Analytics people have to be the ones that simplify the decision making process. We have to be the ones that help people consume the information in a way that is simple, it is not time consuming, it is not confusing and as univocal as possible. Analyzing and reporting are two completely different things (more info here “How to make self explaining reports“). The person that analyzes the data goes through a mediate process of questions and answers that generates the layers of information that will give context to the reported data (What I call the P.I.C. or Personal Information Context).
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Vision is the key factor for a Data Driven Culture
In my book Meta Analytics I presented two sides of the analytics synapsis. The object that we analyze (companies) and the subject that make the analysis (the people). Between those two things there are a lot of things to deal with to convert the result of the synapsis in an insight that can be taken into action. In this post I’d like to talk about the object, the company. A company is a system, a set of parts that interact together with the common objective of adding value (in the present and in the future). So basically the information system
Continue readingThe first native data driven company to the Fortune List in 10 years
This is the list of top 10 Fortune companies: Walmart: Founded in 1962. Berkshire Hathaway: Founded in 1839. Apple: Founded in 1976. Exxon mobile: Founded in 1870. McKesson: Founded in 1833. United Health Group: Founded in 1977. CVS Health: Founded in 1963. General Motors: Founded in 1908. AT&T: Founded in 1983. Ford Motors: Founded in 1903. Information was historically expensive until the following products were lunched. Google Analytics: Was launched in 2005. It was after 2009 that it added features to convert the platform into a Corporative Solution. Amazon Web Services: Launched in 20016. Apache Hadoop: Launched in 2011. Google
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