Data & Analytics Congres 2024

On the 7th of November 2024, the Data & Insights Network organizes the seventh Data & Analytics Congress. Top (inter)national speakers will share their vision and practical tips with an audience of around 300 data specialists, Data-specialists, Data Engineers, Data Analysts, Data Scientists, Machine Learning Engineers, Data & Insights professionals, Online Data Driven marketeers, Business Translators and Product owners.

Topics:

  • Data Strategy & Engineering
  • AI & Ethical AI
  • Data Assets I Synthetics Data I AI & Sentiment Analyses
  • Data Analytics LLM’s I Marketing Mix Modelling
  • Value creation I Validation
  • Data Analytics Showcases

Order your ticket and join 250 enthusiastic, Data specialists, Onlinemarketers, E-commerce specialists and managers, Business translators and managers, Digital datamanagers, Managers of data and optimization teams and Product owners.  

Discover our program below

Program

8.45 – 9.15  Doors open   

9.20 – 9.30  Welcome by chairman Rianne van der Loo

9.30 – 10.10  Keynote Sports & Analytics

Mainstage [UK] Global football insights: FIFA’s data approach I FIFA & Jaaf Information Design

Join us as Jaaf Information Design and FIFA explore FIFA’s groundbreaking approach to making extensive global football data accessible and impactful.
By collaborating with diverse teams and producing multilingual, visually engaging reports, FIFA enhances the sport’s development worldwide.
Discover how innovative data design and strategic insights drive the evolution of football, ensuring transparency and shared benefits for all stakeholders.

Esther Rookhuijzen (Director @ Jaaf Information Design) & Max Vykder (Head of Football Development Operations @FIFA)

https://ch.linkedin.com/in/estherrookhuijzen
https://ch.linkedin.com/in/max-de-vylder

10.15 – 10.55 Keynote Fraud Prevention

Mainstage [UK] Leveraging Data to Prevent Fraud I Danone

The Vault project has been Danone’s internal initiative in response to the increasing risk of fraud in relation to supplier bank details.

Fraud prevention relies on data as a vital foundation and facilitator.
Data that is correct and reliable improves the security of end-to-end processes, creating more barriers against fraud and safeguarding assets. Data also enables the use of advanced technology: by leveraging various kinds of Data, cutting-edge technology can operate at scale and help companies achieve 0 fraud goal.

At Danone, through a dedicated project named “Vault” we have successfully addressed the dynamic model of Data-Process-Technology to step change our security measures.

Mauro Portela (Managing Director Global Master Data Operations @Danone)

https://www.linkedin.com/in/mportela/

10.55 – 11.30  Break

11.30 – 11.50  Data Assets I Synthetics Data I AI & Sentiment Analyses

Stage 1 [NL] Anders kijken, meer zien: Zo haalt de politie meer rendement uit (operationele) data I Nationale Politie l Team Rendement Operationele Informatie

De digitalisering van de maatschappij heeft ook het politiewerk veranderd, met een aanzienlijke toename van data. Hoe benut je deze data effectief voor politiewerk? Met TROI (Team Rendement Operationele Informatie) ondersteunen we zaken en bouwen we operationele applicaties. In deze workshop bespreken we de werkwijze van TROI en hoe ze waarde creëren met data voor het politiewerk.

Spreker: Dominique Roest (Team Rendement Operationele Informatie @Politie)

https://www.linkedin.com/in/dominique-roest-926b11162/

Stage 2 [NL] Data & de digitale maatschappelijke kloof I Alliantie Digitaal Samenleven I Beeld & Geluid

Deze presentatie bestaat uit 3 onderdelen van ieder 15 minuten. Data en de mens staan centraal maar steeds vanuit een ander perspectief.

1. Data & de digitale kloof I Hoe krijgt iedereen in Nederland dezelfde kansen om de mogelijkheden van data in te zetten?

2. AI & de mens I Positieve impact van AI: voorbeeld hoe AI positief effect kan hebben op de mens. Negatieve impact van AI: toeslagenaffaire is voorbeeld hoe AI negatief effect kan hebben op de mens

3. Data & Nalatenschap I Digitaal nalatenschap. Hoe gaat mensen om met hun data na hun dood en wat kan men doen om dat te regelen (en welke rol hebben bedrijven hierin).

Spreker: Merit van Breukelen (Programmamanager Alliantie Digitaal Samenleven)

https://www.linkedin.com/in/merit-van-breukelen-0785894/?originalSubdomain=nl

Stage 3 [UK] Differential Privacy & Data Science I Erasmus University

Consumers are more aware of privacy threats, and stricter regulations are being enacted. Privacy protection often requires sacrificing insights or profit, making it impossible to achieve both perfectly. In this lecture, I will show how to quantify customers’ privacy risk and navigate this trade-off, discuss the limitations of synthetic data, and provide solutions for data collection, sharing, and targeting.

Gilian Ponte (Assistant Professor in Marketing @Rotterdam School of Management, Erasmus University)

https://www.linkedin.com/in/gilianponte/

Stage 4 [ENG] A data driven system for exploring labor market information trough Hybrid AI I UWV

We aim to create CompetentNL, a national skills standard for the Netherlands that links skills to education through linked open data. This standard addresses the labor market mismatch between employers and job seekers by enhancing transparency and mediation. CompetentNL uses an ontology supported by hybrid AI and the WordGraph2Vec algorithm from Statistics Netherlands (CBS) to match skills from vacancy texts with validated expert skills. We are designing a graph database to facilitate future querying and comparison of skills, education, and ISCO and ESCO standards.

Leyla elkhamlichi (Senior Data scientist @UWV)

https://www.linkedin.com/in/leyla-el-khamlichi-313009100/

12.00 – 12.20  AI Application to Data & Insights

Stage 1 [UK] Learn from an AI analyses of 5000 Ads. What did we learn. What can you use tomorrow. I Alpha.one

In today’s digital marketing, capturing and retaining audience attention is crucial. This session analyzes over 5000 ads with advanced AI to explore how attention and brain processing impact branding, the dynamics of digital video ads, and the significance of connected TV. Attendees will gain practical insights into optimizing ad strategies and navigating marketing challenges in this evolving landscape.

Coen Olde Olthof (CEO @Alpha.one)

https://www.linkedin.com/in/coenoldeolthof/

Stage 2 [NL] Letterlijk in gesprek met je persona’s, door inzet van Open AI en het BSR-lifestyle segmentatiemodel I MarketResponse

Herken je deze situatie? Je hebt persona’s geformuleerd, verrijkte data en een manual voor je communicatie, maar vraagt je af: waarom niet direct met je persona’s in gesprek gaan?

MarketResponse ontwikkelde de BSR-Bot, een combinatie van hun kennis en een Large Language Model/Open AI-omgeving. Deze snel ontwikkelende technologie biedt veel toepassingen. In deze sessie legt Theo uit hoe je echt in gesprek kunt met je persona’s.

Theo van der Steen (Operationeel Directeur @MarketResponse)

https://www.linkedin.com/in/underlined/

Stage 3 [UK] Project Picard: Logistics Will Be Simulated. Resistance Is Futile I Royal FloraHolland

Picard is all about simulating our warehouse, the people working in it and our logistics IT. We use it to make data driven decisions to improve our processes and to validate the next steps that we are taking as a logistics company.

Femke Hulsbergen (Product Owner Market Intelligence @ Royal FloraHolland) & Dirk Guijt (Lead Data scientist @ Royal FloraHolland)

https://www.linkedin.com/in/femke-hulsbergen-sletering-690a683
https://www.linkedin.com/in/dirkguijt

Stage 4 [UK] How to leverage genAI for increasing the strategic relevance of qual I data IQ AG

Generative AI will augment the strategic importance and the added value of qualitative research in both marketing and NPD. The lecture will analyse three aspects of genAI in qual: First, what will be replaced by genAI, second, what are completely new ways of providing qual insights, and third, what will still be up to the human brain. The presentation will be based on a real use case of improving the loyalty of health insurance customers via qualitative insights.

Stefan Oglesby (CEO @Data IQ AG)
https://www.linkedin.com/in/stefan-oglesby/

12.30 – 12.50  Data Analytics LLM’s I Marketing Mix Modelling 

Stage 1 [UK] Flying High with Data: Air France KLM’s Journey to Marketing Mix Modeling I KLM

Discover how Air France KLM is revolutionizing its marketing strategy together with partner Ekimetrics, using a Marketing Mix Model. This session will delve into the airline’s step-by-step process, from partner selection to data collection to data-driven decision-making that optimize their marketing efforts.Learn about the challenges faced, solutions found, and type of insights gained, offering valuable insights for any business aiming to enhance its marketing business.

Frie Roijers (MMM PRogram Lead @KLM)

www.linkedin.com/in/frieroijers

Stage 2 [UK] What are best practices while setting up a solution for GenAI within the Enterprise I Databricks

Step into the world of rapid Generative AI application development for your Enterprise. We’ll explore the suite of tools required to do this to create and maintain high-quality AI applications, cutting down the path to production. Also, we will cover best practices to get started and learn why proper Data Governance is critical to do GenAI at scale.

Ivo Everts (Senior Strategic Architect @Databricks) & Victor van den Broek (Solution Architect @Databricks)

https://www.linkedin.com/in/ivo-everts/
LinkedIn: https://www.linkedin.com/in/victorvdb/

Stage 3 [UK] Heart not Hype: What we learned building an AI interviewer I Tellet

So far we have run thousands of interviews and worked with many, many clients. We learned a lot. We will share our learnings and our client’s feedback on this new conversational AI approach to do qual research at the scale of quant.

1. What are interesting use cases for conversational AI interviewing
2. What are 3 major learnings in setting up such an interview
3. What does it take to start your first project tomorrow? (and have results in two days)

Merik te Grotenhuis (CEO Tellet)

https://www.linkedin.com/in/meriktegrotenhuis/

Stage 4 [UK] Who is better for Text Analysis? ChatGPT vs Trained AI Model I Survalyzer

Have you ever wondered how exactly ChatGPT understands and categorizes open feedback? Dive into the world of generative AI by comparing the capabilities of ChatGPT and trainable AI models in categorizing text analysis based on real responses.

1. Lean how to measure the quality of categorizing open responses.
2. Learn about the limitations of ChatGPT for categorizing open responses.
3. Learn about alternative models to ChatGPT for open response categorization.

Christin Hyla (Managing Director @Survalyzer Nederland B.V.)

https://ch.linkedin.com/in/christian-hyka

12.50 – 13.50  Lunch sponsored by Savanta   

13.50 – 14.10  Value creation I Impact of AI 

Stage 1 [UK] Data for Everyone: Driving value through Data Democratization I Interfood

In many companies, reporting and analytics are centralized within IT teams but often fail to deliver expected value due to underuse, misuse, or misalignment with business needs. Iris Wijers advocates for data democratization, empowering business users to generate their own insights. She emphasizes building a supportive data community through training, accessible tools, and fostering a culture where data-driven employees feel empowered and recognized.

Iris Wijers (Data Anlyst & Community Manager @Interfood)

Stage 2 [ENG] Engaging Diverse Voices: AI-Driven Strategies for Inclusive Survey Participation I Bilendi & Respondi

Learn how to effectively engage non-native Dutch citizens and individuals from various ethnic backgrounds in survey research. This presentation covers AI-powered methods for creating discussion guides, moderating surveys, and analyzing responses. Using the Bilendi Discuss platform and BARI.

Lorena van Essen (Project manager @Bilendi & respondi) & Luigi Casula (Country Director @Bilendi & respondi)

https://www.linkedin.com/in/lorena-van-essen-089552ba/
https://www.linkedin.com/in/luigicasula/

Stage 3 [UK] Measuring REAL data with My-Habitz I MSI

In market research data and -quality are compromised due to declining response rates and participant burden. My-Habitz is a new data collection platform that uses geo location technology to capture, collect, and analyze actual consumer behavior. We enrich passive data measurements with qualitative data, which we quantify using artificial intelligence tools. Empowering consumers to be able to own their data, we create high valued data in accordance with GDPR legislation.

Caroline Weiss (Quality control manager @My-Habitz) & Max Benschop (Data insight manager @ My-Habitz)

https://www.linkedin.com/in/caroline-weiss-9844562b/
https://www.linkedin.com/in/max-benschop-89b5311b9/

14.20 – 14.40 Validation & Implementation 

Stage 1 [UK] Unleashing Innovation in Market Research: Harnessing the Power of Synthetic Data I Bulbshare & LEGO

Generative AI is radically transforming how researchers mine and analyse data, and recent developments in synthetic data are further shifting the landscape in terms of what’s possible when it comes to research. Join Bulbshare as we showcase how we’re piloting synthetic data to scale our research. Learn how our model works, uncover the actionable tips we’ve learnt along the way, and explore how synthetic data matches up with a real-world comparison.

Julia Brannigan (Senior Researcher @Bulbshare)

https://www.linkedin.com/in/julia-brannigan-7b68b46/

Stage 2 [UK] Tech vs Trust: The Power and Perils of AI I Media.Monks

Uncover the impact of AI and emerging technology on marketing in our session, ‘Tech vs Trust: The Power and Perils of AI’. Explore how brands are leveraging emerging tech for growth while navigating significant legal, privacy and risk that may impact consumer trust.

Michelle McGrath (Senior Vice President of Data, EMEA @MediaMonks) & Asli Yildiz (Vice President of Data Privacy, Global @S4 Capital / MediaMonks)

https://www.linkedin.com/in/michellemcgrath/
https://www.linkedin.com/in/asliyildizlawyer/

Stage 3 [UK] ESOMAR

15.00 – 15.20 Showcases on Data Analytics & Strategy

Stage 1 [ENG] Stage 3 [UK] TUI data transformation journey: lessons learnt I TUI

TUI Group, a leading tourism company, is on a digital transformation journey to enhance customer experience, improve operations, and drive innovation through data, analytics, and data science. Data is crucial in the travel industry, making a strong data foundation a top priority. Despite challenges, this lecture will explore the do’s and don’ts of data transformation in a multicultural setting, highlighting TUI’s success in building a competitive data foundation.

Tatiana Novoselova (Global Head of CRM&CX Analytics @TUI)

Stage 2 [ENG] Guiding Veterinary Pharmaceuticals with Data-Driven Insights I Dechra Pharmaceuticals & MultiMinds

Discover how Dechra Pharmaceuticals, a global leader in veterinary pharmaceuticals, transformed its digital marketing through a data-driven strategy anchored by the North Star Metric.
MultiMinds will showcase the alignment between IT and marketing that empowered Dechra to enhance customer engagement and move step by step towards a more marketing-driven organisation. Learn how effective data governance and customer data architecture became the foundation for their success.

Steph Forder (Data and Analytics Lead for Dechra), a global specialist in veterinary pharmaceuticals
LinkedIn: https://www.linkedin.com/in/stephanie-forder-28a4021a4/

Jens Scheerlinck (Lead Data Solutions Architect)
LinkedIn: https://www.linkedin.com/in/jens-scheerlinck-5ab48240/

Stage 3 [ENG] Reshaping Data Science teams around increased ambitions I Achmea (Centraal Beheer)

Centraal Beheer has chosen to strategically transition from vendor software for commercial pricing to a proprietary, as-a-service solution. This marks a significant operational shift from solely building models, to developing Python-software for long time use.

Maarten Mulder ( Manager Data Science Achmea (Centraal Beheer)
https://www.linkedin.com/in/maarten-mulder-49a66a1b/

Stage 4 [ENG] Maximizing the impact of data products by using data to improve communication and collaboration I DataSynthesis

Using data to enhance communication and collaboration between departments can significantly boost the impact of data products like dashboards and databases. By fostering understanding and reducing miscommunication, teams create greater buy-in and leverage these tools more effectively.
By using data as a neutral and factual basis, teams can better understand each other’s perspectives, solve longstanding issues, and improve organizational culture and work satisfaction.

Fianne Blaak (Interim BI consultant @Fianne Blaak)

https://www.linkedin.com/in/fianne-blaak-data-fanaat/

15.20 – 15.55  Break

15.55 – 16.15  Showcases on Data Analytics & AI innovations

Stage 1 [NL] AI Pact & literate | Paneldiscussie

De Nederlandse AI Coalitie (NL AIC) meldt dat Nederland op de eerste plaats staat in de Global Index on Responsible AI. De index is gebaseerd op gegevens en evaluaties van 138 landen over de periode van 2023 tot 2024, en maakt gebruik van de grootste dataset die momenteel voor handen is omtrent verantwoorde AI-innovatie.

Host I Katja van Kranenburg I NL AIC

16.20 – 17.00 Keynote Data Strategy & Engineering I Analytics applications I Data Driven Marketing

Leveraging AI & Machine Learning to Accelerate Innovation in FMCG Industry I LatentView & Nestlé

When it comes to innovation, people are the driving force behind ideation. The path from investment to ideation to implementation to value creation isn’t always a straight line. There are countless variables and obstacles to navigate, but data is a powerful asset that digital leaders can use to connect the dots with the right analysis and insights. FMCG Industry constantly focuses on driving innovation to keep offering consumers new products as per their evolving needs and preferences. FMCG customers have to keep tab on this innovation process to innovate products ahead of the competition to stay relevant in the marketplace and deliver to their growth ambitions. We aim to share a live case study of a large FMCG customer whose sheer focus on data driven innovation is helping them meet their business objectives.

Ritanbara Mundrey (Global Head of Innovation and Insights for Dairy, Nestlé
https://www.linkedin.com/in/ritanbara-mundrey-8804942a/
Sanjay Annadate (Vice President, LatentView Analytics)
www.linkedin.com/in/sanjayannadate

17.00 – 17.15  Closure by chairman Rianne van der Loo

17.15 – 19.00  Drinks & Bites

Partners

Platina DAC partner

Gold DAC partner

Terms and Conditions

Check our terms and conditions for the Data Analytics Congress 2024 event here.