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data and analytics / whitepaper
Ankoor Kulkarni
Head, Life Sciences, Healthcare and Public Services – Analytics & Insights, TCS
Amit Bajaj
Senior Consultant, Data for AI Practice, TCS
Harmandeep Singh Bhandal
Business Relationship Manager – Business Insights
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As data stored in isolation cannot generate any value or insights, enterprises are increasingly classifying them as assets of economic value and institutionalizing them in financial statements. It is crucial to understand the relationship between value and repeatable usage, time, divisibility, and quantity in order to identify whether and how the value of data should be reported in the balance sheet.
Like assets, the value curve of data decreases when they are not upgraded to include up-to-date records. Viewing data as the precursor to information and adapting the data, information, knowledge and wisdom pyramid can help generate information that translates to knowledge, resulting in overall wisdom.
Three methodologies can be established to value data based on its potential for usage:
Efficient Data Democratization with Data Marketplace Platform
Modernize your data centers with TCS Daezmo™
Maximizing the AI Potential with a 12-C Framework
Taking a responsible route to enterprise AI adoption