Data engineers are vital members of any enterprise data analytics team, responsible for managing, optimizing, overseeing, and monitoring data retrieval, storage, and distribution throughout the organization.
Every year, around $1.8 billion (SEK18 billion) is incorrectly paid out of welfare systems in Sweden. But with the use of automation and data analytics, payments will be centralized and monitored at a new IT-based authority.
A solid data management strategy can reap rewards for any business seeking to capitalize on the value of data. Still, the road to data-driven decision-making remains rife with challenges and conundrums.
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