Visual analytics continues to be a central pillar of our R&D efforts as it puts the power of data into the hands of more people. This area is far from being commoditized and there are many innovations that we’re working on to help you think with your data.

We’re adding rich features like visualizations in tooltips, drill-down improvements, new chart types including step lines, and the ability to add images to headers, labels, and tooltips. We are giving users more flexibility with legends per measure and nested sorting.



Legends per measure

We’re also investing in sophisticated geospatial analysis to help you answer more questions from geographic data. In Tableau 10.2, we are adding spatial file support, and that’s just the beginning. We will also add spatial operations like filters and calculations so you can ask questions like how many customers live within a mile of your store. And with layers, you’ll be able to map different data sets on a single view with just a few clicks.

Our advanced analytics features will help you get to the root of your question, no matter how complex it is. We want to bring the power of data science to more users without requiring any programming. You can already perform clustering, forecasting, and trending with a simple drag and drop. You’ll see more algorithms such as outlier detection and sentiment analysis coming in the future.

We also want to enable data scientists to bring rich models directly into Tableau. You can now embed R and Python models in Tableau for interactive analysis. In the future, you will be able take advantage of cloud-based machine-learning platforms to bring even more scalable algorithms for interactive analysis.

Tableau has made it easier and easier to answer richer and richer questions. But what if we could look at what you’re doing and be one step ahead of you, answering new questions for you automatically, helping you interpret what you’re seeing, or suggesting next steps? We’re adding powerful machine-learning algorithms directly within Tableau to recommend the appropriate views, fields, tables, and joins to help you answer questions more quickly.

And soon, we will enable new conversations with data through smart analytics. With natural language processing, you will be able to interact with your data in more natural ways through voice or text.

We're also adding machine learning directly to Tableau to make it easier to find the data and views to answer key questions. This will provide recommendations so you can perform better analysis faster.