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Drive Successful ESG Initiatives with Trusted Data
24 Mar 2023•0 j'aime•62 vues
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Organizations are adjusting their business processes to align with environmental, social, and governance (ESG) goals driven by new business opportunities, aggressive governmental regulations, and consumer & societal expectations. As a result, it’s becoming imperative for organizations to quantify their ESG efforts accurately. Businesses must seamlessly and efficiently identify, extract, and aggregate the granular data necessary to produce impactful ESG reports. An organization’s ability to achieve this greatly depends on having access to high-quality, trustworthy information. Still, they find their data incomplete, unstandardized, or lacking sufficient insight for the deep level of reporting required. To move faster, remain compliant, and accurately demonstrate and quantify commitment to ESG initiatives, an organization’s data strategy must prioritize data integrity – or data that is accurate, consistent, and contextualized. Join us for this informative webinar regarding data integrity and its importance to corporate ESG initiatives. We will cover the following topics: Significant ESG concerns and issues Explain why complete, accurate, and actionable ESG data is critical for ESG reporting Data and IT processes to meet requirements for corporate ESG tracking and reporting An overview of how Vontobel has embedded ESG into their business operations
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Drive Successful ESG Initiatives with Trusted Data
- Drive Successful ESG Initiatives with Trusted Data March 23, 2023 Christina Schack – Head of Data Operations & Strategy, Vontobel Aisan Baird – VP, Solution Engineering, Precisely Antonio Cotroneo – Senior Product Marketing Manager, Precisely
- Housekeeping Webinar Audio • Today’s webcast audio is streamed through your computer speakers • If you need technical assistance with the web interface or audio, please reach out to us using the Q&A box Questions Welcome • Submit your questions at any time during the presentation using the Q&A box. If we don't get to your question, we will follow-up via email Recording and slides • This webinar is being recorded. You will receive an email following the webinar with a link to the recording and slides
- Speakers Christina Schack Head of Data Operations & Strategy at Vontobel Aisan Baird VP, Solution Engineering at Precisely Antonio Cotroneo Sr Product Marketing Mgr. at Precisely
- Agenda • Why is ESG important? • ESG impacts the bottom line • The full scope of ESG reporting • ESG goals and corporate KPI alignment • Challenges trusting ESG reporting data • Data Integrity’s importance to ESG initiatives • Conversation with Vontobel’s Christina Schack • The bottom line: ESG is good for business Environmental Overall impact and responsibility. Social Management and interaction with people, other businesses, and cultures. Governance Accurate and transparent internal procedures.
- 5 and Assessment of the robustness of a company's governance mechanisms and its ability to effectively manage its environmental and social impacts Overall impact and responsibility. Management and interaction with people, other businesses, and cultures. Accurate and transparent internal procedures.
- >85% Why ESG is important of INVESTORS considered ESG factors in their investments of EMPLOYEES prefer to support or work for companies that care about the same issues they do of CONSUMERS think companies should be actively shaping ESG best practices
- ESG impacts the bottom line 49% of revenues of the 1,200 largest global companies come from business activities that support Sustainable Development Goals [S&P Global] ESG strategies can affect operating profits by up to 60% [McKinsey] 64% of asset managers were concerned about a lack of transparency and corporate disclosure on firms' ESG activities [Index Industry Association]
- Environmental Overall environmental impact and responsibility • Toxic waste and pollution • Natural resource depletion • Deforestation • Greenhouse gas emissions • Direct and indirect • Harmful or unsustainable agriculture practices • Mistreatment of animals Social Relationships with and impacts upon internal and external stakeholders • Employee relations and diversity • Working conditions • Impacts on local communities • Health and safety • Data protection and privacy • Conflict resolution • Diversity and inclusion in hiring and promotion • Minority/women’s rights • Anti-discrimination, wage fairness, and equality • Forced/slave labor Governance KPIs and data related to assurance of legal, ethical, and transparent management of a company • Financial transparency • Regulatory compliance and reporting • Executive pay practices • Tax strategy • Donations/political lobbying • Anti-Corruption and bribery • Ethical data sourcing, enrichment, and management The full scope of ESG reporting
- Data to minimize risk Data to deliver insights Data to run the business REPORTING & COMPLIANCE ANALYTICS & INSIGHTS OPERATIONAL EXCELLENCE Data protection Risk and fraud Privacy ESG Regulatory compliance Internal reporting Net Promoter Score Website traffic Targeted marketing Customer retention Resource trends Customer 360° view Improve working capital Customer care SAP S/4HANA migration Inbound quality levels Product traceability E2E SCM Historically viewed as data to minimize risk
- Data to minimize risk Data to deliver insights Data to run the business REPORTING & COMPLIANCE ANALYTICS & INSIGHTS OPERATIONAL EXCELLENCE Net Promoter Score Website traffic Targeted marketing Customer retention Resource Analytics Customer 360° view Improve working capital Customer care SAP S/4HANA migration Inbound quality levels Product traceability E2E SCM Data protection Risk and fraud Privacy ESG Regulatory compliance Internal reporting ESG goals and corporate KPI alignment
- of data practitioners completely trust their data of data practitioners strongly believe their actions are driven by data analysis 30% 27% Challenges trusting ESG reporting data Can’t get it fast enough Don’t understand it Can’t trust it Don’t have the context to use it Don’t know when it’s going to break Source: IDC
- For trusted data, you need data integrity Data integrity is data with maximum accuracy, consistency, and context for confident business decision-making Data Integrity
- Same data problems exist in new data clouds Precisely has a unique vision for data integrity Data owned by IT Business & IT collaboration Slow, batch ETL processes Streaming data pipelines Data brought to the solution Data integrity processes run where the data is Separate business & IT metadata Shared catalog of technical & business metadata Massive, loosely integrated products Flexible, modular, interoperable solution Rules-based data management AI-driven rules, alerts, and enrichment Differentiated vision for modern data integrity
- Data Integration Data Observability Data Quality Geo Addressing Spatial Analytics Data Governance Data Enrichment Data Integrity Foundation APIs / SDKs AGENTS DATA CATALOG INTELLIGENCE DATA FLOW DESIGNER Enterprise Business Systems • Enterprise apps • Analytics tools • Precisely industry apps • BI dashboards • AI/ML Enterprise Data Sources • Business Intelligence • CRM • Workforce mgmt. • Data warehouse • ERP • Billing
- Ensuring trust in ESG data for confident decisions Christina Schack Head of Data Operations & Strategy at Vontobel Aisan Baird VP, Solution Engineering at Precisely
- The Bottom Line: ESG is Good for Business • Rededication of efforts to achieve excellence in the foundational business practices that have consistently proven profitable • Attention to quality and efficiency • The willingness to admit and address mistakes • Fairness and honesty in all business relationships • Keeping long-term profitability in mind when making investment decisions • Data integrity yields real, tangible gains in operational efficiency and actionable insights, resulting in improvements to the bottom line
- Questions?
Notes de l'éditeur
- Thanks, Aleka, and good day everyone. We have a great deal of content to cover in a short amount of time. Here’s a brief agenda for today’s session. First, we’ll touch on the importance of ESG and its impacts on the bottom line. Then we’ll review the full scope of ESG reporting and alignment to corporate goals. We’ll then discuss Data Integrity and its importance to ESG initiatives before turning it over to Aisan and Christina for a conversation on how Vontobel tackles its ESG goals with trusted data. Following their conversation, we’ll wrap things up and open for questions. Let’s get started.
- A very quick definition for those unaware…
- In recent decades, large organizations’ ESG practices have become key business concerns requiring direct, active, and sustained attention from executive management. Far from simply managing corporate brand image, how an organization addresses ESG concerns can directly impact its hiring practices, profitability, legal liabilities, and even its fundamental ability to do business. While governments are beginning to introduce formal ESG reporting regulations, the increased scrutiny of corporate ESG impacts is driven by growing public demand. Companies worldwide are expected to be responsible stewards of the environment, treat employees and communities with respect and fairness, and be financially and ethically trustworthy corporate citizens.
- Under current ESG reporting frameworks and laws, the range of ESG issues included and the level of detail at which they are being evaluated are expanding rapidly. Here are just a few examples of top-level topics and issues included in many ESG reporting frameworks and regulations:
- Historically reporting on different compliance requirements, including but not limited to environmental, social, and governance metrics were executed to minimize risk in different parts of the organization.
- With the intense focus on ESG metrics, organizations are anxious to better understand how ESG data impacts other business processes to deliver greater insights and run their business more optimally. (Click) Clearly identifying what data assets are leveraged for ESG metrics, and understanding their meaning and relationships to other business objectives delivers expanded value to an organization. This results in more immediate identification of risks, and more timely response to trends and insights that could benefit the organization, not just around ESG reporting, but around other critical business operations. Many organizations have strategically defined ESG goals that align with corporate KPIs and metrics. Determining where greater visibility into ESG data can avoid undue risk and liability – or even improve business outcomes – helps to build the business case for more robust, verifiable ESG reporting. The Head of Sustainability & Resilience at a leading international reinsurance agency is committed to embed & align ESG practices with their corporate strategy – or be ‘zealously pragmatic’ in their approach.”
- The core challenge is that the data needed for ESG reporting does not exist in friendly, compact, ready-to-ingest packages. The very nature of the subjects at hand, namely Environmental concerns, Social responsibility, and organizational Governance, means that the data required for reporting are diverse and dispersed: qualitative as well as quantitative; structured and unstructured; and are stored on a wide range of platforms and in widely varying formats. Unfortunately, those within the organization closest to the data can’t trust it for various reasons. For instance, they… “Can’t get it fast enough” Trapped in complex, legacy systems Not available when & where it’s needed Not as fresh as business demands “Don’t understand it” Don’t understand the lineage of data Don’t know how it’s used by the business Don’t have accountability around data changes “Can’t trust it” Full of errors Non-standardized “Don’t have the context to use it” Lacking the 3rd party data and location context needed for decision-making “Don’t know when it’s going to break” Downtime comes as a surprise Anomalies unexpectedly impact the business downstream The true root cause of data problems is unidentified Fortunately, you are not alone. Every day, we talk to companies like yours who are struggling to meet their data-driven business goals - because their data is a mess. Source for stats on left side IDC Spotlight: Improving Data Integrity and Trust Through Transparency and Enrichment Written by: Stewart Bond, Research Director, Data Integration and Intelligence Software
- To achieve your goals, you need what we call data integrity. Data integrity is data with maximum accuracy, consistency, completeness, and context for confident business decision-making.
- Most businesses have turned to the cloud. This has been a significant shift and it has happened fast. In the 2010s, remember how hard it was to get infrastructure? It would take months! And then Amazon came along and made it easy to get infrastructure in minutes by swiping your credit card. We know this as “the infrastructure cloud.” And then you had two companies – Databricks and Snowflake – who used the same concept to make it easy for people to get access to data pipelines in minutes. And they built their platforms on AWS, Azure, and Google. We call this the “data cloud” But we know that data integrity challenges remain in the data cloud. And just like the data cloud was built on the infrastructure cloud, the data integrity cloud needs to run on top of the data cloud. We have imagined data integrity in the cloud in an innovative way that gives people access to data integrity in minutes. Let me walk through our vision for data integrity. Customers struggle with data just being owned by IT. We’ve imagined a new way where collaboration between IT and business users is seamless. And everyone has wrestled with slow, batch ETL access to data. We think data should be delivered in real time in the cloud. In the old way, people have had to work with multiple copies of their data – one copy for MDM, data governance, data quality, and on and on. Well, we’ve imaged a different way… where you run data integrity processes wherever the data is… on Snowflake, Databricks, or even on-prem. And quite often organizations don’t have a holistic understanding of where their data comes from, how it’s used, and what it impacts. We imagine a different way where all a company’s metadata is shared in a single, scalable catalog. And heavy platforms aren’t what organizations want. Our vision is to let folks choose just what they need… and have those capabilities work well together. And finally, businesses have spent a ton of time manually creating rules for quality, enrichment, and governance. We imagine a different way… where AI creates those rules and maintains those rules over time – saving hours of productivity. That’s our vision of data integrity in the cloud.
- We’re bringing that vision to life in the Precisely Data Integrity Suite. The modular, interoperable Precisely Data Integrity Suite contains everything you need to deliver accurate, consistent, contextual data to your business - wherever and whenever it’s needed. Data Integration: Break down data silos by quickly building modern data pipelines that drive innovation Data Observability: Proactively uncover data anomalies and act before they become costly downstream issues Data Governance: Manage data policy and processes with greater insight into your data’s meaning, lineage, and impact Data Quality: Deliver data that is accurate, consistent, and fit for purpose across operational and analytical systems Geo Addressing: Verify, standardize, cleanse, and geocode addresses to unlock valuable context for more informed decision making Spatial Analytics: Derive and visualize spatial relationships hidden in your data to reveal critical context for better decisions Data Enrichment: Enrich your business data with expertly curated datasets containing thousands of attributes for faster, confident decisions • Data Integration capabilities for capturing and organizing ESG data from multiple sources and making it available in real-time • Data Enrichment for combining and aligning your fundamental ESG data with additional data sets to add context and meaning, such as geographic, demographic, or economic data • Data Governance for positive control over data storage, access, use, exchange between systems, etc., while maintaining privacy, security, and compliance with essential government regulations • Data Quality standards and controls to ensure all data, including ESG data, is always accurate, complete, and consistent, wherever it is stored and used throughout the organization
- Now I’ll turn it over to Aisan and Christina for a conversation on how Vontobel is tackling ESG initiatives with trusted data.
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