ZIGRAM Introduction July 2021
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ZIGRAM is a three-year-old technology organization that operates in the data asset space. It has over 220 employees serving multiple clients in over 60 countries. ZIGRAM develops data products and provides services related to data assets, financial crime compliance, and due diligence. It helps organizations address their data and compliance challenges through applications that use technologies like automation, analytics, and machine learning. ZIGRAM's vision is to integrate its products, data, and services globally to help solve real-world problems by leveraging data assets.
ZIGRAM Introduction July 2021
- 2. Private & Confidential ▪ ZIGRAM is a technology organization which operates in the Data Asset space ▪ Three year old organization, has a team that has decades of experience on Data Assets, AML, Due Diligence and working with global FIs and Data Providers ▪ Our solutions on customer diligence are compliance-critical and power some of the world’s largest banks ▪ Our 220+ people team serves multiple clients, that operate in over 60 countries ▪ Our teams are in Singapore, Delhi and Mumbai ▪ Recognized as the top 10 startups in India by LinkedIn Strategic Partner for o Data Companies o FI’s Risk & Compliance Function Focus on: o Data Assets o FCC/AML o Due Diligence o Technology About Us
- 3. Private & Confidential DIKW* Players Spend billions of dollars Employ over 54 million data workers And yet struggle to maintain and develop data assets or data products $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 Users & Clients For The Ecosystem DIKW* {Data, Information, Knowledge & Wisdom} The Pain Point For Clients & Users
- 4. Private & Confidential MOODY’s preferred us over a large established multinational global back-office player, on account of: ▪ Depth of knowledge on subject ▪ Our technology centric approach through a demonstrated tech tool with higher productivity & accuracy advantage KPMG went with us on account of: ▪ Our unique data set on AML Penalties globally; and ▪ Impact on their diligence quality CRB Monitor & Expert Institute preferred us on account of: ▪ Understanding of subject, years ahead of market ▪ Ability of the senior team to visualize a practical data solution to their challenge; and ▪ Ability of the team to demonstrate execution capability The latest and amongst the largest PEP databases in the world The largest databases in the world on Marijuana Related Businesses Our Clients
- 5. Private & Confidential Client Focus Attract Right Talent Global & Relevant Expertise Tech Mindset To Solutions 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 + Supervised Learning + Automation + Application Development + Cloud Technology + APIs + Data Architecture + ETL Methodologies + Scrapers & Crawlers + External Services + Data Lakes & Warehouse + Dashboards + Visual Analytics + Relationship Maps + Reporting + Infographics + Journey Maps FCC oriented specialists What positions us well ❑ ACAMs, ICA, CISA, CCISPL Specialists ❑ 220+ resources on FCC and technology ❑ Team has delivered in over 15 countries ❑ Experience in Assessments, KYC/TM CoE Set-up & Operations and FCC tech implementations ❑ Experienced FCC tech and analysis specialists Our Capabilities
- 6. Private & Confidential Abhishek Bali CEO & Co-Founder ▪ Data Asset Expert ▪ Technology Solution Integration ▪ Financial Crimes Compliance CoE Operations, including KYC, Screening ▪ AML, Adverse Media & Sanctions ▪ Formerly with Dun & Bradstreet, Axis Bank, BMR Advisors & KPMG ▪ Over 13 years experience in the data asset & AML space serving global financial institutions ▪ Conceptualised and developed technology tools for high volume diligence and record building ▪ Assisted FIs in setting-up and operationalizing AML functions from ground-up ▪ Established, operated and managed global ops for data providers ▪ Entrepreneur in risk & compliance and data focused businesses Rahul Pagare CFO & Co-Founder ▪ CoE Set-up & Operations ▪ Solution/Business structuring ▪ Cross-border Contracting & Implementation ▪ Deep understanding of KYC, profiling and analytics ▪ Formerly with Andersen, Goldman Sachs, HSBC ▪ Over 28 years experience including in large global financial institutions ▪ Established, set-up, operated and managed global ops for multiple FIs (with upto 20K employees) ▪ Worked across geographies in US, UK & Asia ▪ Entrepreneur in risk & compliance and data focused businesses ▪ Due Diligence Expert ▪ Financial Data Analytics Expert Key Areas of Expertise Key Areas of Expertise Senior Team
- 7. Private & Confidential 03 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 AML Penalties Dragnet Alpha Profile Builder Sanctions Products 02 Deploying experienced resources, subject matter experts and specialists to execute projects and operations for Data Assets, AML & Risk – From Conceptualization To Delivery Data Asset Development Maintenance Enrichment Remediation Services 01 Applications created by using multiple technologies including automation, analytics, machine learning and AI to help build Data Assets – Faster, Cheaper And Better Profiling Star Scraping Engine Association Maps Change Monitoring Applications Our Offerings
- 8. Private & Confidential 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
- 9. Private & Confidential © Zigram Data Technologies Private Limited 2021. 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. Thank You Contact Us abhishek.bali@zigram.tech