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How to establish a positive team culture
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Why is Data Visualization important for Product Managers?
While you don’t have to be a Data Scientist to be a Product Manager, you have to be comfortable with data.
In a smaller startup or for your own side project, you’ll be the person picking the platform!
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Platforms for Data Visualization
- Tableau is the biggest data visualization tool out there. It has a very intuitive design and is very easy to learn for beginners.
- Chartio is an excellent choice for businesses seeking a more seamless way to share data across multiple teams. Popular w...
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Choosing the Right Data Visualization Tool
- If you’re choosing a platform for your team, it needs to be something that matches their skillset.
- How easy a tool is to learn is also key. You don’t want teams spending months just to gain proficiency with a data visualization tool.
- You need...
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What is Data Visualization?
Data visualization is the graphical representation of information. Graphs, charts, maps, and tables are powerful communication tools, helping to make data more accessible.
Good data visualization helps you to unlock new insights, monitor your KPIs, understand user behav...
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Programming Languages for Data Visualization
Python, R, and SAS can create awesome visualizations and can be a great addition to any platform.
With programming languages, you can also make some very specific visualizations. On the other hand, the more complex the visualization, the more complex the programming! It’s b...
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Other curated ideas on this topic:
The impact of product ops
As your company matures, ensure to appoint someone to care about the holistic experience.
- This person should be focused on collecting and communicating data coming out of experiments, and
- Guiding everyone to build features and run tests that connect to company goals.
Product Manager: Vision & Strategy
You own the vision, strategy, and roadmap. You know the market, our users, the product, and the competition. You create innovative product plans that address real user needs.
You make the right judgments, repeatedly. You tell the story of what we’re building, how we’ll get...
Research planning: Choose your data and methods
At some point, you'll need to consider which data source and analytical strategy are most likely to give the answers you need.
- Consider whether your question would be best addressed by qualitative data (interviews, observations, or historical re...
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