•Changes in IT systems.
•Presence of Data science teams
•Collaboration between Datascience and IT teams for tuning and performance monitoring.
Keeping in mind above bareers lot many players put analytics at back burner. An alternative framework can be a solution to this problem. Clients can ask their vendor for cloud based offering with subscription based pricing model. This will in effect transfer responsiblity of monitoring,tuning and maintaining infrastructure for decision system back to the vendor. Such a delivery model would also bring down TCO by not requiring in house data science teams.
Even clients having well established analytics competency centers can benefit from migrating standard analytics frameworks to such a model and have analytics team focus on newer work areas. Notwithstanding data security challenges such a framework makes a strong case.