PanTera™ is a new interactive visualization technology that unlocks the richness of large datasets by enabling seamless multi-scale exploration.
PanTera technology provides a complete picture of your data faster by visualizing information without aggregation or sampling.
Pantera-based solutions enable a truly interactive investigation by allowing you to survey multiple scales of your data in minutes instead of hours.
High-resolution data visualization harnesses the power of human perception to rapidly identify patterns and anomalies.
More so than ever before, you have access to vast amounts of information and clients clamouring for results. Data driven decisions allow you to better optimize your offerings.
PanTera technology provides a powerful way to understand performance patterns and anomalies across geography, time and segments.
Working in the financial sector, small variations in the market can mean the difference between success and a missed opportunity. In the markets, nuance matters.
Powered by PanTera, analysts can visualize and interrogate massive amounts of tick data down to an individual order to understand positions in the market.
As people continue to migrate towards social media, understanding your customers and following conversations is paramount.
PanTera technology provides an intuitive social awareness platform that equips you with the ability to visualize, at scale, every social media post pertinent to your brand.
There is incredible opportunity in an increasingly connected world to leverage data of connected devices to increase efficiencies, identify new offerings and monetize data.
A PanTera-based solution empowers you to understand the geographic and times series information of billions of data records from a global or country level down to an individual data point.
Every point is plotted. Across orders of magnitude, years or the globe, effortlessly see it all. Above: Global geo-located twitter activity consisting of 987M tweets from July 1 to Sept. 30, 2014.
NYC Taxi pick-up and drop-off locations (374M points) include errors due to GPS Signal reflection amidst tall buildings and bad GPS fixes (pickup locations near, but off roads and locations in the rivers). This can be easily identified when plotting the raw data with no need for geo-fencing or other additional processing.
From Chris Whong’s 2013 NYC Taxi data set.
Identify patterns at multiple scales and dimensions. Above: An entire year of NYC Taxi fares (187M values) plotted by amount over time. Shows clear daily and weekly patterns, the effect of a snowstorm on high value fares and a March 3, 2013 increase in bridge and tunnel tolls shifting up bands of high value fares.
Techniques that bin, sample, and average data lead to loss of data nuance. By presenting all of the data, PanTera retains all the insights your data has to offer. Above: An anomaly is quickly, visually identified. Shown is a single location in Midtown Manhattan that originates taxi trips that yield a disproportionate number of small tips.
North American geo-located Twitter activity (1.2M Tweets) from January 2, 2014.
Additional social media monitoring capabilities coming soon.
See our lead product architect, Rob Harper, present at Data Science Summit 2015.
We have launched our blog. Check it out to see some of the things we are working on!
The PanTera team had a wonderful time at Spark Summit East! In case you missed it, you can see a recording of our demo from the keynote address as well as our technical presentation.
