Predictive Analytics for customer behaviour avec Tim Wiegels, ex VP Data 
En 2 mots
To create purposeful data solutions you should know what your business really needs. Tim Wiegels does this like nobody else. As the former VP Data of FreeNow, he built data products that served 48 million consumers across Europe available in 9 markets and in over 150 cities. He has a passion for building, structuring and growing international teams. In his Pollen session, you will learn how to generate useful insights, use data science to predict customer behaviours and empower your business to take better decisions.
A qui s'adresse cette formation ?
Data junior to intermediate
interested in making a more significant business impact with customer predictive analysis
Performance and Marketing managers
who are eager to operationalize their data in the cloud and want to know more about Marketing Data
C-level, leaders
with a strong taste for analytical projects and working in a business where data can make an impact
Required: fluent English speaker and basic knowledge in SQL
Ce que vous apprendrez
How to operationalize and use your data in the cloud with Google Cloud and BigQuery
Design and visualise the right KPIs, in alignement with your business needs
Generating insights from customer data and behaviour : KPI-tree, Northstar KPIs, “Company Dashboard”, etc.
Predicting customer behaviour: which behaviour is important, when do you want to predict what and how to do it.
Prix et formules
Financer ma formationPollen Session
890 € HT
- 1 journée de formation avec Tim
- Déjeuner inclus
- Accès à une synthèse des documents et frameworks présentés
Formation
Pollen PLUS
1 115 € HT
- 1 journée de formation avec Tim
- Déjeuner inclus
- Accès à une synthèse des documents et frameworks présentés
- 45min de mentoring individuel avec Tim
Formation + mentoring
Privatiser
Prix sur devis
- À partir de 6 personnes
- Adapté à votre activité
- Présentiel ou online
- Français ou Anglais
Sur mesure
A propos de Tim
Tim Wiegels
ex VP Data 
Experienced leader, inspirational speaker and expert in all things Data with a background in academia with a PhD in Structural Bioinformatics / Data Science from the European Molecular Biology Laboratory. Tim has an analytical, flexible and pragmatic mindset and a strong focus on realising use cases based on business needs and interfacing between stakeholders.
He has a proven track record of building, structuring and growing international teams, projects and implementing data products in complex organization such as Free Now, the Mobility Super App with the largest vehicle choice serving more than 48 million consumers across Europe available in 9 markets and in over 150 cities.
He led important projects include implementations of Marketing Technology and Marketing Data stacks, at GoodGame Studios for instance where he highly contributed to produce web and mobile free2play games for 500 million registered users in more than 40 nations.
He also helped to scale data teams from 15 to 120 FTE and helped changing the data infrastructure from batch ingestion to real-time (for example to build the all-favoured surge pricing).
Recommandations
Thomas Zimmermann
CEO FreeNow
Tim has beside exceptional professional data knowledge the rare trade of understanding business logics and needs combined with a hands on pragmatic approach. While a majority of people talk conceptually about how something should be, Tim has done it both on very lean bootstrapped scenarios up to ultra high (real time) scale.
Thijs Bongertman
Head of Marketing Data Free Now
Tim is a highly experienced data professional and excels in explaining difficult topics in a very easy way. His experience in creating high performance data teams and his enthusiasm around anything that touches the holistic process of creating the best data framework for the job, is guaranteed to inspire and attract a lot of talented people and makes any business perform more efficient and effective.
Notes et avis (14)
Satisfaction
4,3/5
Autres notes
- Expertise trainer
- 4,9
- Pédagogie trainer
- 4,8
- Expérience
- 4,9
- Interactivité
- 4,6
- Nouv. compétences
- 3,9
- Nouv. méthodes
- 4,3
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Le programme
Matin
Different ways to store data
1 How data was built up at XING and at IONIQ: an example of building end2end data infrastructure.
2 Avoid typical mistakes and how to use tools in the cloud such as BigQuery, AWS, etc.
3 Which data stack fits the maturity of my organisation?
4 Group work Let's play with a first set of data
Design the right KPIs, aligned with your business needs
1 Identify the right KPIs to look at: Growth, Acquisition & Retention, Sustainability & Profitability
2 Understand what is a good visualisation dashboard and how to use it
3 Group work Build a company dashboard for 3 uses cases (Product, Marketing, Management)
Déjeunons !
Après-midi
Easy ways to understand customer behaviour and RFM (Recency, Frequency, Monetary)
1 How to predict customer churn in an easy way
2 Identify and understand different views: DAUs, WAUs and MAUs and RFM(Recency, Frequency, Monetary).
3 Group work Use the available data to build an RFM data source
Use RFM data to predict your business
1 Understand when and how to use predictions
2 Experience from gaming and mobility company: what can we use predictions for and why is RFM data so versatile?
3 Group work Use ChatGPT for RFM data analysis
La promesse Pollen
Relevez les défis de demain aux côtés des meilleurs d'aujourd'hui.
- Les meilleurs opérationnels partagent leur secret sauce
- Une pédagogie active et rythmée
Des contenus directement actionnables - Une communauté de talents
Des échanges authentiques et concrets, 12 participants max.
