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Data, Signs and Datascience

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# Covid19  gives a good perspective around Data and Signs and data science. Note: When I refer thoughts about other people in this article, I am neither concurring nor am I disagreeing with them. Often there is data. Often there are signs. Looking into data can be somewhat challenging. For example, some people point out that Indians seem to have higher immunity against  # coronavirus , hence we do not need to worry much. Many people would agree. Some people, however, maintain that we need more data to come to this conclusion. As data from Italy, China, and the USA may have been only captured after Corona had spread there rampantly. Also, there has been a strict lockdown in India. And then there are signs. One source of those signs is news. News is on the internet and social media. R0 Factor, Case Fatality Rate, Infection Fatality Rate, Deaths Per Million, Tests Per Million, Tests per Case, Tests Per Fatality, Asymptomatic Rate, Average Dat...
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How to identify startups that will scale?

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Organisations around the world are grappling with the choice between, expensive, inflexible and seemingly stable products from large vendors versus identifying a startup product that is producing an outcome their users love. Startups are often short of funds and CXOs are rightly worried whether they would be able to scale up to handle the volumes expected for their businesses. If they take the right approach, they can take the decision that is best for their organisation. Profitability: While funded startups are likely in mood to spend money to validate the market, unfunded ones with long term history are likely profitable. A profitable organisation is always going to grow and become more profitable irrespective of the situation. When you signup with them, it is unlikely that they will not be able to scale up. Instead you are likely going to get a better service.   Scalability A SaaS based organisation typically need not do much to scale up. SaaS scales up every sing...
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