Big Data Analytics

10 March 2020

Van Der Valk Hotel, Utrecht




Session one – developing your big data strategy, building your capabilities and realising your goals

  • Data democratisation
  • From project to production
  • how to become data driven
  • Getting beyond the piloting stage
  • A solid data foundation for big data reporting & analytics
  • How to make value out of IoT data
  • Achieving accuracy in data visualisation
  • Data visualisation story telling
Conference Chair’s Opening Address
Data to the people – data democratisation enables data driven organisations

Bertram Pamminger, Head of Engineering Data Products, Daimler AG







In this decade, “big data” and “data driven” were some of the biggest business buzzwords. We all want to turn our company into a data driven company; we all want to leverage the value of the data we possess.

The keys to a data driven organisation are the balance of data governance and data democratisation, i.e. enabling the broad majority of your organisation to access and generate value out of your organisation’s data.

In this talk, Bertram Pamminger will share Daimler Truck’s approach of Process Embedded Analytics – bringing analytics functionality into the operational processes and enabling better decisions and more targeted actions.

• To enable a data driven organisation, the balance between data governance and data democratisation plays a crucial role
• With Process Embedded Analytics, Daimler Trucks is bringing analytics functionality into the operational processes
• Thereby enabling better decisions and more targeted actions

Analytics and Data Privacy: Is There a Way to Secure Your Data and Analyse It Too?

Felix Rosbach, Product Manager for Enterprise Data Security, comforter







The most valuable data is also the most sensitive.

While this is nothing new to data analytics professionals, regulations like GDPR have brought topics like privacy and data protection to the attention of the boardroom. Companies are well aware of the fact that they need to protect privacy and sensitive data of individuals. This creates a problem for data analytics though – especially when moving big data projects to the cloud – as data security executives fear to lose control over data as soon as it leaves on-premise data stores.

In the past, data security and data analysis had to compromise between freely using data for analytics and properly securing it from potential threats and complying with data privacy regulations.

Is there a way to secure your data and analyse it too?

Learn more about data-centric security, and why there’s no need for compromise.

Becoming data driven and data valuation: from the new gold to reality

Sébastien Oldenbroek, Data Product Owner, Nationale-Nederlanden

speaker sebastien oldenbroek







Every company is focused on becoming data driven in order to extract value from the “the new gold”. Does everyone in the company know what data driven actually is, besides a buzz word? Is it enough to have data engineers and scientists to make data the new gold or is it a long chain which needs to be managed? What does that require from your organisation?

If data is valuable, can we quantify it in an economic sense? Can we measure the Return on Information?

Sébastien will address these questions based on his experience and perspective.

  • What does data-driven mean?
  • Chain thinking and cultural change
  • Data valuation methods, how to quantify data into money with theoretical and practical examples
A solid data foundation for big data and reporting & analytics within the modern enterprise

Sander Hermsen, Senior Enterprise Architect-Data & Reporting, Rabobank







Almost all enterprises have invested significantly in their IT for reporting and analytics. This investment is characterised by a large and diverse set of solutions from different vendors which are insufficiently aligned.

As a result, Data logistics – the flow of data within the organisation – is not properly organised and parts of it are unknown. This current state is blocking the move towards a more modern digital organisation. Fortunately, the move to the cloud can enable these organisations to tackle this current state.

In this talk,  Sander will focus on how to simplify data logistics and the architecture, how to implement governance on data (usage) and the required organisational capability.

  • Simplification of data logistics and technical architecture
  • Being in control of data and the usage of it
  • Management of interfaces and API management
  • Develop your own capability for agile delivery and operationalization of results

What internal culture and skills do you need to have within your organisation to realise a solid data foundation

How to make value out of IoT data

Dani Marouane, Enterprise Architect, IoT & Big Data Domain Architect, Damen Group

speaker dani marouane







We live in the connected Era! The digital world has never been closer to the physical world due to the vulgarisation of IoT technology. Wearables, sensors and phones generated more data than all other systems combined in the last 5 years, which means that it comes with its own challenges.

  • How to make value out of this ocean of connected data?
  • Is data the real new oil?
  • What are the best practices? the do’s and don’ts
  • Let’s discuss the architecture!
  • How to consume this value within and outside of an organisation?
Questions to The Panel of Speakers
Refreshment Break Served in the Exhibition Area
Real-Time Analytics. But How?

Frank Knot, Head of Customer Success EMEA, HVR







In this session, Frank will share a customer case study about how a global e-commerce company deployed a successful AWS data lake project enabling real-time analytics. You will learn:

1. How log-based Change Data Capture is a low-impact solution for replicating data for real-time availability

2. Why a distributed architecture is a recommended solution for high-volume and complex data environments

3. Considerations for and how to interconnect different technologies in your hybrid and multi-cloud environments

Do you struggle with understanding certain graphs or dashboards? Do your own graphs get repeatedly misunderstood?

Isabel Bevort, Data Scientist, Dutch Railways 







Do you struggle with understanding certain graphs or dashboards? Do your own graphs get repeatedly misunderstood?

As data professionals we are continually telling stories of the information that is contained in the data. How do we make sure that we tell the right stories to the right people, and that our stories are understood? In order for our information to be useful, we need to know how to tell the stories right.

Through an example, Isabel will show you the basic principles of good data visualisation and her own considerations in deciding how to tell a story.

  • Basic principles of good data visualisation based on Stephen Few
  • Data visualisation is the “how” of telling the story of the information from data
  • Example – simple visualisation but high amount of information
Case Study: How MVF Increased Rescued Revenue by Implementing a Modern Data Stack

Claire Nicholl, Business Development EMEA, Fivetran







With Fivetran, Snowflake and Looker, MVF solves data ingestion problems, runs queries seamlessly, and creates a data-driven culture through dashboard visualisations.

Questions to the Panel of Speakers and Delegates move to the Seminar Rooms
Seminar Sessions
Networking Lunch Served in the Exhibition Area

Session two – Putting your data to work with the right technology

  • The added value of a measurable key result
  • Building and retaining your customer base with AI
  • Adopting an agile data science approach
  • Moving from pilot to production
  • Algorithmic content programming
  • Using data to optimise your processes
  • Embracing analytics-a practical use case
Conference Chair’s Afternoon Address
Objective impact – the added value of a measurable key result

Polina Abdoulina, Senior Data Scientist | OKR Program Lead, TNT Digital / FedEx

With the increasing gathering of data, new opportunities arise to better steer decision-making based on data and facts. Adopting an agile mindset by setting quarterly goals and creating a highly aligned focus among departments becomes common in many companies.

To stay ahead within extremely fast-changing markets, data is an essential element in creating this focus and maximising results.

This talk is about:

  • How to set value adding OKRs;
  • How data and metrics should support your OKRs;
  • Steps you can take to create a data-driven company

Sarah Westphal, Senior Product Owner, a.s.r. analytics lab

While Agile originally found its way into the business through software development, it is currently establishing itself in other areas of the value chain as well. In its core, agile is a collaborative approach between cross-functional teams. These teams design and build minimal viable products (MVPs) and features, test them with customers, and refine and enhance them in rapid iterations.

Does this approach also suit the more R&D focused approach of the analytics and data science teams? And can agile data science live up to its promise and deliver an effective process flow where product improvements are realized quickly?

Based on her experience of introducing agile to data and analytics teams within a.s.r. (a large scale Dutch insurance company), Sarah explores:

  • What are the key features for a successful agile data science approach?
  • How can these principles be applied into the data science development process?
  • What mistakes should be avoided?
Getting beyond the piloting stage: from project to production

Sanne Menning, Lead Data Scientist, Albert Heijn

Related to the issue of adopting an agile mindset in order to effectively manage big data initiatives is the importance of ensuring you move from the piloting to the production stage in an ordered and timely fashion.

We address:

  • Opportunity identification
  • Proof of concept
  • Minimum viable product
  • Sustainable software solution
Questions to the Panel of Speakers
Afternoon Networking and Refreshments served in the Exhibition Area
Algorithmic content-personalising messaging in a smart and programmatic way

Pieter van Geel, Director of Data, Greenhouse (part of WPP)

Nearly all online marketing KPI’s are determined by price of the impression and effectiveness of its message. Determining what message is the most effective for different audiences or context and then exploiting this learning as early in this process as possible is key in maximising the effect of online marketing campaigns.

Multiple creatives containing different messaging can be turned into one ‘smart’ Algorithmic Content creative. In this creative we provide the logic to optimise it towards a given goal over a given dimension.

Algorithmic Content is platform agnostic and can include an onsite component as well. The process and impact of Algorithmic Content in media execution will be explained in the presentation.

  • Multi-variant (bandit) testing
  • Segmentation at scale
  • Media optimisation (media efficiency)
Bringing the outdoors indoor: how Royal Mail uses data to optimise our processes and visualise a postal network

Kat James, Head of Data Science, Royal Mail

Royal Mail is the National postal service for the UK, delivering 16 billion mail items a year to 50 million addresses 6 days a week.

Outdoor Actuals was a major technological and data project which aimed to address one of the major blind spots of the organisation, outdoor work. Our biggest cost base, and the majority of our work, happens outside of our estate. However, our ability to monitor, optimise and visualise this work was lacking until we implemented a nationwide IoT project.

In this talk, Kat will cover how the Royal Mail:

  • Built the infrastructure to capture GPS data from their employees
  • Used algorithms, particularly those from computer vision, to model events from a raw GPS ping stream
  • Dealt with the curvature of the earth!
  • Implemented these techniques at scale
  • Visualised the data to make it available to front line decision makers
  • Continues to use insights from this data to drive innovation and transformation
Embracing analytics – a practical case

Arno Van Sloun, Lead Data Scientist, ARAG

Organisations often find it difficult to implement analytics within their processes. In order to overcome this fear-of-failure and to catalyse the change needed, organisations need to embrace the use of analytics. By doing so, analytics can contribute to cost reduction, overall improvement of informed decision making and lower implementation risks for new products.

In this presentation, Arno van Sloun will share his thoughts on the maturity levels of analytics and the life cycle of data science projects. In addition, a practical case on prescriptive analytics will be demonstrated.

  • Clustering of (historical) data to make various processes more accurate
  • Using machine learning techniques to retain and build a healthy client base / portfolio
  • Prescriptive analytics combined with a manual verification step for raising acceptance of analytics
Questions to the Panel of Speakers
Closing Remarks from the Conference Chair
Conference Closes
16:35 - 18:00
Drinks reception hosted by HVR

If your schedule allows, you are all invited to join the team from HVR for a well earned drink (or two) in the bar / foyer area on Level 1 once the conference sessions have finished.  Please ensure you have your BDA Europe 2020 badge with you as proof of identification as there are other meetings scheduled in that area during the HVR drinks reception.

Please note:
Whitehall Media reserve the right to change the programme without prior notice.

COVID-19 Virus

We would like to confirm that BDA Europe March 2020 is going ahead as planned.

Click here for more details