Blog Archives

23 Apr 2025

How to approach an “Understand Analysis”

In this talk, I will break down the process of conducting an “Understand” analysis—an essential step in data-driven decision-making. From gaining context and framing key hypotheses to iterative exploration and creating impactful outputs, I’ll share practical techniques and insights to streamline this often-overlooked aspect of analysis. Whether you’re diving into raw data or presenting findings […]

22 Apr 2025

Career Trekking across the Data Landscape

Did you plan your path into Data – or did you stumble into it? Now that you’re here, what’s next? In a landscape that is changing so fast, how do you decide what skills to build, what to leverage, and where to go? In this interactive session, we’ll help you: Make sense of your career […]

17 Apr 2025

Why do old Regressions still work in Experimentation?

In the session, we will explore the enduring relevance of traditional regression methods in modern experimentation, focusing on regression adjustments, CUPED and their variations. Attendees will gain a deep understanding of how these techniques leverage pre-experiment data to reduce variance and increase the sensitivity of experiments, even in the era of advanced machine learning and […]

17 Apr 2025

Leading as a Data Professional

It’s hard being a data professional. Data professionals often find themselves in service-oriented positions. They end-up doing ad-hoc work, not getting recognised, and not getting a seat at the table. But there’s another way! You can lead. In this session we will talk about why data professionals find themselves in these situations, practical and actionable […]

16 Apr 2025

Analytics for RevOps – Model Factory Approach

Many organizations struggle to transition machine learning models from development to production efficiently. The Model Factory initiative within RevOps was designed to address this challenge by creating a structured, scalable framework for model development and monitoring. In this session, I will share real-world insights on how we built a Model Factory to streamline machine learning […]

16 Apr 2025

Unlocking Open Banking: From Underwriting to Retail Insights & Market Research

Open Banking isn’t just about bank transactions… it’s a goldmine of insights waiting to be explored. From better underwriting to understanding customer behaviour, market trends, and demographics. Combining data science and open banking data can help businesses tailor better products, improve risk assessment, and even refine retail strategies. Let talk about how this data can […]

15 Apr 2025

Beyond the Buzzword: Building a Truly Data-Driven Organization

In today’s business landscape, “data-driven” is a term that is often tossed around, much like AI, without a clear understanding of its true significance. But what does it really take to build a genuinely data-driven organization? Hazal will unravel this concept by sharing her hands-on experience at Wise, where she has successfully built a team […]

15 Apr 2025

Euroleague Basketball Analytics with Python, Knowledge Graphs and Simulations

Sports analytics is on the rise across sports and markets. In basketball, the NBA is leading the innovation in this space, whereas European basketball is lagging behind, with fewer tools and less data. In this talk, I will introduce an open-source Python library designed to extract and analyze Euroleague (European) basketball data. I will highlight […]

15 Apr 2025

The Metric-Driven Playbook for Scaling Experimentation

This session was not recorded. Scaling an experimentation platform looks different at every company—but one constant remains: metrics guide the journey. The metrics we choose shape our decisions, define our priorities, and influence how we scale and mature experimentation at an organizational level. In this session, we’ll explore how different metrics align with various stages […]