High data storage and processing cost in relational databases and legacy mainframes.
Outdated and redundant data hindering performance and productivity.
Inability to capture, analyze and act on the information/data in a faster environment.
Lack of available experience and expertise in designing, developing and testing end-to-end Data Solutions.
Inability of the existing infrastructure to cope up with the increasing data and analytical needs.
Difficulties in complying to the legal requirements due to huge volume of data from multiple sources.
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