aim is to
leverage proprietary technologies, methodologies, frameworks,
algorithms and processes for the purposes of creating best-in-class
data assets across use-cases.
The team at ZIGRAM is made up of specialists in data assets,
engineering, data science, operations, research, consulting, ETL and
functional subject matter experts.
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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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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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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$200+ Bn Expected market size
of data market by 2020
How Big is the
Space?
Sector Market Size Growth
Financial Market Data $27.8 Bn (2017) 3.45%
Market Research $44 Bn (2016) 2.2%
Business Information Services $45 Bn (2020) 5.2%
Vendor Risk Management $3.29 (2017) 14.6%
Governance, Risk & Compliance $22.14 Bn (2017) 14.7%
Employment Screening $2.9 Bn (2016) 7.5%
Marketing Data Market $18.2 Bn (2018) 36%
KYB (Know Your Business) $5.6 Bn (2017) 16%
Financial Detection & Prevention 16.62 Bn (2017) 20.1%
Our place in the Data Ecosystem

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Our Work
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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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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Internship Program
An Overview

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Internship Program Purpose
Expose interns to best-in-class
skills and standards for to Data
Asset operations and Technology
 Introduce Data Assets & the ecosystem
 Train and align resources towards basics of Data Assets
 Provide exposure on aspects of technology, data science & ops
 Carry out formal and informal training
 Offer real world challenges, solutions and opportunities
 Assess potential areas of expertise & capabilities
 Align deserving interns towards full-time roles

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General Rules
 Grooming & Dressing Standards – Formal
 Start Time is 9.30 am (Last time in at 10.30 am)
 Deliverables & Timelines are considered sacrosanct
 Out of office – Available on calls
 Bring problems but with solutions
 Everything is your job
 Research is key & facts are important
 Check in daily with your leader(s)
 Our policy is on leaves – Take them when required and if urgent
 Data Security & Non-Disclosure are critical
What matters to us, is outcome.
What concerns us, are values.

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Getting A Full-Time Offer
 Being offered a full-time roll is NOT a guarantee
 It is dependent on performance, skill sets and other organizational factors
 Assessments of performance will be done on regular basis
 Offers will me made by month 4 or end of internships
Our aim is to retain interns as full time members of
ZIGRAM as part of specific teams:
 Operations
 Engineering
 Data Science

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We work with Amazing Intensity
Because nothing great was ever built between 9 to 5
We aim to solve Big Problems
Because they lead to big rewards and big success
We value ‘Hunger’ over ‘Credentials’
If you have something to prove, we shall give you the
opportunity
We work with & build Real Tech
We use them across all products and projects… not just
in brochures
We know What Sells
Because building a business is part of
our DNA
We love Data
And so we respect Nerds, Geeks,
Techies and Dreamer-Doers!
Because everyone needs 6 good reasons
Why Should You Join?

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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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