See how Watson analytics differs from other platforms by integrating natural language dialog processing, cognitive starting points, and fully automated, unbiased predictive modeling tools.
- [Voiceover] There are obviously a number of…business intelligence tools out there…so let's talk about what sets…Watson Analytics apart from the rest.…First off, there's a minimal learning curve…required to use the platform to its full capacity.…Watson Analytics is designed to support…the analytics process in a way that…allows both novices and experts alike…to engage with data and explore insights…within minutes, not days or weeks.…Second, Watson Analytics is one of…the only tools to use natural language dialog…to help guide analysis.…
What that means is that you don't have to know…specific query languages or coding syntax,…you can explore recommended insights,…visualizations and models based…on questions that you ask in your own words.…While most analytics is done with…a specific hypothesis or end goal in mind,…Watson Analytics enables truly unbiased analysis…by automatically detecting correlations,…hierarchies and trends in your data…and dynamically serving up cognitive starting points.…These are recommended visualizations, models…
Released
10/4/2016- Reviewing key differentiators
- Navigating the 3 Ds of Watson Analytics: data, discovery, and display
- Importing, joining, and refining data
- Using natural language querying
- Understanding key drivers
- Interpreting decision trees
- Displaying insights
- Assembling multitabbed displays and dashboard filters
- Modifying and sharing displays
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Video: Reviewing key differentiators