Platforms feature in "Gartner's 2016 Hype Cycle" report.  as one of the three key trends that those seeking competitive advantage should track.

360Globalnet

implements this approach to the digital transformation of the insurance and other industries. These organisations mostly suffer from untransformed gaps that cannot be analysed and therefore limit effective decision making e.g. 

  • operations & customer relationships
  • supplier chain & supplier relationships
  • Field service and customer support
  • Facilities Management & Emergency Repair
  • Installation and connection of digital services

Too many organisations get carried away with planning advanced projects before bridging those gaps. Until you have done so think very carefully before planning

  • self-service BI & analytics, 
  • AI and machine learning
  • Big Data Projects

Results will be mixed at best whilst these most important gaps remain highly manual and outside the direct integration with enterprise systems. Why is digital transformation put on the "To Do List"?Normally because these enterprise systems are legacy, mainframe-centric and hard to maintain never mind modernise.

Luckily platforms can bring the benefits of digital transformation without having to replace the legacy systems. This tackles the fear that such transformation can only be achieved without considerable disruption.

The critical success factor is to have a visionary leadership and C-Level team able to carry the whole organisation in a committed goal of culturally transforming to achieve the benefits of digitally connecting customers, the enterprise, subcontractors and suppliers in real-time.

Customers are then able to see how their insurance claims are progressing, contribute directly with necessary information which is shared with contractors and suppliers. Those replacing or repairing vehicles, house contents or damaged buildings are likewise digitally connected in real-time ( when necessary) with customer service, project management and claims management teams to agree and action remedial work.

Analytics then works off a complete picture (complete data rather than big data) giving 360 degree insight into past, current and predicted outcomes.

Only then can the whole organisation plan and implement predictive analytics and apply machine learning and Artificial Intelligence.