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With the proliferation of data as well as the sensitization of its value, enterprises are increasingly strategizing and implementing multiple data and analytics (D&A) initiatives to generate actionable insights. As the D&A landscape grows with time in terms of size and complexity, redundancy is inevitable and hence calls for rationalization in terms of users, data as well as analytic reports and applications.
Under relentless pressures to continuously modernize in this fast-paced digital age, most businesses face perpetual modernization cycles, and hence must undertake various cloud and platform modernization projects. In case of absence of such major upheavals, even the status-quo puts a lot of demand on D&A leaders to achieve cost efficiencies.
There are several other business drivers which make the need for rationalization imperative. Mergers and acquisitions often call for consolidation of tools, systems and/or migration to new platforms. The other key driver is the need to stay abreast with the new capabilities made possible by tectonic technological shifts and evolving customer expectations within the constraints of stringent regulations.
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