Making the Case for Practical PLM

Solve the Top 4 Product Data Management Challenges

What company isn't under the gun to get products to market faster than the competition while simultaneously reducing waste and cost? With companies struggling under the weight of manual processes and mountains of out-of-control product development-related data, it’s time to get real about finding a solution. With a practical approach to PLM, you can connect everyone in the organization to the right data while facilitating better decision-making that results in great products.

Organizations have attacked the problem with a variety of technologies, from CAD-centric data management software to enterprise product lifecycle management (PLM) platforms, with varying degrees of success. The challenge is to manage an increasing amount of manufacturing data and to automate business processes without getting bogged down in complex PLM enterprise deployments that consume limited resources, break already strapped budgets and take months or even years to get off the ground.

Rather than trying to “boil the ocean” and map a monolithic platform to a set of complex business processes, organizations need to zero in on the most common product data management challenges and go after them with a practical PLM approach that delivers efficiencies right out of the gate, while easily scaling to meet evolving needs.