31 January 2017 | by Tim Bock

Displayr’s Product Roadmap (Revised 3 November 2017)

Displayr Roadmap

This blog post is updated semi-regularly. It was last updated on the 3rd of November 2017.


Recap: the last few months

  • We left beta about a month ago. You can now pay to use Displayr!
  • You can now create really cool dashboards. Checkout this post for links to different examples.

Usability

Our number one priority for the next six months is usability. Displayr will become a lot more intuitive. Intuitive for you to figure out. Intuitive by figuring you out.


New visualizations

Over the next month or so you will see:

  • Bean plots
  • Violin plots
  • Density plots
  • Histograms
  • Waterfalls
  • Streamgraphs
  • Packed circle bubble charts
  • Venn diagrams

Insert > Shapes

The ability to insert and format standard PowerPoint-like shapes (boxes, lines, stars, etc.). These export to PowerPoint as PowerPoint shapes.


Advanced analytics

Our second big push for the next six months is in advanced analytics:

  • Long-running calculations for more complex analyses (up to 48 hours).
  • Run multiple long-running calculations at to the same time (no need to wait for results)
  • Hierarchical Bayes for MaxDiff
  • Hierarchical Bayes for Choice Modeling
  • Experimental designs for choice modeling

Integrating charting and visualizations

Currently, charting and visualization work a bit differently. We will be integrating them and, at the same time, making them more flexible in terms of the data that they support.


Search

A search tool to search through your data, your reports, and our menus and documentation.


Longer term

In the longer term, our focus will be more on speed and larger data sets.

What have we missed? What is it that you want us to focus on? Please send me an email with any thoughts or feedback that you have (tim.bock@displayr.com).

Author: Tim Bock

Tim Bock is the founder of Displayr. Tim is a data scientist, who has consulted, published academic papers, and won awards, for problems/techniques as diverse as neural networks, mixture models, data fusion, market segmentation, IPO pricing, small sample research, and data visualization. He has conducted data science projects for numerous companies, including Pfizer, Coca Cola, ACNielsen, KFC, Weight Watchers, Unilever, and Nestle. He is also the founder of Q www.qresearchsoftware.com, a data science product designed for survey research, which is used by all the world’s seven largest market research consultancies. He studied econometrics, maths, and marketing, and has a University Medal and PhD from the University of New South Wales (Australia’s leading research university), where he was an adjunct member of staff for 15 years.

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