BigLever, MadCap Partner on Integrated Documentation Management and Product Line Engineering Solution

biglever-logoMadCap_Logo-200x200BigLever Software , the leading provider of product line engineering (PLE) solutions, and MadCap Software , the leading technical communication software provider, announced today that the companies have partnered to integrate MadCap Flare with BigLever’s Gears PLE solution. The new bridge integration optimizes document sharing and dramatically simplifies the complexity of documentation management for organizations that develop and deliver complex product lines. As a result, organizations can streamline technical communications throughout product engineering and business operations to achieve new levels of efficiency.

Organizations that build complex product lines inherently have large sets of documentation that play a vital role in the creation, delivery and maintenance of their product lines, as well as in the use of their products by end users. These companies must effectively manage a broad array of technical specifications and all of the diversity needed to support the different “flavors” of products within a product line family. The new bridge integration solution combines the capabilities of MadCap Flare and BigLever Gears to provide a single, unified mechanism for end-to-end document management across each stage of the product engineering lifecycle, and throughout business operations such as portfolio planning and definition, marketing, sales, manufacturing, deployment, service, and finely tailored documentation for end users.

“The BigLever/MadCap partnership is not only beneficial to their mutual customers, but also offers an interesting opportunity for companies needing to automate similar complex interactions and tasks,” said Allan Behrens, Managing Director of leading technology consulting firm Taxal. “This type of product line approach to engineering and documentation should bring significant business value to their customers by enabling them to more effectively automate product variation across a broader set of operational processes and applications.”

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