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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)
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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.
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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
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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!
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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
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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.
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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.
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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
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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
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Daniel Jerman, Marketing Science Leader and Senior Data Product Manager, shares his valuable insights on how Data folks can be valuable.
Business decisions powered by data, but if Data folks do not understand the business problems they are trying to solve then their chances of success are greatly reduced. Daniel shares his advice on investing time to know your domain, the growing importance of Data Product Managers and how we can democratise data.
This episode tells us that even with all the best in class Data tools you might be using, the way to provide real value to the business is to truly understand your domain.
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AI enablement, the path to success is littered with challenges. Nichal gives us the rundown of what activties to focus on, and how to effectively educate and implement AI so that your team, business, and customers reap the benefits and avoid the darkness
Nischal Padmanabha comes with 10 years Machine Learning execution and leadership experience, and a wealth of knowledge that his shares with us in this Pod.
#dataforgood #ai #berlin #zuma
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Building a Data Team from the Ground Up.
Camila Gutiérrez López, Analytics Lead and Founding Member of the Data Function at JustPlay, shares her insights on:
The first steps to take when building a data function from scratch. Transitioning from initial data tools to a more robust system. Selecting the right data tools for your specific needs. The potential for growth and maturity within your data setup.This episode proves that even the smallest teams can unlock the power of data. Get started today!
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Data & AI-driven Product Management!Practical and insightful, Christian gets straight to the point, on the differences of conventional product management, with the new era of data & AI in tech.Get your notepads ready for the tips, tools, skills, and mindset shift to help you prepare for the data-driven age of product delivery!Unlock your product team's potential - with the power of data & AI!
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Anjali Savlani is a Senior professional specialising in Data Management.
Expect to hear about the disconnect between people and data, and how we overcome the problems of translating data with behaviours, actions, and tools. If you're in data, business, or leadership, there is value here for you.
The Data For Good Podcast is brought to you by Zuma, Berlin's exclusive data recruitment agency.
#datamanagement #data #berlin #zuma
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Diversity Drives Data Decisions!
This episode packs a punch on building high-performing data teams. We show how diversity fuels better choices, fosters inclusion, and unlocks global collaboration.
Join us to learn:
Benefits of diverse data teams & how it strengthens decisions. Building inclusive cultures within your data teams. Leading globally with inclusivity. Collaboration strategies for diverse global teams. Empowering women in data from a senior leader.Unlock your data team's potential - with the power of diversity!
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Martin is Director of Analytics & Controlling and comes from a wealth of experience in the industry. Today we explore how businesses are starting to forget the foundations of data in their quest for business success... and how they can find success through Martin's 3 pillars of data.Practical steps for data leaders, analysts, and engineers alike.#data #collaboration #focus #trust
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Oleg is an AI enthusiast and mental health advocate; a winning combination for this podcast's hot topic! In this episode, you'll learn about the current capability, the mechanics, and the future vision of AI-assisted therapy. We are already seeing great changes to the healthcare industry, and hopefully Oleg's team at Stamina AI can bring more great advancements too.#ai #mentalhealth #chatbot #dataforgood
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Zane is an Applied Science Manager with Zalando, and has been scoping and delivering data projects for over 10 years. In this episode, you'll hear about the mistakes, misconceptions, critical needs, and ways to get your data project approved from the highest levels of business!#datascience #scoping #dataforgood #berlin
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Eva is an analytics and engineering leader and expert practitioner of DBT. In this episode you'll hear about the people and process challenges of implementing DBT across your data teams, and then about the great advantages once these hurdles have been overcome.Eva brings experience, enthusiasm and a balanced perspective to the work of both analytics and engineering team players. Enjoy! #analytics #engineering #dbt #berlin
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