Welcome to the analytics section of my blog, where I share my insights and expertise on the power of visual analytics. As someone who has worked with data for years, I believe that visual analytics is one of the most important tools we have for unlocking the insights hidden within our data.
In this section, you’ll find a variety of posts on topics such as data visualization, dashboard design, and best practices for using visual analytics to drive business success. I’ll share my perspectives on the latest trends and innovations in this field, as well as practical tips and tricks for getting the most out of your data.
Whether you’re a data professional, business leader, or just someone interested in the power of analytics, you’ll find plenty of valuable insights and knowledge in these posts. My goal is to make complex topics accessible and easy to understand so that everyone can benefit from the incredible insights that visual analytics can provide.
So, join me on this journey as we explore the world of visual analytics together, and discover new ways to harness the power of data to drive business success and unlock new insights into our world.
Analyzing Medical Images: Detecting Pneumonia with Custom Vision AI
Recently we had the 17th edition of our Data & AI Meetup. This meetup focused on Data & AI in Healthcare. Let’s have a quick recap!
Agenda:
16:00 – Willkommen & Intro
16:05 – BI as a Service für eine bessere Healthcare Supply Chain
Christopher Glogger, Sana Einkauf & Logistik
16:35 – AI Trends und Use cases
Andreas Kopp, Microsoft
17:20 – Visuelle Datenanalyse rund um CoViD-19
Markus Raatz, Ceteris AG
17:55 – Wrap up
Darren Cooper and I had the pleasure to welcome 200 Data & AI enthusiasts! Furthermore, we were happy to announce that our Data & AI Meetup group has 1,070 members and our brand new Data & AI LinkedIn group already has 580 members.
Reinforcement Learning of Train Dispatching at Deutsche Bahn
Dr. Tobias Keller, Data Scientist at DB Systel, showed in his session how Deutsche Bahn aims at increasing the speed of the suburban railway system in Stuttgart (S-Bahn) using Artificial Intelligence. In particular, a simulation-based reinforcement learning approach provides promising first results.
First Speaker at tbe Data & AI Hub Reinforcement Learning of Train Dispatching at Deutsche Bahn Dr. Tobias Keller, Data Scientist @dbsystelpic.twitter.com/nPzrcTgHgr
Sascha Dittmann, Cloud Solution Architect for Advanced Analytics & AI at Microsoft, showed in his presentation, how TensorFlow and other ML frameworks can be used better in a team through appropriate Microsoft Cloud services. He presented different ways of how data science experiments can be documented and shared in a team. He also covered topics such as versioning of the ML models, as well as the operationalization of the models in production.
Visual Analytics: from messy data to insightful visualization
Daniel Weikert, Expert Consultant at SIEGER Consulting, showed in his session the ease of use of Microsoft Power BI Desktop. He briefly highlighted the AI Capabilities which Power BI provides and showed a way on how to get started with messy data, doing data cleaning and visualize results in an appealing way to your audience.
15th Data & AI Meetup in Frankfurt: Visual Analytics: from messy data to insightful visualization by Daniel Weikert @sgc_siegerpic.twitter.com/sTvaAwQxc2
If you’ve dreamed of sharing your Data & AI story with many like-minded Data & AI enthusiasts, please submit your session proposal or reply to the recap tweet:
From ideas to dashboards: The essential books for mastering your Data Journey, featuring ‚Info We Trust‘, ‚Visual Analytics with Tableau‘, and ‚The Big Book of Dashboards‘.
Today, data is at the core of everything we do, but the journey to mastering it can be overwhelming. Last year I started lecturing a Data Analytics course at university (as part of an MBA program). In the meanwhile, I was refining the list of books that I highly recommend to read. Three of these books form the Data Journey!
The Data Journey: A Human-Focused Approach to Data Storytelling
The Data Journey is not just about numbers; it’s about understanding the evolution of data, the power of visualization, and how it all connects to real-world business. Here are the books that will guide you on this path:
1. Info We Trust: How to Inspire the World with Data
Begin your Data Journey with a deep dive into data storytelling. Info We Trust explores data lifecycle across disciplines, with inspiring references and hand-drawn illustrations. It’s a must-read for anyone serious about data communication.
This book examines all parts of the data storytelling lifecycle across disciplines. The use of marginalia and hand-drawn illustrations give you both simple lessons to take away and insights into where to find out more. The book is full of magnificent references that inspire further reading.
2. Visual Analytics with Tableau
Ready for hands-on experience? My book, Visual Analytics with Tableau, provides a step-by-step guide to mastering Tableau, from basic chart creation to advanced statistical modeling. With Tableau available for free to students, there’s no reason not to dive in!
Visual Analytics with Tableau covers everything you need to get started with Tableau (students get Tableau for free!). The book guides you from the first steps of connecting to data, creating different types of charts, and adding calculation fields to more advanced features such as table calculations, forecasts, and clusters, as well as R, Python, and MATLAB integration for sophisticated statistical modeling.
3. The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios
Back to business (as this course is designed for an MBA program). We close our Data Journey canon with The Big Book of Dashboards. This is a comprehensive reference book with real-world solutions for business dashboards and a detailed analysis of do’s and don’ts.
This comprehensive reference book offers real-world solutions for business dashboards. It’s a practical guide to understanding do’s and don’ts in data visualization, categorized by industry and functional business areas.
Need More Inspiration for Mastering Data Journey? #MakeoverMonday: Improving How We Visualize and Analyze Data, One Chart at a Time
Because vizzing alone is only half the fun, you should not miss the #MakeoverMonday book. Eva Murray and Andy Kriebel are icons in the data visualization community (read the interview!) and they have curated the thousands of visualizations from the #MakeoverMonday project into a practical guide that will take your design and data communication skills to the next level!
The #MakeoverMonday book by Eva Murray and Andy Kriebel is a treasure trove of data visualization insights. It’s a practical guide to enhancing your design and communication skills.
Join the Conversation: Your Recommendations for the #DataJourney
Interested in more insights on data visualization, analytics, and Tableau? Follow me on Twitter and LinkedIn, and let’s continue learning together. And don’t forget to check out my book Visual Analytics with Tableau to take your data journey to the next level!
What other books have inspired you on your data journey? Share your favorite data books in the blog post comments or reply to this tweet:
We use cookies to optimize our website and our service.
Functional
Immer aktiv
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes.The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.
