Selective data synchronization¶
Introduction¶
Selective data synchronization eliminates the need to process and transfer entire datasets, focusing solely on the modified or new data elements.
Unlike traditional methods that synchronize all data indiscriminately, this innovative technique focuses on synchronizing only the data that undergoes changes.
In this article, we explore the advantages of this approach and how it can enhance the integration of cloud-based systems. But first, let us see an example of selective data synchronisation in Sesam Talk.
Example of selective data synchronisation¶
Within a CRM system, a deal moves through the sales pipeline, typically involving a customer, a contact person, line items, and often several quotes.
Sesam Talk will not synchronise this deal until it is won, ensuring that only pertinent data regarding successful deals and orders reaches your ERP system. Unsuccessful or ongoing deals, along with their associated information, will not unnecessarily burden the ERP system.
Conversely, all customers already present in your ERP system will automatically synchronise with your CRM system, as it holds relevance for the specific requirements of the CRM system.
Faster sync times¶
By synchronizing only the data that changes, organizations can significantly reduce the amount of data transmitted between systems. This approach optimizes bandwidth and API usage, especially when dealing with large datasets or when connecting systems over limited network resources. As a result, the sync times are noticeably faster, enabling near real-time updates and ensuring that the latest information is readily available across integrated systems.
Minimized data conflicts and improved data quality¶
When synchronizing only the changed data, the potential for data conflicts is significantly reduced. Conflicts often arise when multiple systems independently modify the same dataset simultaneously. By selectively synchronizing modifications, the chances of conflicting changes are minimized, preserving data integrity and maintaining consistency across integrated systems. Consequently, data quality is improved, ensuring accurate and up-to-date information throughout the organization.
Greater flexibility and scalability¶
Selective data synchronization provides your organization with greater flexibility in integrating various cloud systems. As new systems are added or existing ones are updated, selective synchronization allows for seamless integration without disrupting the entire data ecosystem. This scalability enables you to adapt to evolving business requirements, integrate additional systems with ease, and cater to future growth without compromising system stability.
Enhanced security and compliance¶
Data security is a paramount concern for organizations handling sensitive information. Selective data synchronization reduces the risk of unauthorized access and potential data breaches by limiting the transfer of information to only what is necessary. By synchronizing only the changed data, the attack surface is reduced, making it easier to implement stringent security measures and comply with regulatory standards such as GDPR (General Data Protection Regulation) or industry-specific regulations.
Conclusion¶
Selective data synchronization presents a significant advancement in streamlining the integration of cloud systems. By focusing on synchronizing only the modified or new data elements, organizations can optimize bandwidth usage, improve efficiency, minimize data conflicts, and enhance overall system scalability and security. With these advantages, businesses can harness the power of cloud-based systems more effectively, ensuring seamless data management and facilitating informed decision-making throughout the organization.