The below excerpt showcases the distinctiveness and acumen of a holistic AI company – TransOrg Analytics that is consistently striving to roll out intelligent and scalable solutions for the betterment of its customers.
Solving enterprise problems with AI
@TransOrg_Analytics partners with @CAPA_Aviation #CAPA_India_Aviation_Summit_2017 #TransOrg #Analytics #CAPA_Aviation
India’s aviation market is at a critical turning point against a backdrop of improving economic confidence and a new government with a reformist agenda. As Indian aviation prepares for the next growth phase, the CAPA Summit has been convened to help shape critical decisions.
Predictive analytics is not new, but has now become familiar and affordable for enterprises in building marketing programs, identifying risks and making fact-based decisions. Enterprises have understood that proactive customer engagement, security, fraud detection and risk management are the areas which are needed to be dealt with.
Many big data solution providers today offer broad business intelligence and technology platforms due to which enterprises are forced to compromise on flexibility and cost while gaining little advantage overall.
The magic of mathematics has enchanted the human era since time immemorial. Many scientists and mathematicians have spent their entire lives unraveling the mystery of various mathematical concepts. And yet, mathematics still has an infinite scope for more.
Here’s the story of TransOrg Analytics, a Predictive Analytics and Big Data company that helps clients in driving their customer acquisition, engagement and retention initiatives profitably.
Ten years ago, if a marketer told you he has a mine of data on his consumers what would you imagine would be the source and size of this information? Well, it would be a compilation of data the consumer would volunteer to offer while filling up her credit/debit card application form, a snapshot of her mobile phone usage pattern and may be the information captured by the odd loyalty card offered by her favorite retailer or airline.
