Determining Data Equity: Capture and Calculate Valuation at Risk

摘要

1. Cut the noise - (1) Valuation of what data/metric carries predictive potential (ex. audits) (2) Balance privacy, storage, investments accordingly to data valuations 2. Maintenance - (1) Staffing commensurate to data equity valuations and industry peers (privacy, legal) (2) Data breach, security and disaster recovery (ex. stress testing) 3. Double down- (1) Monetize data/attributes that drive other revenue streams (2) Build in KPIs to track data equity strategies (ex web bounce rates) (3) Investments in new analytic talents and technologies.