The effective development of advanced data analytics solutions requires tackling challenges such as eliciting analytical requirements, designing the machine learning solution, and ensuring the alignment between analytics initiatives and business strategies, among others.
"More and more companies are deploying analytics solutions to help predict retention and correlate factors such as compensation, travel schedule, manager and demographics to understand why certain people are less engaged than others," said Josh Bersin, a principal at Deloitte Consulting.
Some emerging data analytics solutions can also improve the timing accuracy of synchrophasor measurements.
Electrical companies should consider certain amount of precautions to choose the right analytics solutions.
Traditional data warehouses, DBMS and analytics solutions of the last two decades have separated data from applications, resulting in large data movement, high latency and restricted data analysis.
Findings suggest that the framework provides an adequate set of concepts to support the design and implementation of analytics solutions.
