The Da Vinci of data

On the trail of data: how to be Sherlock to solve business mysteries with data analysis

Companies, including SMEs, have a lot of data, structured in various ways. Behind these can hide crimes such as not using them to lower costs and/or increase turnover. The crime scene always happens from some database: spreadsheets that are often messy (Excel, Google), even though there was no fight, servers, CRM, i.e., where data is …

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Partner disputes in SMEs

In the article where I talk about the duration of firms and the possible causes that shorten it, I did not mention one that is unsuspectedly close to the firm, which therefore does not have external causes, such as a change in the market (demand). This is a cause that law firms are more familiar …

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Business automation and data science

Between labor costs, tax wedge and standardized labor costs for productivity, Italy’s SMEs are really not doing well, especially the last one. And if it’s true in the private sector, let alone in public administration…Automation makes it possible to increase competitive advantage, value added per employee and even their job satisfaction, possibly by fostering growth …

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Data as the new oil?

In 2015, not a week went by without finding articles about a new source of wealth: data. Too bad that most of these were taking up a handful of articles found in the United States, so they were talking about a phenomenon that was still little seen in Europe. But how does a resource become …

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Stupid entrepreneurs

There are various ways to classify people. In a previous article I mentioned the “5 personality traits,” also called OCEAN. There is also a variation of the latter, called HEXACO. Young people are more familiar with the MBTI. But these turn out to be psychometric approaches. In this article I will use an approach by …

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Remember that you have to die: economics data science

The Italian National Institute of Statistics (ISTAT) provides mortality tables, so a useful demographic resource for citizens to understand how life expectancy varies by age, region, province, etc. (conditional average). There is also the variation by occupation, educational qualification. Then there are also studies, not from ISTAT, that explain life expectancy as a function of …

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