Global Data Analytics Project Lead, Sitian Gao, uses her lived experience to compare the tools, tech, processes, and project delivery of German and USA Data teams. Which country falls behind in which areas? Ultimately, who does data better? Some of the specific topic areas we cover: 1. Tech, tools, processes, and ways of working 2. Multinational companies standards in US + Germany 3. Germany; the shortcomings/areas for improvement 4. Perspectives on how we use data 5. Skils & ways of working; full stack on data or specialised 6. Hiring trends of data people Germany and USA 7. Structuring your data team 8. Rise of analytics engineering and big data 9. Future predictions… (hiring, tools, tech, process, org structure)

This week, Ulysse Zampogna joins us as we discuss unveiling the secrets to managing change for data teams in high-growth organisations. Data is the lifeblood of high-growth companies. In this podcast, we discuss building a data team that can keep up with your rapid expansion. Learn about the evolving role of the data product manager, the differences in data management for startups vs. established companies, and the critical importance of data quality. Discover practical strategies to optimize your data infrastructure and drive business growth.

In today's DFG deep dive conversation, the data platform wizard leader, Leonid Moiseev, talks about data cataloguing - the tools, processes, trends, features, challenges, stakeholders and soooo much more. A great pod for the data nerds amongst us! #dataforgood #genai #berlin #zuma

This week we are joined by Elisabeth Press as we discuss unveiling the secrets to building a high-performing Data Science team. This podcast dives deep into the skills you need to succeed in Data Science, from technical expertise to "soft skills" like communication and collaboration. We'll explore how to identify talented candidates and foster their growth within your organization. Here's what we cover: • The key competencies of successful Data Scientists • How to balance technical and soft skills in your team • Strategies for hiring top Data Science talent • How to develop and empower your Data Scientists for long-term success Listen now and unlock the full potential of your Data Science team!

In today's DFG curious conversation, we tackle a use case of GenAI; the legal industry. A fascinating conversation with Tim about his personal project, the myriad impacts that GenAI is having on legal practices, and how this old industry is reacting to change. We talked about the various practical benefits, the limitations, and what the future of the industry might look like. #dataforgood #genai #berlin #zuma

We are joined by the amazing Evgeni Hasin, in this episode dives into the world of data and how companies can leverage it for success. We'll explore: Data Democratization: Why giving everyone access to data is crucial for handling large data sets and making data-driven decisions. Self-Service Analytics: How to encourage employees to use data analytics tools effectively, going beyond just providing the technology. The True Value of Data Investments: We'll challenge the traditional ROI approach and discuss how to assess the impact of data on your organization's strategic goals. Future-Proofing Your Data Team: Discover the evolving role of data professionals and the skills you should prioritize when hiring for a data-driven future.

DATA is everywhere! Yet, high QUALITY is not. Kay Kim, tells us about the new and emerging role of 'Data Quality Engineer'. Along with; the need, the impact, the potential and the evolution! You'll learn about how data professionals can upskill and move into this new role. You'll also learn about the tools, techniques, and regulations that you need to master, to get to grips with this new area of data.

Daniel Schley, Senior Data Operations and Data Engineering leader, shares his insights into future proofing yourself within Data. This podcast explores why upskilling is critical for data engineers. We'll discuss the evolving data landscape, cloud demands, & best practices for success. This episode tells us how to keep up to date with the ever-changing Data ecosystem and how to provide real value to the business.

Thinking of transitioning your career to Data Science? Watch this! Evgeniy Savin has seen every type of new-joiner in the industry. Here, he helps us to consider all the factors; pre-requisite skills, mindset, and reality. Evgeniy shares his advice, recommendations, and his vision for the future of data science careers. Enjoy! #dataforgood #datascience #berlin #zuma

Data Science leadership of a digital media startup comes with hefty responsibility around data. Ownership of this data could bring better access to customers but also bring major added risk and responsibility. Max guides us through the pros and cons of owning your data or letting an API platform own and control your access. Our chat and data ownership generally, is a serious consideration for data professionals and startup owners alike. Take heed data people! #dataforgood #dataquality #berlin #zuma