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Stories begleiten die Menschheit seit Anbeginn – sie bewahren Wissen, machen Werte greifbar und regen zum Nachdenken an. Genau diese Kraft kann auch Data Storytelling entfalten: Daten werden dadurch verständlich, einprägsam und handlungsleitend. Tiankai Feng zeigt, wie sich bewährte Storytelling-Methoden aus Geschichte und Kultur auf den Umgang mit Daten übertragen lassen. Er teilt seine eigenen Erfahrungen und gibt praxisnahe Tipps, wie Du Deine eigene Data Story fesselnd erzählst.

If you want to elevate your data career, mastering communication is key…and to do that, you do not want to miss this show about the people side of analytics! Tiankai Feng, Head of Data Strategy & Governance at Thoughtworks, dives deep into language's critical role in how data analysts work with business stakeholders—and why getting it right matters. You'll leave the show with practical tips for bridging the gap between technical and non-technical audiences and actionable insights to ensure your data drives impact, not confusion. Sharpen your ability to speak the language of business and create stronger partnerships with your stakeholders! What You'll Learn: How to translate technical insights into business-friendly language Common mistakes to avoid when working with non-technical teams Strategies to build trust and alignment through clear communication How mastering this skill can boost your career   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   Interested in learning more from Tiankai? Check out his book, Humanizing Data Strategy: Leading Data with the Head and the Heart, and his YouTube channel, where he shares original songs about data!   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

Tiankai Feng joins me to chat about the people side of data, aligning on the value of data strategy, and much more.

In the evolving landscape of data work, simply being knowledgeable is no longer enough to stand out. To become the "go-to" expert in a specific area, you need intentional and consistent communication, also known as Personal Branding. Join us in this insightful webinar where Tiankai Feng will share a structured and practical approach to developing your unique personal brand.

What you'll learn:

• The importance of personal branding in the data field
• Practical steps to build and maintain your personal brand
• Strategies to differentiate yourself and become a recognized expert in your niche

Whether you're just starting in data or looking to elevate your career, this webinar will provide you with the tools and insights you need to engineer your personal brand effectively. Don't miss this opportunity to learn from a leading expert in the field.

Discussion of the book 'Humanizing Data Strategy: Leading Data with the Head and the Heart' by Tiankai Feng, with Jasmin Herrmann. They discuss the book, Tiankai's journey writing it, and topics around data strategy.

One of the most annoying conversations about data that happens far too often is: “Can you do an analysis and answer this business problem for me?” “Sure, where’s the data?” “I don’t know. Probably in one of our databases.” At this point more time is spent hunting for data than actually analyzing it. Rather than grumbling about it, it would obviously be more productive to learn how to solve data discoverability issues. What’s the best way to properly document data sets? How can you avoid spending all your time maintaining dashboards that no one actually uses?  Shinji Kim is the Founder & CEO of Select Star, an automated data discovery platform that helps you understand your data. Previously, she was the CEO of Concord Systems (concord.io), a NYC-based data infrastructure startup acquired by Akamai Technologies in 2016. She led building Akamai’s new IoT data platform for real-time messaging, log processing, and edge computing. Prior to Concord, Shinji was the first Product Manager hired at Yieldmo, where she led the Ad Format Lab, A/B testing, and yield optimization. Before Yieldmo, she was analyzing data and building enterprise applications at Deloitte Consulting, Facebook, Sun Microsystems, and Barclays Capital. Shinji studied Software Engineering at University of Waterloo and General Management at Stanford GSB. She advises early stage startups on product strategy, customer development, and company building. In the episode, Richie and Shinji explore the importance of data governance, the utilization of data, data quality, challenges in data usage, why documentation matters, metadata and data lineage, improving collaboration between data and business teams, data governance trends to look forward to, and much more.  Links Mentioned in the Show: Select StarConnect with Shinji[Course] Data Governance ConceptsRelated Episode: Making Data Governance Fun with Tiankai Feng, Data Strategy & Data Governance Lead at ThoughtWorksRewatch sessions from RADAR: AI Edition New to DataCamp? Learn on the go using the DataCamp mobile app Empower your business with world-class data and AI skills with DataCamp for business

Tiankai Feng is Head of Data Strategy & Governance Services at Thoughtworks Europe. Tiankai joined us to discuss inclusivity in data teams, data work, and beyond. While it may sound vague and unclear, during the discussion, we actually tried to unfold what it really means. In essence, we emphasized empathy to understand what it takes to do data work and, conversely, what data teams need to understand from business stakeholders to deliver outcomes that truly matter. Check out Tiankai's LinkedIn; he does a great job there!

Countless companies invest in their data quality, but often, the effort from their investment is not fully realized in the output. It seems like, despite the critical importance of data quality, data governance might be suffering from a branding issue. Data governance is sometimes looked at as the data police, but this is far from the truth. So, how can we change perspectives and introduce fun into data governance? Tiankai Feng is a Principal Data Consultant and Data Strategy & Data Governance Lead at Thoughtworks, He also works part-time as the Head of Marketing at DAMA Germany. Tiankai has had many data hats in his career—marketing data analyst, data product owner, analytics capability lead, and data governance leader for the last few years. He has found a passion for the human side of data—how to collaborate, coordinate, and communicate around data. TIankai often uses his music and humor to make data more approachable and fun. In the episode, Adel and Tiankai explore the importance of data governance in data-driven organizations, the challenges of data governance, how to define success criteria and measure the ROI of governance initiatives, non-invasive and creative approaches to data governance, the implications of generative AI on data governance, regulatory considerations, organizational culture and much more.  Links Mentioned in the Show: Tiankai’s YouTube ChannelData Governance Fundamentals Cheat Sheet[Webinar] Unpacking the Fun in Data Governance: The Key to Scaling Data Quality[Course] Data Governance ConceptsRewatch sessions from RADAR: The Analytics Edition New to DataCamp? Learn on the go using the DataCamp mobile app Empower your business with world-class data and AI skills with DataCamp for business

Today's episode features Tiankai Feng, Global Director and Voice of Consumer Analytics at Adidas. Tiankai is going to help you decide if you need an analytics Quarantune. A Quarantune is music or a song that is created for quarantine. The best part about this one is that it is all about data and analytics. Trust me - it's not only fun but it literally speaks to our daily lives in this field!!   In this super fun episode, my amazing co-host Lillian Pierson and myself discuss Tiankai's unique talent for combining analytics and music and how it plays into his day-to-day roll at Adidas. He also shares his Digital Analytics Anthem while dropping a number of knowledge bombs right in the song. Tune in to find out if you could use an analytics Quarantune. Knowledge bombs galore!

  [26:03] - Tiankai on working with analysts: Analysts are great collaborators and not only service functions that have to follow your guidance, but we have to work together to make an impact.    [34:54] - Tiankai on the pandemic: You can predict and plan the most things possible, but when really big unexpected things happen like a pandemic or a huge society issue then none of those plans can actually work as you planned before.  Having data and timely insights is even more important now so you can act timely and the right way. [41:01] - Tiankai on the Perfect Job: It is always easy to complain, but it is so much harder to solve the issues.  If you are not happy with the situation then try to change it. For full show notes, and the links mentioned visit: https://bibrainz.com/podcast/69

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As of this writing, billions of consumers live in quarantine. They buy what they need online, comforting themselves with food, TV, and toilet paper. Nobody is splurging at the mall.

To say the least, it is an interesting time to analyze discretionary consumer behavior. As Director of the Voice of Consumer Analytics at Adidas, Tiankai helps measure and manage the perception of a consumer brand that is mentioned on social media an average of 260,000 times per day. An amateur musician, Tiankai went viral himself lately with his series of “Quarantunes,” songs such as “Self Quarantine” and “Parent in Quarantine,” that poke fun at our homebound predicament.

Tiankai recently spoke with Eckerson Group about the art and science of consumer analytics, the COVID-19 conundrum, and (of course) the role of creativity in modern data analysis.