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Nimble Storage : scaling talent strategy amidst hyper-growth / Homa Bahrami.
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View online- Format:
- Book
- Author/Creator:
- Bahrami, Homa, author.
- Series:
- SAGE Knowledge. Cases.
- SAGE Knowledge. Cases
- Language:
- English
- Subjects (All):
- Nimble Storage.
- Computer industry--United States.
- Computer industry.
- Storage area networks (Computer networks).
- Virtual storage (Computer science).
- United States.
- Information storage and retrieval systems--United States.
- Information storage and retrieval systems.
- Virtual storage (Computer science)--United States.
- Storage area networks (Computer networks)--United States.
- Physical Description:
- 1 online resource : illustrations.
- Place of Publication:
- London : SAGE Publications Ltd, 2017.
- System Details:
- text file
- Summary:
- The Nimble Storage case study tells the story of a rapidly growing storage startup in Silicon Valley. The key protagonists are CEO Suresh Vasudevan, along with the Vice President of Human Resources, Paul Whitney. The case study describes the history of the company, the context in which Whitney was hired, and key people initiatives since Whitneys arrival. With lofty ambitions, such as transforming the world of storage through its hybrid storage system, and with the stated goal of becoming a billion dollar company in three years, Vasudevan, Whitney, and the senior team believed that Nimbles people strategy would be critical in helping achieve its ambitious goals and thus focused on short and long-term people initiatives in order to scale. The case study ends with the launch of the companys new leadership program, LEAD and raises questions about Nimbles future growth and international expansion, specifically how its growth plans might affect people initiatives going forward.
- Notes:
- Originally published: Bahrami, H. (2015). Nimble Storage: Scaling talent strategy amidst hyper-growth. The Berkeley-Haas Case Series. University of California, Berkeley. Haas School of Business.
- No ILL or scholarly sharing allowed.
- Description based on XML content.
- ISBN:
- 9781526407948
- OCLC:
- 1017732672
- Access Restriction:
- Restricted for use by site license.
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