DATA ANALYTICS
“ To make the most of organisational data , build a cross-functional team , and make sure everyone is involved ”
JOHN SPOONER HEAD OF ARTIFICIAL INTELLIGENCE , EMEA , H2O . AI
The democratisation of access to data analytics has happened for a number of reasons , according to H2O AI ’ s John Spooner : without relying on a siloed department of experts .”
The future of connected data will of course involve expanding to hitherto untapped sources , but it will also require technological advances . “ A decrease in the time to insight , as advancements in hardware such as chip design , automation in many parts of the analytics process and embedded analytics directing into applications that business users will utilise , will enable employees to get answers to their business questions in seconds , rather than having to wait hours or in some cases
1 . Technology advancements such as cloud , big data platforms and GPU processing now allow employees to process a large amount of data quickly and at an affordable initial investment .
2 . The growth of open-source analytics frameworks and interactive analytics dashboards have enabled employees to have access to affordable software that enables them to quickly gain insight from their data .
3 . It has been proven through many use cases that data analytics deliver massive returns on investment for organisations , allowing them to increase revenues and reduce cost . aimagazine . com 79