TIBCO Spotfire 10.3 Blog Image 2
TIBCO Spotfire 10.3 Blog Image 2
blogs/authors/brett-stupakevich
Brett Stupakevich
2019-05-23T08:40:00.000Z
eds-spotfire:topics/product-announcement
true

Four steps forward into the future of augmented analytics: Recapping Spotfire® 10.3

Building upon the momentum of the augmented analytics capabilities introduced last fall in Spotfire®, early user feedback proved essential for prioritizing several overall usability improvements in the latest Spotfire® 10.3 release. Below are the top new adds and feature enhancements—some automagical, some powered by artificial intelligence (AI).

AI-powered GeoAnalytics

Spotfire® recommendations engine now visualizes auto-detected relationships between selected columns and latitude or longitude more clearly, displaying them in maps. In what was already a revolutionary step towards AI-driven discovery with the augmented analytics capabilities in Spotfire®, Recommendations previously detected potential relationships between other properties in the dataset (e.g. longitude and traffic), suggesting a scatter plot to illustrate insights found. In 10.3, Spotfire® now also adds latitude along with longitude to such a recommendation as it’s typically more insightful for display on maps. Additionally, over 4,000 new GeoCoding boundaries are now available in maps.

S5iPc4OLRJHeQtTdAW8ECcXpXLGq6i17p3iSu 6wbhtzLk6UR Q Alckq3kihOnSRtGIHU5g7EyJgJH6gcO ZRRP301zf209aIJirbOUgRfbWbGgaxHEWEUJnGIjrGGXHE8gRMrh

Geoanalytics capabilities in Spotfire® 10.3 dashboards

Added data connectivity for Snowflake and more

Spotfire® 10.3 announced support of a native data connector for Snowflake, a cloud-hosted data warehouse with growing traction and market share. A flexible alternative to both traditional on-premise solutions as well as today’s major cloud players, Snowflake’s modern and scalable elastic cloud provides computing power on-demand: AI and machine learning workloads plus ad-hoc visual data discovery for live querying and on-demand retrieval—all within Spotfire.

Other new data connectivity introduced in Spotfire® 10.3 includes native support for MongoDB, MemSQL, and MariaDB.

Building a better user experience

Building upon the core Natural Language Query capabilities of Spotfire®,early feedback from users was key for prioritizing other contextual in-product guidance, including library browsing enhancements and general wayfinding. New sorting functionality along with hover interactions make for effortless locating of descriptions and shorten the road to insight.

XHcqzfBOmKmfCVkGAdxhVupBKO69XZwjc4 AVfaigArSJHqxi4e BYzCnQslb8CtfIRbgZUP7lhKwdK6AQNhrliJj64wO5krwhhU6qqMqYDhZSE2eJrUQXGHsC 3u4KoY9rlFWVX

Hover interactions within Spotfire® 10.3 dashboard

Simplified data wrangling

Front and center in Spotfire®, data wrangling capabilities are accentuated with the latest functionality introduced in version 10.3. It’s now possible to edit or remove top-level columns or custom hierarchies directly from the data canvas, these most recent enhancements to data cleansing workflows eliminate the need to hammer out formatting in another tool outside of Spotfire®.

For a complete rundown of Spotfire®, trial it today for free.