Top 10 Reasons why PIM Implementations Fail
In this data-driven world, accurately managing product information can become a company’s worst nightmare.
Consequences of maintaining “dirty data” include decreased productivity, reputational damage and missed opportunities, but there’s also a hidden cost to poor quality data. According to Gartner, “every year, poor data quality costs organizations an average $12.9 million”.
Which means implementing a PIM solution — and implementing it well — is critical to your organization’s success!
After having advised numerous clients through their PIM implementations, we’ve found that several obstacles are more common than others. In this quick guide, we’ve outlined the top 10 reasons why they fail, and how you can overcome them.
