Data is one of the most valuable assets a business can have. Managing this data throughout its lifecycle can be challenging. Data lifecycle management (DLM) refers to several processes and policies. They govern the handling, storage, and eventual disposal of data.
Businesses generate and store vast amounts of data. As this happens, the importance of effective DLM becomes more critical. Navigating the challenges of data lifecycle management requires a comprehensive approach. One that balances security, compliance, and operational efficiency.
Understanding Data Lifecycle Management
Data lifecycle management involves the governance of data. It starts from its creation to continues to its eventual disposal. The lifecycle includes several stages:
Did your company’s software system once seem sleek and nimble? But now it resembles a tangled web of shortcuts, patches, and workarounds. Welcome to the realm of technical debt. It’s a silent saboteur that accumulates over time, threatening your efficiency.
What Is Technical Debt?
Think of technical debt as the interest you pay on a loan you never intended to take. Technical debt accumulates when companies choose shortcut IT solutions. Rather than better, longer, more sustainable ones.
Initially, it seems harmless. But as your system grows, those hasty decisions compound. This slows down progress and creates future complications.
Addressing technical debt is essential for maintaining a robust, efficient technology environment. Here are eight strategies to tackle technical debt at your...