Day 1

Day 1 of the summit is dedicated to laying the groundwork for a data-driven future, featuring in-depth discussions on decision-making frameworks, data governance, and the integral role of Artificial Intelligence and Machine Learning.

Registrations (Day 1)


Opening Remarks

  • Overview of the summit’s purpose, structure, and key themes of the day.

Track 1: Strategic Leadership and Data-Driven Culture


The Imperative of Data-Driven Decision Making

  • Emphasizing the competitive edge gained through data-driven strategies.
  • Case studies of successful data-driven transformations in enterprises.
  • Discussing the integration of data analytics into strategic decision-making processes.
BIAAS2024 Speaker - Lei Pan
Dr. Lei Pan

Data Literacy as an accelerator of Digital Transformation at IKEA.

  • Data as the fuel of digital transformation.
  • Significance of data literacy in digital transformation.
  • Challenges and solutions on our data literacy journey.
BIAAS2024 Speaker - Olivier Maugain
Olivier Maugain

Track 2: Data Management and Governance


Next-Gen Data Governance in an AI World

  • Redefining data governance in the age of AI and machine learning.
  • AI’s role in enhancing data quality and compliance.
  • Future-forward governance frameworks integrating AI.

Coffee Break and Networking


Data Democratisation – wefox’s journey to Self-Service Analytics.

  • wefox’s rationale behind the shift towards Data Democratisation and Self-Service Analytics.
  • wefox’s Self Service Data Platform – An overview.
  • Achieving organisation-wide adoption: The real challenge and the winning strategy.
  • 5 points to consider before attempting Self-Service Analytics in your organisation.
BIAAS2024 Speaker - Evgeni Hasin
Evgeni Hasin

Navigating the Data Landscape – Governance, Quality, and Integrity

  • Interactive discussion with industry leaders on the evolving data governance landscape.
  • Insights into maintaining data quality and integrity in complex data environments.
  • Best practices for establishing a culture of data governance within organizations.

Privacy and Security in the Modern Data Ecosystem

  • Navigating the complexities of data privacy and security.
  • Latest technologies and policies for safeguarding sensitive information.
  • Balancing data utility with privacy concerns.

Networking Lunch

Track 3: Advanced Analytics and AI/ML Implementation


Predictive Analytics and Big Data: Strategies for Competitive Advantage

  • Leveraging big data for predictive insights and proactive business planning.
  • Techniques for processing and analyzing large datasets effectively.
  • Real-world examples of predictive analytics driving business outcomes.

Delighting Customers – Driven by Data Analytics & AI

  • As an assistance and insurance company, it is essential for Allianz Partners to support our customers in critical situations when they need us the most and provide them with an impeccable and seamless service. 
  • Measuring customer satisfaction is therefore key to further enhance and improve our processes and services. 
  • Using data analytics and AI we identify major pain points as well as improvement levers and quantify the impact of the proposed actions. At the same time, data analytics and AI are also at the core of many such improvement actions, e.g., to reduce wait times on the phone.
BIAAS2024 Speaker - Dr. Eike Brechmann,
Dr. Eike Brechmann
Allianz Partners

Transforming Business Intelligence with Large Language Models (LLMs)

  • Impact of LLMs on data analytics.
  • Applications and integration strategies for LLMs.
  • Future trajectory and decision-making impact.

Coffee Break and Networking


Transforming Data into Decisions: The Art of Visualization

  • Understanding the principles behind effective data visualization designs.
  • How visual analytics can enhance comprehension and decision-making.
  • Tips for tailoring data stories to different audiences and stakeholders.
  • Future trends in data visualization technology and methodologies.

Exploring the Potential of Generative AI in Business

  • Unpacking the capabilities and applications of Generative AI in various industries.
  • Ethical considerations and challenges in deploying generative models.
  • Future outlook and potential transformative impacts on businesses.

Implementing NLP in BI to Drive User Engagement and Insight Extraction

  • Hands-on exercises on incorporating NLP in BI for technical/non-technical users.
  • Demonstrations of NLP tools for automating insight generation from data.
  • Discussion on the future of NLP and conversational analytics in business environments.

Day 1 – Closing Remarks

Cocktail Reception


Day 2

Day 2 of the Business Intelligence and Analytics Summit 2024 delves into the latest trends on Cloud and Edge Computing. Attend sessions to explore how emerging technologies can be leveraged to enhance customer engagement and prepare for the evolving landscape of work and technology.

Registrations (Day 2)


Opening Remarks

  • Setting the stage for Day 2 of the summit.

Track 4: Cloud and Edge Computing for Analytics Excellence


Leveraging Cloud-based BI for Scalability and Agility

  • Understanding the importance of cloud-based BI solutions in achieving scalability and flexibility in data handling.
  • Evaluating how cloud BI tools can accelerate data processing and improve accessibility for organizations of all sizes.
  • Discussing security and privacy implications in the cloud and best practices for secure data management.

Optimizing with Hybrid Cloud Solutions

  • Navigating the synergy between cloud and on-premises infrastructure.
  • Crafting strategies for seamless hybrid cloud integrations.
  • Balancing cost, security, and operational efficiency in hybrid environments.

Unleashing Potential with Edge Computing in Data Analytics

  • Understanding edge computing’s role in enhancing local data processing.
  • The critical advantage of edge computing in delivering faster, real-time insights.
  • Future prospects and innovations in edge computing technology.

Coffee Break and Networking


The Intersection of BI and IoT: Real-Time Analytics in Action

  • Exploring the integration of Business Intelligence (BI) with the Internet of Things (IoT) to harness real-time data.
  • Examining case studies where IoT has enhanced BI capabilities, enabling faster and more accurate decision-making.
  • Discussing the challenges and strategies in managing and analyzing vast data streams from IoT devices.

Track 5: Customer-Centric Analytics and Engagement


Decoding Customer Data for Deeper Insights

  • Strategies for implementing analytics-driven personalization across customer segments.
  • Challenges and solutions in achieving large-scale, effective personalization.
  • Success stories of businesses transforming through tailored customer experiences.

Personalization at Scale Powered by Analytics

  • Strategies for implementing analytics-driven personalization across customer segments.
  • Challenges and solutions in achieving large-scale, effective personalization.
  • Success stories of businesses transforming through tailored customer experiences.

Networking Lunch


Predictive Analytics for Proactive Customer Engagement

  • Ethical implications of AI in the workplace.
  • Balancing innovation with ethical considerations.
  • Future challenges in ethical tech deployment.

Track 6: Ethics, Future of Work, and Emerging Tech Trends


Ethics and Responsibility in Customer Data Use

  • Addressing ethical considerations in utilizing customer data.
  • Balancing customer privacy with data-driven insights.
  • Developing frameworks for responsible data use.

Analytics for a Better World: Unlocking the potential of analytics for people who make the world a better place.

  • Story of ABW- a non-profit community of leading data science experts dedicated to bridge the gap between data science technology and mission-driven work.
  • Impact cases from Ocean Cleanup, Red Cross, Amref and WFP.

Day 2 – Closing Remarks

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