The Challenges of Modern Data Ecosystems
In the digital economy era, information is the blood of companies. Businesses rely on robust data ecosystems to power AI models, drive customer insights, and achieve other objectives.
Yet, as these ecosystems become bigger and more complicated, they also introduce certain challenges and pose challenges to efficiency and decision-making.
Top Issues with Modern Data Ecosystems
An investment in good governance and monitoring practices will ensure that data becomes a valuable asset, rather than a liability. Here are some of the key challenges.
Data volume and variety
The proliferation of data across various sources, including social media, IoT devices, enterprise systems, and cloud systems, results in a continuous stream of both structured and unstructured data.
The issue with such diversity is that it is highly challenging to control that and yet stay consistent as a data team.
Data quality issues
Duplicates, errors, and incomplete records tend to creep into datasets, thus …
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