CIO OPINION
Data indexing and classification provides clarity and control over stored data .
Mark Molyneux , EMEA CTO at Cohesity
The three pillars of modern business : Scalability , security and compliance
Mark Molyneux , EMEA CTO at Cohesity , explains that achieving a balance between scalability and security in data management requires a holistic approach – integrating modern data protection technologies , robust governance frameworks , scalable infrastructure and stringent cybersecurity measures .
In the AI and digital age , an overwhelming amount of data is being generated , approximately 400 million terabytes each day , from a myriad of sources . Everything from social media interactions to professional communications , shipping timings to customer data – all this has to be stored somewhere .
Managing this data efficiently while ensuring compliance with an increasingly complex regulatory landscape is a significant challenge . However , by adopting a strategic approach that balances scalability and security , businesses can navigate this landscape effectively .
One of the foundational pillars of effective data management is data indexing and classification . Without a clear understanding of what data is being stored , why it ’ s being stored , its value and who may access it , it is impossible to manage storage efficiently .
This can have significant knock-on effects such as difficulty to comply with regulations through an inability to provide accurate data for auditing , or the ability to leverage it for innovative opportunities , such as the recent advancements in AI .
Taking a step back always helps when it comes to creating an appropriate data strategy . Data indexing and classification provides clarity and control over stored data , which is crucial for maintaining strong data hygiene .
The value of data indexing and classification When businesses index their data , they gain comprehensive knowledge about it , including details such as time , date , age , size and creator . Classification further enhances this by identifying what the data is and determining how long it needs to be retained
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