Today enterprises are in the midst of a transformation that compels them to be analytics-driven to remain competitive in the coming years. Analyzing their data will not only enable
them to get a thorough insight into their business but also give a significant competitive
edge in the marketplace. Example of analytics-driven activities includes service innovation,
customer experience improvements, detection and remediation of anomalies, and
reduction in time to market for products and services. To meet the need for analytics-driven
activities, businesses need to collect, analyze, and store more and more data, often from
their diverse sources. They should also adopt such tools and workflows that allow them to
quickly and continuously analyse results from stored and transient, high velocity and
volumnious data and change their business functions accordingly. This means the systems
will be more agile than their predecessors.
