Securely Migrate Your Product Data with SmartSwitch
Our SmartSwitch offering combines cutting-edge SaaS PIM software with comprehensive taxonomy, enrichment, and migration services backed by our team of technical experts. Designed to provide enterprises with better options for cleansing and managing their product data at scale, SmartSwitch provides peace of mind during your migration.
When is the time to adopt a new PIM?
Although many legacy PIM systems were created to meet the business needs at their origin, many have failed to keep up with industry, data scalability, and compliance changes. Some companies leverage spreadsheets as their PIM solutions, creating an overly complicated, time-consuming, and error-prone method of data management. Others create homegrown PIM-like solutions that were tailored to initial business requirements but are difficult to continue to develop or align with future-oriented PIM software benchmarks. As data and company needs have changed, these older systems cannot keep up with the digital needs of the modern business. 🚧
Many legacy PIM systems were designed for heavy reliance on an IT team and external systems integrators for maintenance, support, and upgrades that require heavy custom coding and scripting to make changes as the business evolves. With modern solutions, like Convergence Data's SaaS PIM, no coding is required to run a search query, create reports, or update and maintain the data model, allowing anyone on the team to learn how to navigate and manage your aftermarket parts and sellable SKU data easily.
Other challenges may include a lack of bulk data quality management capabilities, or an inflexible data model that doesn’t scale with the business and can't be easily transformed. 💔 If your team is facing these issues, which ultimately slow down your growth and cost your organization money, it may be time to look into migrating to a new PIM.
What happens to the data during migration?
If your team is planning to migrate off of your existing PIM or legacy solution, it will be critical to address the current state of product data quality and completeness. Often, the data housed within legacy or homegrown PIM solutions is not optimal and may lack a sound taxonomy structure coupled with insufficient, inconsistent, or overly duplicative attribution. To get ahead of this challenge, assessing and analyzing the current state data model and associated attribution will help to identify gaps, inaccuracies, and inconsistencies in the product data.
👉 Ideally, data should be transformed prior to migrating it to the target state platform. Migrating the existing data as-is will likely result in prolonging issues of item findability, data quality, accuracy, and completeness...which ultimately means missed sales conversion opportunities, higher customer return rates, shopping cart abandonment, and lower customer satisfaction.
This means eliminating duplicates, correcting errors, and standardizing formats, which enhances the quality of your product information. Clean data will ensure smoother migration, reducing the risk of data loss or corruption. It will also improve the efficiency of the new PIM system, enabling better data management and item findability. Additionally, clean data facilitates compliance with industry standards and regulations, particularly important in complex fields like HVAC. Overall, data cleanup lays a solid foundation for leveraging the full capabilities of the new PIM software, driving better business outcomes.
What are the benefits of using SmartSwitch?
SmartSwitch provides a safe way to address your current PIM constraints and product data issues while protecting your in-flight data during the migration process. Our offering ensures your data integrity and minimizes operational risks and downtime, enabling your team to stay ahead in this competitive market while you shift your platform strategy toward success in marketing and selling your products.
📝 Contact us for a free discovery call to discuss your data needs and see if SmartSwitch is the right option for your company.