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Wherever you are on your ESG

Let's take a glance at the ESG eco-system

journey SOFTSERVE CAN help you ALL

solution functional architecture

THE WAY to your end objectives

Value

FULL-SCALE INTEGRATION

Integration of the real-time fair pricing result into the decision-makig process, risk management and porfolio management process

ESG PRICING

  • Rating to price models
  • What-if scenarios analysis
  • Bottom-up decision analysis

INTERNAL RATING SYSTEM

  • AI/ML models for rating of the formal data and informal incidents
  • AI/ML for cold start

CONTINUOUS DATA FLOW

  • Analysed and processed non-structured (informal) data

MDP-INJECTION

  • Market data providers scores w/o quantitative interpretation

DATA

Historian, Data Lake, DW, virtualization, streaming & ingestion

ANALYTICS

Dashboards, operational analytics, notifications and alerting, self-service analytics

INTEGRATION

Cross-system integration ecosystem, including integration with MDPs, Google API, scrapers, etc.

AI / ML

NPL models for data extraction and processing, rating models, sensitivity models, Q-to-Q models, MLOps for AI/ML management

GPU-BASED INFRASTRUCTURE

Infrastructure allowing real time processing of the significant volume of data and corresponding AI/ML models

Complexity

To Improve Outcomes and Enhance Quality SoftServe has a built-in accelerator – The ESG NEWS IMPACT IDENTIFICATION TOOL 

The ESG Ecosystem solution –

Gathers, Analyzes & Delivers

Extraction of the ESG-related information and further analysis using NLP models

Gathering of structured and unstructured data through the integration of MDPs, scraper, APIs, etc.

Usage of GPU based architecture to enable processing pf large volume of data amount of models

AI/ML models to convert ESG ratings change into the price and risk values of the instrument

Data flows and prosesses are oriented on the integration of ESG calculations into the real-time deision-making process

Management of the AI/ML models’ life cycles

ML-based Analytics Transforms Data into Actionable Insights To Remove ESG Investment Uncertainties

Gathers and analyses structured and unstructured data

Applies NLP analysis of the non-structured data

Leverages impact analysis of ESG-related incidents

Provides scoring, and conversion of qualitative factors into quantitative price/risk-related measures

COMPONENTS

BENEFITS

Ready-to-use environment that easily integrates with client’s infrastructure

Solution receives data from the scrapper and API-based sources

ML models are source-agnostic

ML training environment is part of the ready-to-use solution

Standard data structure covering financial industry standards

Retail industry selected for the scope of the accelerator (Retail has big ESG impact and quite big number of cases)

Solution identifies portfolio entities by full name, nickname, ticker

Align investment analysis approach, by applying a common framework

Close the uncertainty gap in ESG news completeness

Transform abundant data into actionable information

Support investors demand with reliable value analysis input tool

SEE THE DEMO

All Interested Parties Will Benefit

from Smarter Data

ASSET MANAGEMENT COMPANIES

INVESTMENT BANKS

INSURANCE COMPANIES

  • Assess, quantify and price ESG risk investment
  • Flag ESG concerns more accurately
  • Close potential uncertainty gaps
  • Enable targets to be met & verified
  • Display transparency identify market risk associated with ESG practices
  • Discover arbitrage opportunities
  • Ability to quantify ESG risk for valuation accuracy
  • Alert client of potential investment opportunities and risk influences
  • Flag problems arising from adverse ESG events
  • Secure an auditable data trail
  • Timely reporting of ESG impact events
  • Simplify data management for ESG compliance
  • Fill technical & analytic resource gaps


SUSTAINABLE FUNDS

SOLUTION BENEFITS

ESG CONSULTING COMPANIES

REGULATORS

RATING AGENCIES

  • Ensure quantifiable and measurable KPIs/parameters
  • Develop ESG data & investment practices to cover/future proof regulatory demands
  • Secure continuity of regulatory landscape development
  • Ensure 360 data view on-demand with reliable data
  • Ability to quantify ESG risk for valuation accuracy
  • Alert client of potential investment opportunities and risk influences
  • Flag problems arising from adverse ESG events
  • Secure an auditable data trail
  • Timely reporting of ESG impact events
  • Simplify data management for ESG compliance
  • Fill technical & analytic resource gaps

Let's take a glance at the ESG ecosystem

solution functional architecture

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