Join Reema Vadoliya as she explores the transformative potential of inclusive data practices in shaping a more equitable future. Reema delves into the challenges faced across the data industry and society, drawing from her personal experiences and insights. Through practical examples and case studies, she demonstrates how challenging bias in AI begins with fostering inclusivity and representation in data collection. By envisioning a future where data is crafted with inclusivity in mind, Reema inspires participants to embark on a journey towards building a more ethical and inclusive AI ecosystem. Key Takeaways: - Empowering Data Practices: Reema highlights the transformative potential of inclusive data practices, empowering organisations to challenge bias in AI through prioritising inclusivity and consent in data collection - Insightful Data Insights: Reema demonstrates how inclusive data practices lead to impactful insights, showing attendees how embracing diversity in data collection results in higher response rates and deeper audience understanding. - Vision for Ethical AI: Reema inspires attendees to envision a future where data is crafted with inclusivity, fostering fairness and transparency in data-driven decision-making to drive towards an ethical and equitable AI ecosystem.

In the last decade data has served as a guide to learn from the past, make decisions in the present and the drive insights for the future. The Art of possible that ChatGPT demonstrated in 2023 Channeled investments towards improving data capabilities. Peer competition, emergence of challenger organisations, advance analytics has increased customer expectation and exerted increased pressure on data analysis and exploration . 

These increased expectations has translated into new way of working with data and has demanded teams to be more data driven. This has resulted in emergence of data risk. No matter the expectation there is always a boundary on what data can deliver and cannot deliver. This boundary is directly related to the original intent of data collection and organisational data policies, risk policies and risk appetite. As all part of the organisation touch data and it has become increasingly challenging to mitigate data risks. Acknowledging this major Banks have elevated data risk to Principle risk. This has allowed data office to have more control on how data is being used and accessed within an organisation and most importantly embed business accountability for data as required by most regulations such as BCBS239, GDRP expect. 

In this 30 minutes we will explore 

• What is Data Risk? 
• How to identify Data Risk and design Data Risk Taxonomy? 
• Who are the key stakeholders within an organisation responsible to mitigating data risk? 
• How to design risk appetite for Data Risk? 
• Explore how key data risk controls should look like?

Join us as we unlock the secrets of data-driven strategies that drive profit, loyalty, and hyper-personalised experiences, with Capgemini and a Women in Data leadership panel.

At this year’s Big Data London, Women in Data & Capgemini are back with another must-see panel, featuring a diverse and engaging group of female data leaders and their allies from across the Retail & CPG worlds. Last year’s session was one of the most oversubscribed events of the day, with standing room only, thanks to its thought-provoking and honest discussions. This year’s panel promises the same dynamic as they tackle the conundrum of balancing margin focus with rewarding customer loyalty and how data plays a key role. 

The panellists, as well as sharing their own career journeys and experience, will explore how they’ve approached bold strategies that move beyond immediate profits to emphasise the long-term value of customer data and loyalty. They’ll explore how data, analytics & ai can uncover deep insights into customer behaviours and preferences, enabling brands to create personalised experiences and loyalty programs that boost engagement and build lasting trust. 

The discussion will highlight the importance of seeing customer data as a strategic asset. By investing in data collection and analysis, companies can identify trends, predict future behaviours, and tailor their offerings to meet evolving customer needs. This approach can drive repeat business and increase customer lifetime value, ultimately leading to higher margins over time. 

This year’s panel will explore the how data and boldness are key for a balanced strategy that blends margin management with a robust focus on customer loyalty. Using data smartly is key to achieving sustainable profit growth and strengthening brand loyalty. Don’t miss out on what promises to be an inspiring and insightful discussion! 

In the wake of the Corporate Sustainability Reporting Directive (CSRD), organisations are tasked with enhancing their ESG data management and reporting frameworks. This presentation will guide data leaders through the complexities of CSRD compliance, focusing on the pivotal role of effective ESG data governance. We will explore the three core challenges:

1. Double Materiality Assessments: Evaluating both financial and impact materiality to align with regulatory expectations.

2. Comprehensive ESG Data Collection: Sourcing data across the entire business ecosystem to ensure comprehensive reporting.

3. External Assurance: Ensuring third-party certification of ESG reports, highlighting the importance of data accuracy and governance.

Attendees will gain practical insights into implementing a logical data management approach that addresses these challenges, while also aligning ESG data practices with broader enterprise data strategies.