

Successful companies need data to make informed decisions. If you want to win over the decision makers at your company, whether it be for a new project, tool, or perhaps even to showcase your own productivity, you need to understand the importance of data visualization and how to tell a story...
Successful companies need data to make informed decisions. If you want to win over the decision makers at your company, whether it be for a new project, tool, or perhaps even to showcase your own productivity, you need to understand the importance of data visualization and how to tell a story with your data. Join Lynnann Whitbeck, Senior Risk Data Strategist at Chainalysis for a deep dive into data visualizations and learn how you can impress your team (and boss!) with data.
What are the biggest challenges you face when trying to visualize data?
Is Data Visualization an icing on the cake that helps during presentations? Or would you give equal weightage to exploratory data analysis, hypothesis testing, etc.
How do you keep the data secure and honor privacy agreements while using it in tools that pull the data onto your laptop?
Could you show us some examples of excellent data visualization and some examples of ineffective data visualization.
Just curious - looking to add data viz to my [non-data] skill set as I love code-making that has a visual aspect (I've done game dev and am currently a mobile dev)
How much do data visualization change depending on the industry? Would it be fair to say that if you're good at data visualization in one field you'll also be good in another?
Where & How do you start to forecast for 2020 when previous data is unreliable ?
What are advancements related to data visualization made in 2019 and what to look forward to in 2020?
What tools would you recommend for a small business interested in tracking their data? (For someone who doesn't know where to start)
How do you overcome a challenge of unreliable data?
How to overcome limited tool sets available
What actually is storytelling with data? Could you share practical tips and examples on how to effectively communicate with data? What's the best practice in creating better storytelling with data?
What is the best graphics tool to use for visualization?
Do you use JavaScript or Python primarily?
Can graphic design really find a way to faithfully represent data? After all, great graphic design is the ability to simplify ideas and feelings into a graphic. Data brings so much to the table...
How can you visualize a customer journey?
Many presentations use percentages alone to represent data, and sometimes this is the fastest way to communicate findings, but are there types of data where we should avoid using percentages?
Do you have any suggestions to help decide if it's a career good fit? What strengths does one need to excel at data viz?
How to be creative while working on visualizations?
How to stay motivated?
What would you recommend to someone who wants to start their career in data visualization?
How do I position myself as a data visualization professional within my organization although it is not my assigned responsibility?
Any tips for integrating data viz with narrative within a piece?
What is the most intriguing data visualization result you have encountered in your career?
What's the hairiest problem you've solved with a data viz?
How do you know which data is the most important to visualize?
How do you foster data quality awareness in a mid size B2B startup that’s just starting to generate dashboards & data visualization reporting cross functionally ?
What educational classes would you suggest for entry data visualization?
How to get started with in data visualization with only backend programming knowledge.
What resources are good for data storytelling?
How do I showcase my ability for data visualization on a resume/in interviews?
What are the main technical skills one should acquire when wanting to be a data visualization expert within an organization? (While, for instance, already having a good knowledge of UX and UI and...
What’s your process in breaking down data into visual design?
What are your strategies for getting executives to have more interest in data visualization and not just the ‘answer’
How did you become a data analysis
What are the main challenges to visualize (and understand) blockchain data?
How can we reduce the amount of false positives in the AML space through regtech?
Do you think data visuals should represent a particular view or allow the viewer to form their own?
How best to present visualizations when using a lot of slicers?
Why don't you like pie charts?
What advice do you have for presenting the same dataset to novice and expert consumers?
What are best practices for cleaning data (e.g. of outliers) but still maintaining integrity of the sample?
Best practices to showcase a different set of data via visualization frameworks. What data sets are better than the other?
What are the best tools for data visualization? Any freeware options? Pros and cons to different tools?
Is there a specific question you have for the speaker? Let us know!