CDO’s ESG Data Management Masterclass – Building a Holistic ESG Data Strategy
The demand for ESG sustainability data is growing exponentially across the globe as publicly traded companies prepare themselves to comply with new regulations that go into effect in January 2024. These include the Securities Exchange Commission’s (SEC), TCFD (Taskforce on Climate-Related Financial Disclosures) and the EU’s CSRD (Corporate Sustainability Reporting Directive) to name a few. Experts predict that the volume, complexity, tolerance levels, and different data sources of internal systems to third-party data providers that make ESG sustainability data will be challenging for organizations that lack a sound and holistic ESG data strategy and capable data management and data governance technology and competencies.
Join industry experts from Informatica, Deloitte and Snowflake as they outline the critical success factors in building a holistic data strategy for all verticals (Financial Services, Retail, Life Sciences, etc.). You will learn:
The impact of the ESG Materiality Assessment on the ESG Data Strategy
How to align the ESG Data Strategy with the ESG Sustainability Strategy
Accelerating new Business Models for Banks with Data & AI
Most traditional banks are weighed down by data silos and long accrued technical debt creating significant data and decision-making overhead. Getting the data foundation right, with a sound insight-centric data model is the prerequisite for banks to be able to offer real-time, hyper-personalized offers and smart decisions related to loans and other digital banking products.
In this talk, we discuss the importance and necessity of a sound data model that enables banks to operate with higher efficiency and effectiveness in the era of digital ecosystems. We will discuss some success stories where we are helping customers design and implement novel industry-aligned enterprise data models and transforming their businesses to become data-driven, analytically focused, and customer-centric.
The discussion will explore:
Building sustainable data models that usher banks into a new era of data reciprocity to turbocharge AI use cases
Real-time AI use cases around hyper-personalization
AI-driven decision-making and real-time offers in the era of ecosystem players
Leveraging Machine Learning for Data Management
In today’s data-driven world, organizations face the challenge of effectively managing their data to extract valuable insights and make informed decisions. During this presentation, we will explore how Machine Learning (ML) techniques can transform data management practices, specifically focusing on data quality.
We will delve into the power of ML in revolutionizing data management processes. From data reconciliation to comprehensive data quality assessment and establishing robust data lineage, ML offers a wealth of powerful capabilities to streamline data management.
Join us to learn how ML is reshaping the landscape of data management. You will discover how organizations can leverage ML techniques to ensure utmost accuracy, consistency, and reliability of their valuable data assets.
Data, Records & Compliance, Oh My!
The relationship between data and records continues to grow and evolve. So, how do you get the most out of your information, while ensuring proper security and compliance processes are followed? During this session, our panel of experts will dig into the most concerning topics they’re seeing in attaining collaborative management of information as well as address your pressing questions as they pertain to data and records lifecycles.
Top Trends and Challenges in the Cloud
Gartner predicts that by 2026, 75% of organizations will adopt a digital transformation model predicated on cloud as the fundamental underlying platform. It is clear that cloud is here to stay and will continue to be top of mind for organizations of all sizes for years to come. To have a successful cloud strategy, not only is it important to know how other organizations are successfully migrating their architecture, but also how they are handling operations once they make the switch.
However, moving to and operating in the cloud successfully is not as easy as purchasing some public cloud credits and calling it a day. There are many common challenges that organizations face as they move to be cloud-first. By understanding more about these challenges, organizations can avoid expensive consequences.
Join this session to learn about:
Top trends in cloud migration and computing
Common challenges that organizations face as they move to a cloud-first approach
Consequences that organizations face when they mishandle cloud adoption
The Value of Data Leadership and Expertise in Sustainability Programs
There is a shift in enterprise data strategy due to the increased importance of sustainability practices such as ESG reporting, climate action, circular economy, and social responsibility in both the public and private sectors.
The future of these programs is dependent on creating the right data-driven initiatives to create an intelligent, sustainable enterprise. Join a live conversation between Ridwan Bhuiyan (Team Lead Data and Analytics for Sustainability at Zalando) and Tina Rosario (Chief Data Officer for EMEA at SAP) as they discuss the role of data management and leadership in sustainability programs.
During this webinar, we will cover:
What are typical data management capabilities and organization required for sustainability?
What are the data standards and security challenges?
What are typical data sources and the role of data sharing?
What are the capabilities needed for sustainability reporting?
Practical application of knowledge graphs using EDM Council’s CDMC information model
Everyone is talking about Knowledge Graphs while most organizations are struggling to understand how to build and implement new knowledge graph capabilities in their organizations. Just like the rapid explosion in data complexity and volume, the adoption of knowledge graphs is also rapidly exploding, given it is the only scalable way to manage enterprise data across distributed platforms (cloud, data lakes, data warehouses) that provide faster, more reliable, semantically consistent and predictable decisions for business.
Knowledge Graphs are also the key enablers to ML and AI that bridge data across complex silo data domains. The importance of adopting Knowledge Graphs is further highlighted by recent Gartner research that states “by 2025, graph technologies will be used by 80% of D&A innovations, up from 10% in 2021.”
EDM Council recognizes the urgent need to bring this new knowledge graph architecture and approach to its members and beyond. During this webinar, we will provide an update on our exciting new knowledge graph developments currently ongoing for our growing knowledge graph community.
In this webinar, we will provide updates on:
EDM Council’s Information Model (knowledge graph) as presented by the current EDM Council Information Model User Committee
The CDMC Information Model (knowledge graph); How it has been built, developed, and shows live practical examples of the Information Model Graph in action
How to read the Information Model (knowledge graph) – moving from human-readable data models to machine-readable
How the CDMC knowledge graph is used to enable Data Fabric at BT and CDMC adoption
Invitation to join the EDM Council’s new Information Model (knowledge graph) working group
How to get started with CDMC on Microsoft’s platform today
Join our upcoming webinar with industry experts from Microsoft to learn how the Cloud Data Management Capabilities (CDMC) framework maps into Microsoft’s platform capabilities. Our speaker will share insights about their journey in completing their certification of the CDMC 14 Key Controls and Automations, conducted by Accenture and Avanade.
CDMC is a comprehensive framework of capabilities, requirements, controls, and guidance to achieve best practices for cloud data management. The panel will discuss how CDMC is supporting Microsoft’s efforts to enable their clients’ digital transformation for the era of an intelligent cloud, and what the business results are.
During the webinar we will cover:
Microsoft’s journey to achieving certification of the CDMC framework
How the CDMC is supported by Microsoft’s platform capabilities
The business case and benefits for CDMC
Getting started today
How to Build Data Analytics at Scale
Large analytics organisations have a big reliance on data management activities in order to get timely and reliable outcomes. The 8th component of DCAM ‘Analytics Management’ brings to life the interconnectedness between data management and data analytics, covering the culture, skills, platform, and governance to enable organisations to obtain business value from analytics.
Data analytics is becoming foundational to driving business value in financial services. There is growing demand for the industrialisation of data overlaid with analytics capabilities to derive business insights and to drive strategic actions. However, scalability, flexibility, data governance and quality remain huge challenges that firms are looking to solve in parallel.
EDM Council and Capco are inviting leading experts from consulting and financial services to discuss the various challenges and how to mitigate them. We will discuss the capabilities, technology and processes required to deploy data analytics at scale. We will also showcase different organisation constructs where analytics has been thriving.
Data Economics with YDC and Northwest Bank: Quantifying the Financial Value of All Things Data
Enlightened CDOs have the opportunity to grow market capitalization (publicly traded companies) or to drive incremental stakeholder alignment (non-public organizations) based on the hidden value of data. Intangibles make up more than 80% of the Enterprise Value of S&P 500 Companies. Traditional definitions of intangibles include goodwill, customer lists and intellectual property BUT DO NOT include data.
Join us to hear how forward-thinking CDOs are using data economics to drive quantifiable financial value for their organizations.
During this webinar, industry experts will cover approaches to quantify the value of different types of data:
Data Products including offensive and defensive capabilities
Data Initiatives such as data literacy, data quality and data lake
Critical Data Elements supporting data governance
Reports to support regulatory and analytical use cases
People to highlight team members and stewards who are key contributors to the data program
EDM Association Completes Acquisition of Assets of OMG
The combination of the two organizations creates the world's largest data and standards community.
