In this series we ask our partners 5 questions on their perspective of the product data management market, what their solution offers, and the kinds of customers they work with. Our vendor partner Winshuttle provides the answers about their Enterworks PIM platform.
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.
In a product data migration project, testing your data is a key step before embarking on the major phases of the process. This means validating and verifying the data you are planning to migrate.
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.
Why is a consultant partner essential for you to navigate a PIM implementation project successfully? We take a brief look at the key added value of consultancy expertise and developing a compelling business case.
A PIM implementation project throws up a lot of complex challenges. We look at ten of the most significant – the factors to bear in mind, and why you need to be on the ball well before starting the project itself.
The acceleration in eCommerce adoption makes a PIM system ever more essential, as the volume of product information grows exponentially. The gains of a PIM encompass revenue, competitiveness, and sustainability.
There are several types of industry data standards out there, and this brief overview will help to clarify exactly what they are used for and at whom they are aimed.