ESG Data Management with a focus on financial reporting
The purpose of corporate data is to allow both management and stakeholders to make decisions and take actions that maximize benefits to the company and to stakeholders. It is a foundational building block of managing and reporting on business-critical issues. Poor data leads to poor decisions and even poorer results – as the popular computer science saying goes: garbage in, garbage out (“GIGO”).
Data management is the practice of collecting, keeping, and using data securely, efficiently, and cost-effectively. The goal of ESG data management is helping “people, organizations, and connected things to optimize the use of data within the bounds of policy and regulation so that they can make decisions and take actions that maximize the benefit to the organization.” Good ESG data management helps ensure that users trust and have confidence in the data to be fit for its intended purpose, without the need for manual alignment or data reconciliation.
Prix total *
Membres: € 550
Non-membres: € 650
Partenaires/ BZB: € 550
Incompany: sur mesure, prix à la demande
* Prix : prestation dans le cadre du recyclage régulier, exonérée de TVA
Heures de Recyclage
Banque: 6h général
Assurances: 6h général
Crédit à la consommation: 6h général
Crédit hypothécaire: 6h général
Compliance:
6h
Recyclage
Dates disponibles
14/06/2024 - 09:00u - 17:00u - ESG Data Management with a focus on financial reporting
14/10/2024 - 09:00u - 17:00u - ESG Data Management with a focus on financial reporting
Manifestez votre intérêt lorsqu’aucune date n’est disponible, la date planifiée ne convient pas et/ou la session existante est complète. Dès que 5 personnes sont inscrites sur la liste d'intérêt, nous vous proposons une nouvelle date. Votre inscription sur la liste d'intérêt est gratuite et n'induit aucune obligation.
Groupe cible
This training course can be followed by multiple target groups:
- finance departments;
- risk department;
- CSR;
- data department;
- strategy & business development;
- project managers;
- …
Connaissances préalables
Advanced level training: this training requires a general basic knowledge of the subject.
Programme
CONTENT
- Introduction to Data Management: importance of data quality / regulation
- Data Management Framework: Data Traceability, DQ Dimensions
- ESG Data & Reporting – ECB / EBA Expectations – GAR / EPC / GHG - ESG Pillar 3 Reporting –– CSRD
- From Theory to Practice - ESG Data Management: Data Management Cycle
- Collection & Capture: how to source External & Internal ESG data and organise tagging?
- Access & storage: how to set up an ESG Data Architecture (systems and tools)?
- Reporting / Sharing: internal & external stakeholders / ad-hoc versus recurrent reporting
- Control Framework: three lines of defence, DQ Controls & KPI’s / Dashboarding, how to validate & certify
- Best practices / challenges: from project mode to recurrent “Business as Usual”
- ESG Data Governance: transversal character (many stakeholders)
- Complexity of ESG methodology / Taxonomy
- Training of different stakeholders
- Balancing different interests: how to prioritise
- Data Quality remediation
- How to set up an agile organisation
- Latest developments & initiatives
PRACTICAL INFORMATION
- Duration: 1 day of training (6 class hours)
- Hours: 09:00 to 17:00
- Location: Febelfin Academy: Phoenix building, Koning Albert II-laan/Boulevard du Roi Albert II 19, 1210 Brussels
- Language: This training will be given in English
Méthodologie
You follow a ‘Classroom training’ face-to-face in a group. You, the other participants and the teacher are all present in the same classroom at an agreed time. There is an opportunity for interaction and feedback, both from the participants to the teacher and vice versa. The teaching material consists as a basis of a presentation via the MyFA learning platform, supplemented with various other items (such as digital syllabus, presentation, audiovisual fragments, etc.).
Course material: PowerPoint.
Formateurs
Ruben Olieslagers
Risk, finance & treasury
Compliance & audit
