Data Engineering, Data Quality, Data Governance, Data, Analytics.
leads to loss of trust in data and incorrect decision-making, putting the decision of having 1–5% of the company’s headcount in data roles into question. Second, companies increasingly invest in business-critical systems such as ML or user-facing analytics directly powered by the data warehouse