Science of Social Influence – HP Brandclout Harvard Case Solution & Analysis

In 2013, HP launched Actionable Analytics Services (Haven) a Big Data analytics platform, leveraging the abilities of Hadoop, Autonomy, Vertica, Enterprise Security, and n programs. HP business needed to marshal existing customer base and the future to adopt the Haven offering. Historically, big organizations had a rational coverage and sway on the entire sales cycle with them driving need identification all the way through to affecting the purchase decision and purchase.

Nevertheless, recent studies began demonstrating that this was shifting, and almost 70% of the purchase decision was made before engaging a sales representative independent of the offering. The Haven team was conscious of this shift in trend, and for an enterprise class product, with high first investment needs and relatively new outlook to how companies could take out value; the demand to affect sales cycle right from period-one to drive adoption was an important job. The Haven team approached Pramod Singh, Director of HP digital analytics and Ayush Jain, manager of HP social media analytics to assist them identify the most relevant influencers in the Big Data space and help device a strategy of engagement with the same.

Issue relevant influencer identification was demanding considering the volume, pace, and intricacy of social media content. Quantifying the influence of the brands, thus enabling competitive benchmarking and comparison was even more difficult.

Science of Social Influence - HP Brandclout case study solution

This is just an excerpt. This case is about LEADERSHIP & MANAGING PEOPLE

PUBLICATION DATE: May 01, 2015 PRODUCT #: IMB515-HCB-ENG

 

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