Hotels.com has to make big data analytics work effectively so wise to see this summary of the 5 key success factors.
Not least selecting a list of just 10 use cases to prove the concept and ensure quick success. Too many projects are too complex, covering too many use cases and are late, time and money consuming and die a slow death.
Chose an agile BI Platform that can help you achieve this and be integrated into everyday business processes
Regarding cost, time and organisational restraints, project leaders should always keep sight of long-term development to build a reliable, efficient and future proof platform. Scalability is an important component in long-term planning to ensure that the technological platform is able to keep pace with the ever increasing flood of structured and unstructured data. CIOs should start to integrate the analytics processes into everyday business once the platform has been established and first use cases have yielded results. Only when this has become business as usual should IT and data teams address new projects to advance the company’s business even further.