Tableau democratises visualisation in an elegantly simple and intuitive tool. It is exceptionally powerful in business because it communicates insights through data visualisation. In the analytics process, Tableau’s visuals allow to quickly investigate a hypothesis, sanity check the latter, and just go explore the data before embarking on a treacherous statistical journey

Type of content: Assets
Type of asset:
Big data potential
Policy domains: Innovation, Science & Technology
Phase in the policy cycle:
Policy Design and Analysis
Open license availability
Tags: BI Data analytics Real time information
SWOT Analysis for
Tableau Public
Helpful Harmful
Strengths• Create visualizations with ease: Save and store your visualizations on your Tableau Public profile (10GB of space). Personalize your profile and connect with other authors.
• Share your visualizations with the world via social media or embed them on a site or blog. Your published vizzes are always live and interactive.
• Automatic mobile layouts: Build mobile-friendly dashboards in seconds with automatic phone and tablet layouts. Use the layouts as they come or customize further to create the best mobile experience for your dashboard.
• Dashboard grids: Gridlines appear as an overlay above dashboards to help with better visual alignment of dashboard elements. Toggle on or off as desired. See a preview of dashboard zones when moving their position for better layout alignment and design and use keyboard arrows to nudge or resize.
• Transparent filters, highlighters, and parameters: make filters, highlighters, and parameters transparent, making it easy to have a consistent look across your entire dashboard.
• Spatial join: join datasets where the only common element between the two is location. Easily analyze points within a geographic area for deeper understanding of spatial data.
• Lets bloggers publish data visualizations on any topic, and make them interactive making it accessible to the reader
Weaknesses• High implementation /customization cost
• No open license availability
• Limited Data Pre-processing.
• Tableau is strictly a visualization tool and allows you do to very basic pre-processing.
• Doesn’t offer entire business analytics suite.
• Import limitations: any new visuals need to be recreated instead of imported.
Opportunities• In 2020 the world will generate 50 times the amount of data as in 2011 and 75 times the number of information sources (IDC, 2011). Within these data are huge opportunities for human advancement.
• Increasing interest in data science, artificial intelligence, and machine learning
Threats• High competition
• Very expensive product to scale across a large organization. compared to cheaper and more well rounded BI tools.
• Increasing interest in data science, artificial intelligence, and machine learning,
• Doesn’t offer entire business analytics suite.

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