10 Ways That Companies Are Reducing Data Storage and Retention Costs

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We’re assisting a company in backing up and migrating their Universal Analytics data. If there was ever a great example of the cost of data, this is it. Analytics captures data non-stop and is presented by hour, day, week, month, and year. If we wish to make all the data accessible, the client can spend tens of thousands of dollars in storage fees… not to mention the cost of querying the data and processing reports. Ultimately, the solution will be two-fold: A reporting and data solution that balances the analysis needed regularly and the cost to store and manage that data. An affordable backup of all data if we need to access it later. As storage costs dropped, companies began to ignore the volumes of data they were acquiring, capturing, and storing over time. Corporate data stacks continued to expand, data capture points increased, and hundreds of sources are now adding exponentially to corporation’s data. Volume of data created and replicated worldwide Source: IDC It’s not an inexpensive issue: Businesses spend an average of .5 trillion per year on data management, and that 30% of that spend is wasted on unnecessary or inefficient data storage and retention.

Data Age 2025 The average enterprise spends $1.2 million per year on data storage and retention, but that 30% of that spend is wasted on unnecessary or inefficient data storage and retention. Forrester One way to better manage your data costs is to incorporate a data retention policy and appropriate organizational activities. Data Retention Policy A data retention policy is a set of guidelines and rules Kazakhstan WhatsApp Number List established by an organization to dictate how long various types of data should be stored and how they should be managed throughout their lifecycle. This policy is crucial for maintaining data governance, ensuring compliance with legal and regulatory requirements, and optimizing data management practices. Only 35% of businesses have a data retention policy in place. IBM In the context of sales, marketing, and online technology, a data retention policy may specify how customer data, sales leads, marketing campaign data, and other relevant information should be handled.

Here are the key aspects of a data retention policy: Retention Periods: Define the duration for which different types of data should be retained. This can vary based on legal requirements, industry standards, and business needs. For instance, financial records may need to be retained for several years, while temporary marketing data might have a shorter retention period. Access Control: Specify who has access to various data types within the organization. Access should only be restricted to authorized personnel to prevent unauthorized use or disclosure. Data Security: Implement security measures to safeguard data during its retention period. This includes encryption, access controls, and regular security audits. Data Backup: Regularly back up data to prevent loss due to system failures, data corruption, or cybersecurity incidents. Data Deletion: Define procedures for securely deleting data when it reaches the end of its retention period or when requested by data subjects (e.g., customers). Ensure compliance with data privacy regulations, such as GDPR or CCPA. Audit Trails: Maintain audit logs to track who accessed the data and when, which can be useful for compliance and security purposes.