This talk will unveil QIAGEN’s Biomedical Knowledge Base products, elucidating their structure and schema design optimized for complex data exploration and sophisticated question-answering in the biomedical sector.

1. Graph DB (Neo4j ) Powered
Sustainability
Rudraksh Bhawalkar
Partner Technology Consulting - Data & AI,
Ernst & Young Consulting GmbH | Germany

2. 2 3
Solution -
Introducing ESG
D&R Navigator for
CSRD – Features &
Benefits
Data Challenges
Agend
a
1
ESG Use-Cases &
Opportunities
5 6
Q&A
Recorded Demo
4
ESG D&R
Architecture
Powered by
Neo4j

3. ESG Use-cases &
opportunities
1

4. Sust. Supply
Chain & Circular
Economy
Decarbonization
& Energy
Transition
CFO Led
Sustainability
Sustainable
Workplaces &
Org.
Sust. Customer
Experience,
Products & Services
Sust.
Governance, Risk
& Compliance
Green and
InfrastructureEco
nomy
Sust.
Transformation
Sust. Data and
Tech
ESG Use-cases – At a glance

5. Americas:
• The Securities and Exchange Commission (SEC) is developing climate
and human capital-related disclosure mandates for USA
• Canadian Securities Administrators (CSA) will introduce climate
disclosures for public companies that are largely in line with TCFD
standards. If finalized in 2022, the rules are expected to take effect for
fiscal year 2023.
EMEIA: Germany & Europe
• Corporate Sustainability Reporting Directive (CSRD)/ EFRAG/
EU Taxonomy on environmentally sustainable economic
activities
• German Supply Chain Act and upcoming EU directive
• EU Plastics Levy: national contributions from EU Member
States, compensated through plastic tax
• German Packaging Act: several obligations for companies
including license fees from 2022 on
• CBAM: Carbon Border Adjustment Mechanism
India:
• Business
Responsibility
and Sustainability
Report (BRSR)
Great Britain:
The Sustainability Disclosure Requirements (SDR), will
build on TCFD-aligned disclosure, with ISSB standards
Japan:
Developing a mandatory climate disclosure rule, based on
TCFD
Corporate Sustainability
Reporting Directive
Accounting
Standard
Reporting
Standard
Upcoming
regulation
Commitment &
Voluntary
Frameworks
Steps to take:
• Create regulatory as-is analysis and compliance
due diligence
• Identify new regulations, understand the
implications and requirements impacting
companies and sectors; provide horizon scan
• Define actions to improve / ensure compliance
For ESG compliance, it is important to have transparency of existing and
upcoming global and local recommended regulations, to drive shareholders
value

6. *Our Sustainability Ambition | EY Sustainability | Discover
Source: Verdantix – ESG consulting market size
The lack of a solid data
foundation is the biggest
challenge in equipping
enterprises in their ESG
journey
The Opportunity*
$50 Billion
• Total Addressable Market
is $50 billion.
may need to report on sustainability matters due to the EU
CSRD. CSRD goes into effect by 2024
50000+ companies
25000+ companies
CSRD
in Singapore, UK, Hong Kong and Brazil have mandated
reporting as per TCFD guidelines. Australia is planning to
mandate TCFD by 2025
TCFD
ESG Reporting and
Disclosure
Other Sustainability Drivers
Business Transformation
Supply chain sustainability
ESG Advisory and Corporate
Strategy
ESG Opportunities are high ,but lack of solid data foundation is a key
challenge

7. Why data is the challenge ?
2

8. Specific data challenges in ESG use-cases - examples
Indicative Target: Petroleum-based
plastic by 10% by 2025 and a third by
2030, based on our 2020 baseline
Data Challenges: Data collection from
suppliers on plastic purchase & Packaging
source materials?
Supply Chain & Circular economy
Target: Net Zero carbon emissions by 2040
aligned to guidance from The Climate Pledge
and Race to Zero, Scope 3 emissions by 42%
by 2030
Data Challenges: Diversified input materials,
regulations / tax on responsible sourcing,
Inconsistent / availability of data from
suppliers
Decarbonization & Net Zero
Target: All key agricultural, forest and
marine-derived materials used in our ingredients
and packaging are sustainably sourced and
deforestation free by 2030
Data Challenges: Transparency of palm oil supply
chain for Sustainable Palm Index, Quantification of
impact from biodiversity initiatives
Compliance Regulatory Disclosures ?
► How can I transition from Corporate level data measurement to
product level?
► How to collect data from suppliers?
► How can I ensure that it is auditable & accurate?
► How can I move from limited assurance to reasonable assurance
► If I am already TCFD compliant ,how can I transition towards
CSRD?
► How do I know which products have petroleum-based packaging
sources?
► Can I collect data at primary, secondary and tertiary packaging?
► Do I have the required measurement metrics identified?

9. What are the data gap patterns ?
Gaps: Datasets are requested and collected –
but they are not always adequately populated
Holes : Uncertainty about what exact data
would be needed or most useful
Available data
Problem starts as
early as definition
of Identifying what
data points to
measure ?
How to map
against
mandatory
disclosures/regula
tions – what are
the gaps ?
How can I deep
dive to process
,sub-process,
device/unit level ?
Lack of Robust data
collection
/Governance
framework and how
to automate this ?
Data existing in silos
How to collect
these data points ?
How do I make it
audit ready (data
quality )
EY has been working with 25+ Enterprise customers on their data strategy and clearly below are the gaps !.

10. Solution –
• We need a tool that answers –What ,Where
and Why of ESG data
• Introducing ESG D&R Navigator
3

11. ESG Data & Requirements Navigator
ESG Reporting
Metrics
Common
Data
Definitions
ESG Regulatory
Reporting
Interpretation
Data Lineage
Product Description
D&R Navigator accelerates the
design & build of a comprehensive
client-side ESG Reporting Estate
with jump-start tools that map out
the end-to-end ESG journey from
Regulatory text to sourced data.
Business Benefits
WHAT, WHERE and WHY of ESG
data
Regulatory
Overlap (at the
data level)
Data
Visualisation
Client
MetaData
Regulatory
Impact Analysis
Accelerates ESG
Reporting
Solution Design &
Implementation
Highlights
overlap & reuse
of data between
regulations
(for clients)
Supports Audit &
Controls for ESG
Reporting Metrics
Provides client
impact analysis of
new regulations
1 2 3 4 5
Enables source
data mapping
maturity

12. ESG Data & Requirements Navigator – Illustrative example of mapping
emissions (Modelled leveraging Neo4j)
Scope 3 emissions
E1_6 Gross Scopes 1, 2, 3 and Total GHG
emissions
Facility
Supplier
Commodity Name
Derived KPI’s Primary KPI’s Sub-KPI’s
Core Data Points
(Reporting level)
Source Processes Source Logical
Attributes
Input Quantity
Supplier Data
Quality Score
Supplier Emission
Factor
Supporting
Certification
ESRS Disclosure
defined text
► %Scope 1 vs Scope 2
► Last Year Scope 2 emissions
► Trend Indicators
Palantir/AWS
Disclosure Reports & Analytics Source Mapping – One.ERP Layer
► Calculation
Methods
► Formulae
Data Platform
Nature of ownership
Indicators
P2P Quantity = PO Qty
Weight = Master
data (per unit
weight)
Enrich Good receipt
process by updating
UOM (KG to Co2e)
Finance
Physical Table & field
Mapping
MBLNR
MJAHR
BWART
BUDAT
WERKS
MATNR
KOSTL
MATNR Material
Pass the MATNR,
Posting Date (BUDAT),
Movement type
(BWART) as (261-262)
or (201-202) in MSEG
to get Consumption
quantity (MENGE) and
unit of measure
(MEINS).
Field Mapping
Field Name
MSEG - Material
Documents
(Good issue
scenario)
Table
1 2 3 4 5 6 7 8
► Scenarios
► PO/PI Creation
► Good Receipt
Business Process Levels.
1. Specific Business Process
Area
2. Specific business process
3. Specific Activity
4. Specific Task
3.1 Purchased
Goods & Services

13. ESG D&R Navigator – Architecture –
Powered by Neo4j
4

14. ESG Data & Requirements Architecture – Neo4j
Presentation layer
React UI
EY Users
Connected to
&
Hosted on
Web server
Blob storage
API/Integration layer
Application layer
Ingest, transform and map
master, reference and
activity data
Data processing on:
Azure file
storage
Knowledge graph layer (Neo 4J)
Prod Data base Compute layer
Node/Relationships Data transformation
Data sources
Raw layer
Source
data
CDM
Master
Other
regulation
data
Attribution
factors
Regular updates on :
Staging layer
CDM
updates
Regulation
updates
Source data
/Documentati
on
General
calculation/
Attribute
Dev cycle
Dump
Live
Data
Integration

15. 2
Improve speed minutes to milliseconds
Ready-
Time Query Performance
What makes it different? Index-free
adjacency enforces the nodes to have direct
physical RAM addresses and physically point to
other
adjacent nodes, it results in fast data retrieval
3
1
Graph-native machine learning (ML)
Enables future implementation of ML easily on
top of the ESG Metadata
Why Neo4j?

16. Recorded Demo
5

17. Q&A

18. Thank you
Rudraksh Bhawalkar
Partner, AI and Data
EY Technology Consulting,

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