How are Data Teams structured?

The latter half of the 20th century saw the gradual consolidation of “data science” with key developments in the field of computer science. Several studies and surveys were conducted on the analytical techniques and data processing methods. This, along with technological advancements in the field of artificial intelligence, machine learning and other related fields, provided […]

How are Data Teams structured?
The latter half of the 20th century saw the gradual consolidation of “data science” with key developments in the field of computer science. Several studies and surveys were conducted on the analytical techniques and data processing methods. This, along with technological advancements in the field of artificial intelligence, machine learning and other related fields, provided the base for the exponential expansion of data stockpiles in the 21st century. As data gained value as an asset for organisations, they turned to data science to derive crucial insights for better business outcomes. Many enterprises established data science wings. Being a relatively new and emerging field, these wings were initially under the direct control of core executive leadership. With time, it came to
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