Excellent product information management provides customers with a seamless, omnichannel product experience across multiple sales channels. Increasingly, this applies to B2B commerce too, as users adopt the same practices and behaviour of their B2C counterparts. In this article, we’ll look at the core elements of B2B product information management and how a PIM enhances its execution.
Database normalisation is the business process of structuring a relational database in line with a series of ‘normal’ forms to minimise data redundancy and enhance overall data integrity. We look at the importance of normalisation and why product information management can only work optimally if your data is consistent, reliable, up-to-date, and transparently organised.
Just as you wouldn’t build a house by simply cementing together some bricks to build the walls, putting on a roof and then deciding how you want to divide up the useable space. the best PIM solution in the world won’t solve your problems without a fit-for-purpose product information management architecture to support your infrastructure. Below, we look at the key information you need to know about data architecture to make sure the foundations of your product information management are solid.
Digital transformation is the route to equipping a business with the tools needed for the fast-evolving world of digital commerce. But this challenge can be an overwhelmingly comprehensive prospect, which is why PIM consultancy service support is essential. We’ll look at the goals of digital transformation, the pitfalls to avoid, and exactly how a PIM consultancy adds value to your digital transformation journey.
Borderless digital commerce is embedded in our world and scaling a business can be relatively straightforward, with the right tools. However, with the complicating factors of language, currency and customer profile, it is also a challenge. Our article examines how a PIM system supports your growth strategy when scaling your business to new markets
Efficient and effective data management is an absolute must in the modern enterprise. This applies especially to product information management. In this insight article, we list the main data management tools and their features.
Digital shelf optimisation assesses your digital shelf’s performance using three foundational metrics: product availability, volume of visits to your digital shelf (traffic), and how many of those visitors buy something (conversion rate). Digital shelf analysis and optimisation gathers the business intelligence you need to measure and evaluate the success of these three elements.
A PIM system is not a database. There are plenty of very good databases out there, but none are designed specifically to enhance management of product data. That’s why if you compare PIM with a regular database, the fundamental data question is “How should we manage our data explicitly in relation to a massively valuable asset – product data?” This article tells you why
Digital shelf strategy differs from basic eCommerce. Many companies are underperforming in their markets because although they possess lots of product-related data, theyare in siloed databases, unharnessed, overlooked and underused. This insight article presents ten best practices for your digital shelf strategy.