TIBCO Software' data science solution has been placed highly on various analyst reports on data science and machine learning.
It received a 9.0 rating from customers on TrustRadius, the highest of any data science solution listed.
TIBCO Data Science supports collaboration and automation in analytics through machine learning and smart recommendations, with a drag-and-drop interface.
It also recently ranked in the highest scores for Business Exploration, Production Refinement, and Nontraditional Data Science use cases in the 2019 Gartner Critical Capabilities for Data Science and Machine learning Platforms report.
TIBCO says this ranking, plus high placement in the 2019 Gartner Magic Quadrant for Data Science and Machine learning Platforms report, further validates TIBCO's advanced data science and analytics capabilities and industry leadership.
As an example of how TIBCO's solution can be used to approach global issues, the company highlights its work with Data-Shack, a South Africa-based data science company that helped reduce endangered rhino poaching by 20% between 2014 and 2017 by identifying likely perpetrators.
“Data science and machine learning are well known in the business community as tools that reduce costs and improve processes, but their full power lies in how we use them to improve the lives of those around us,” says Data-Shack managing director Anni Toner-Russell.
“By leveraging TIBCO's data science and analytics tools, we were able to piece together a cohesive story and profile of potential poachers, which in turn allowed us to make a positive impact on the endangered rhino community.
TIBCO chief analytics officer Michael O'Connell says, “Data science and machine learning are key to making significant changes both in business and society.
“As such, we've made it a priority to deliver exceptional products that better connect, unify, and augment organisations' existing intelligence and enable teams to quickly develop new predictive insights that improve day-to-day decision-making.
“To us, it's rewarding to see the continued industry recognition of our products and realise the impact that strong analytics and data science capabilities can have on a global scale. We're proud to work with companies on data science initiatives for the greater good.