Enterprises are facing huge data management needs.Synology recommends 3 key-effective solutions

In order to explore business opportunities or meet stricter security requirements, enterprises have introduced many new operating methods, which are often accompanied by challenges such as storage requirements for large amounts of data and backup protection.

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For example, manufacturers need to store images of production lines or pre-delivery stages to resolve potential disputes. Retailers examine long-term collected transaction records in-depth to determine the probable demands of their clients. They even utilize the records as training data for precise AI recommendation systems.

The success factors in these examples are closely related to businesses’ IT and data architecture, as well as maintaining a regular budget for purchasing storage devices to keep up with growing data demands. As the infrastructure expands, the challenges of device and data management increase. Selecting the right solutions is crucial for businesses to effectively overcome these obstacles. Synology’s recommendation for choosing the best option centers around one key word: “cost”.

After compiling our experience serving over 150,000 clients globally in a variety of sectors, including technology, telecommunications, biotechnology, and media, we have concluded that when businesses implement large-scale storage solutions, they should assess the cost from the following three aspects:

First, predict the growth pattern of data and decide whether the capacity will be available at once or expanded in batches

Predict data growth and plan capacity accordingly

First, enterprises should assess their current data storage needs and future growth patterns to select appropriate hardware. This avoids budget wastage from procurement errors. Synology categorizes enterprises into two types:

1. Organizations with existing data or clear estimates of future storage needs within the next 3 to 5 years.

2. Organizations with minimal current data and uncertain growth, requiring scalable solutions based on actual needs.