ASSESSING VC RISK
VENTURE CAPITAL
SHOULD RISK MANAGEMENT BE FULLY AUTOMATED TO DRIVE EFFICIENCIES UP AND COSTS DOWN , OR INCLUDE HUMAN ELEMENTS TO ENSURE OPTIMI SATION AND BEST PRACTICE ?
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ASSESSING VC RISK
Technology ’ s ever-encroaching reach knows no boundaries and in the realm of risk management , automation is not only being used for repetitive , mundane tasks but also narrative reporting and broadening data contexts .
Data analytics can form a single and authoritative ‘ point of truth ’, as opposed to hundreds of differing perspectives , and be used to more accurately predict risk in-situ , as well as give full-spectrum applications throughout an organisation . AI , in particular , looks set to transform corporate accounting and could account for 30 % of audits by 2025 .
By then , half of global midmarket and large enterprises will depend on risk management solutions to aggregate digital risks in their business ecosystems , up from 10 % in 2018 , according to advisory and accounting firm Richey May .
JANUARY 2021