You know lean manufacturing tools eliminate sources of waste. But it may come as a surprise that enterprise search reduces re-work, parts proliferation and more. Browse these resources to see how accessible data can help you along your lean journey.
And if the content below doesn’t help you understand how enterprise search can eliminate sources of waste, an Onix Search Consultant will be happy to speak with you. Simply fill out the form below!
White Paper! How Manufacturers Can Cut Waste and Improve Value in Product Development Processes
Examine the issues that drive common product development problems and learn how enterprise search can help. Click here.
Cartoon! Deliver Innovative, Quality Products Fast to Market
See how peers are using an enterprise search solution to overcome challenges. Watch the cartoon here.
Infographic! Improving Product Development Processes
Discover how Onix is helping manufacturing leaders and engineers conquer common search challenges and gain a competitive edge. View here.
Stryker Finds Data Quickly and Wins in the Marketplace
Onix spoke with Hannes Rau, Stryker Instruments Manager of New Product Development Systems, to learn about their enterprise search implementation. Read the interview here.
Boost Employee Productivity and Save Time and Money
Calculate how much time and money your company can save using an enterprise search solution.
Use the calculator here.
Video! Stryker Sharpens Its Edge Using Enterprise Search
Onix interviews Klaus Welte, Vice President of Global R&D at Stryker Instruments, to learn how enterprise search is helping Stryker save time and eliminate duplication. Watch here.
Video! Stryker Instruments Explains Why Enterprise Search
Learn how Klaus Welte, The VP of R&D at Stryker Instruments, turned to an enterprise search solution to locate data and reduce redundant rework. Watch here.
Video! Engineering Challenges and How to Overcome Them
Onix interviews Michael Walton, Head of Google Manufacturing, to discuss engineering challenges companies face when searching for data. Watch here.
