Evelyn Münster und Kai-Uwe Stahlsprechen über die unterschiedlichen Formate von Datenprodukten, das Vorgehen, um Akzeptanz dafür zu schaffen und die Frage nach einer Messbarkeit für Data Literacy.
Evelyn Münster ist Data Designerin. Mit über 14 Jahren Erfahrung in der Datenvisualisierung in verschiedenen Branchen ist sie heute eine anerkannte Expertin für die Gestaltung von Datenprodukten, die über die Möglichkeiten von Standard-Dashboards hinausgehen. Sie hilft Technologiekunden bei der Entwicklung maßgeschneiderter Apps, die Daten nutzen und visualisieren, um die Entscheidungsfindung und die Navigation in komplexen Systemen zu unterstützen.
In dieser Folgen lernt ihr:
Was ein Datenprodukt ist
Welche Ansätze es von Datenprodukten gibt – Exklusiver Schreiner bis IKEA Standard
Welches Vorgehen zu besserer Akzeptanz führt
Welche Rolle Data Literacy dabei spielt
Wie Data Literacy in Unternehmen gemessen werden kann
Welche Chancen und Grenzen Data Literacy Tests für Unternehmen haben
Jon, Viktoria and Kai talk about Data Viz and its importance, opportunities and feasibility in practice.
Dr. Jonathan Schwabish is founder of the data visualization and presentation skillsfirm, PolicyViz and a Senior Fellow at the Urban Institute, a nonprofit research institution in Washington, DC. There, he is a researcher in the Income and Benefits Policy Center and a member of the Institute’s Communication team where he specializes in data visualization and presentation design. His research agenda includes such areas as earnings and income inequality, immigration, disability insurance, retirement security, data measurement, the Supplemental Nutrition Assistance Program (SNAP), and other aspects of public policy. Jonathan is also considered a leader in the data visualization field and is a leading voice for clarity and accessibility in research. He has written on various aspects of how to best visualize data including technical aspects of creation, design best practices, and how to communicate social science research in more accessible ways. In both positions, Jonathan helps nonprofits, research institutions, and governments at all levels improve how they communicate their work and findings to their partners, constituents and citizens. He also teaches data visualization and presentation skills at Georgetown University, American University, the University at Buffalo, and in public workshops. He also hosts the PolicyViz Podcast, which focuses on data, open data, and data visualization. His book Better Presentations: A Guide for Scholars, Researchers, and Wonks helps people improve the way they prepare, design, and deliver data-rich content and his edited book, Elevated the Debate: A Multilayered Approach to Communicating Your Research, helps people develop a strategic plan to communicating their work across multiple platforms and channels. His latest book, Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks details essential strategies to create more effective data visualizations.
In today’s episode you will learn:
Why the topic of DataViz is and remains so exciting
Insights from Jon’s new book „Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks“.
Is there one best visualization or one that always works?
Is there a favorite tool for a DataViz expert?
More recommendations on other formats and colleagues in the DataViz environment.
Nicolas,ViktoriaandKaitalk about Digital Finance and Controlling in an international environment and how LinkedIn can be a valuable support and source of information.
„My current professional role: I am currently heading the Finance and Controlling team of one of the Business Line of Thales Germany. MIS is specialised in producing Traveling Waves Tubes for Satellites. My story: I am half French, half Belgian and being raised with 2 different cultures brought me where I am today. I lived in 5 different countries across 3 different continents (France, USA, Luxembourg, Singapore and Germany) and at home or at work, I am constantly switching between speaking English, German and French. My private life: I am married and a happy father of two young daughters. We both learn from each other and we enjoy reading french books together and going outside together. When I am not busy with my daughters, I am working out to stay healthy and feel good (I recently bought a Peloton, hit me up if you are also a Peloton member). Traveling and tasting new food are some of my favorite experiences. But if you ask me where is the most beautiful place and where can we find the best food in the world, I have only one response: my hometown, Brittany in France (check my Linkedin banner to see the beauty of it).“ –Nicolas Boucher, Thales
Here’s what you can take away from today’s podcast:
🚦 Why every finance and controlling department should be looking at automated dashboards 🏁 How to get digital finance on the road? 👍 How you can use LinkedIn to become a better controller? ⚡️ Practical shortcuts to forecasting? 📱 What we should adopt from iPhone apps for our business applications?
Andy,ViktoriaandKaion using the DataViz Design Process in everyday business practice.
Andy Kirkis an experienced UK-based data visualisation design consultant, trainer, lecturer, author, speaker, and researcher. He is the editor of visualisingdata.com and host of the ‘Explore Explain’ video and podcast series. Since foundingVisualising Data Ltd. in 2010, Andy has worked with a wide range of clients, including Apple, S&P Global, Arsenal FC, Google, EU Council, and Pfizer. He has conducted over 300 public and private training courses in 27 different countries. Andy has previously delivered post-graduate teaching with MICA (USA) and Imperial College (UK), and is now an adjunct lecturer at UCL (UK), teaching a module on the MSc Business Analytics programme. He has authored three books, with the most recent published by Sage in August 2019 and titled ‘Visualising Data: A Handbook for Data Driven Design (2nd edition)’.
Here’s what you can take away from the podcast today:
📈 You understand the DataViz Design Process and how to use it
🧐 Projects and companies that have made a lasting impression on Andy
🚀 How each of you, regardless of hierarchy level, can successfully launch a DataViz initiative
⚒️ Why do we need to talk about tools in addition to method?
💪🏼 What makes a good virtual training?
📊 Where can we get inspiration for new DataViz projects?