A PIM implementation is a major investment in digitising your product-centred business. You probably have a lot of questions you want to ask. In this article, we select 5 of the most commonly posed questions to help you decide to move ahead with your PIM project.
MDM projects can be highly successful, but they are fraught with perils if the right planning is absent. We look at the six most common pitfalls and how to avoid them.
Naturally, when it comes to your master data, your holy grail is to achieve the ‘golden record’ – the most accurate, complete, and comprehensive data which can be safely used for any application across the enterprise. We analyse how to go about ensuring you create a golden record for all your data.
Data cleaning is a prerequisite for ensuring you are using high-quality product data when you embark on a migration project. Here, we examine why it is so crucial, what tools you can deploy and the best practices for cleaning
We outline the main factors to consider when comparing PIM platforms and solutions. We have then chosen ten popular PIM solution providers, providing an easy-to-consult comparison table followed by brief comments about each vendor –capabilities and best use in terms of sector, company type(s) and size.
Using a PIM solution for your ecommerce strategy is the only way forward for those businesses who want to stay ahead of the competition. High-quality, consistent and updated product information is guaranteed across all channels.
Data migration is a critically important part of a PIM or MDM implementation project. Get it right, and go-live is smooth and seamless. Get it wrong, and you are piling up problems for later. In this article, we look at the best tools to ensure your migration project goes as you want it to.
If PIM is key to optimising how product-centric companies manage their product information, PIM for marketing is what turbo-boosts how that information can be used to create stunning product experiences.
No two data migration projects are the same, so the methodology used will vary from case to case. However, for Start with Data, the basis of any successful transformation project lies in the application of our four-step model.