» For Predictive Projects, “Quick” isn’t Enough of a Win


When beginning a new predictive analytics project, the client often mentions the importance of a quick win. It makes sense to think about delivering fast results, in a limited area, that excites important stakeholders and gains support and funding for more predictive projects. A great goal. It’s the implementation of the quick win in a predictive project that can be difficult. There are at least 2 challenges with using a traditional quick win approach to predictive analytics projects. Examples include the following: Predicting which Colleges and Universities yield the highest performers.
Challenge #1: Predicting Something That Doesn’t Get Stakeholders Excited
Challenge #2. Quick Wins Shouldn’t Mean Tiny Data

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About Manoj Kumar 80 Articles
A senior management consulting professional and an entrepreneur by heart, Manoj has led global change programs for fortune 500 companies like HSBC, Fidelity Investments, and GE. His expertise lies in functional strategy development, operating model building, process analysis, operational improvement, and simplification including global implementation of BI technologies. In 2014, he was recognized as one of the Top 72 HR Analytics Influencers worldwide. He is currently working as the Vice President, HR Analytics, HSBC. He is also very active in the Entrepreneurial community in India. His entrepreneurial stints include – India’s first online Toy Rental Company “Rentoys” (http://www.rentoys.in), featured in Outlook Money, ET, DARE, UTV Pitch, ET Now, BangaloreMirror, Indian Express, DNA) and an online marketplace for Indian voiceover artists – VoiceHired.com (1000+ artist community)