Author Archives: Steve Todd
EMC’s Steve Todd takes us through “Data Quality” in the Data Analytics Lifecycle – Phase 2 Innovation Analytics Continue reading
The latest installment from Steve Todd on the Data Analytic Lifecycle, the Data Analytics Sandbox, and data exploration that scales globally.
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This series of articles describes an analytic lifecycle being used to gain insight into the innovation and research practices of a multi-national corporation (EMC). Continue reading
There is a massive amount of innovation and research data globally distributed amongst the 50,000+ employees at my corporation (EMC). In this current series of blog posts I’ve been theorizing that analytics can allow my Innovation Team to unlock key insights from the data and accelerate innovation world-wide. Continue reading
The finishing touch for Phase 1 of the Data Analytics lifecycle is the creation of an Analytic Plan. In the same way that requirements drive all phases of a software project, the analytic plan lays the foundation for all of the work in an analytics project. Continue reading
As with any lifecycle, the first phase (Discovery) lays the foundation for the rest of the steps. Two of the key activities in the Discovery phase are (a) the creation of hypotheses, and (b) the creation of an analytic plan. In this post I will introduce relevant hypotheses; my next post will dive into with the analytic plan. Continue reading
