SAS And Sagent Agree in Principle to New Strategic Partnership
SAS Institute and Sagent to Cross-License and Resell Each Other's Respective Software Products
biz.yahoo.com
I think this is an excellent agreement for Sagent. SAS is a much larger organization with a substantial, loyal customer base. Reselling SAS SW will allow Sagent to derive more revenues from their existing customers. SAS should provide significant license fees (without the associated cost of sales) from reselling Sagent tools. Significant leverage of IP here.
MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--Feb. 6, 2001--Sagent (Nasdaq:SGNT - news), a leading provider of Business Intelligence solutions, today announced that there is an agreement in principle with SAS Institute, the leading data warehouse solution provider worldwide, to form a new strategic partnership. The two companies will cross license and resell certain of each other's software products. The agreement is expected to be completed within the next two weeks.
``The two companies have mutual admiration for each other's technologies, which led to this partnership and cross-licensing agreement,'' said Andre M. Boisvert, President and Chief Operating Officer, SAS Institute.
As part of the partnership, SAS will primarily continue to focus on its premiere Global 500 customer set while partnering with Sagent as they continue their expansion into the mid-tier market place.
``SAS's entering into this agreement is a significant endorsement of Sagent's technologies and our company,'' said Ben Barnes, President and CEO, Sagent. ``We look forward to a rewarding long-term partnership.''
About Sagent
Sagent's suite of Business Intelligence solutions enables companies to measurably impact their business by implementing highly successful customer relationship and financial management initiatives. Through Sagent's powerful enabling technologies, organizations can easily and rapidly turn company data into relevant information that can be used for effective decision-making, analysis and reporting. Information can be extracted from multiple sources (internal and external), optimized for decision support and delivered in a customized format for Web-based or client applications. Even the most complex analytic application can be developed in weeks, not months. |
