What does this all mean? The emergence of AI and the widespread trends toward digital transformation and data-driven decision-making have created the perfect storm – too much data combined with outdated data retention and data lifecycle policies that haven’t kept pace.
Enterprises must reassess, rethink, and indonesia whatsapp number data modernize their data retention policies to not only secure corporate data but to maintain compliance with the expanding ecosystem of global data privacy regulations.
With the sheer volume of data sources extending across multiple assets and different systems in a variety of destinations, the complexity is unprecedented. As a result, organizations must reevaluate their data governance framework across the data life cycle, including data classification (e.g., automatic flagging of data and its duration), data protection, hygiene, and data destruction.
Once the drivers for the increase in data within the organization are identified, enterprises should take the following steps before diving into updating data retention policies: