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how_can_we_forecast_when_we_do_not_have_a_lot_of_data [2017/05/31 05:27]
hpsamios
how_can_we_forecast_when_we_do_not_have_a_lot_of_data [2020/06/04 09:15] (current)
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 ====== How Can We Forecast When We Do Not Have a Lot of Data? ====== ====== How Can We Forecast When We Do Not Have a Lot of Data? ======
  
-or "How much data do we need to generate a useful metric?"+"How much data do we need to generate a useful metric?"
  
 Many people think that you need a lot of data in order to get statistically useful data. For example, we hear a lot about "Big Data" and how we can mine huge volumes of data to produce interesting information. Many of us assume that in order to do something meaningful, and with any accuracy at all, we also will need a lot of data. It turns out that in many cases you really do not need much data to produce useful and interesting results. Many people think that you need a lot of data in order to get statistically useful data. For example, we hear a lot about "Big Data" and how we can mine huge volumes of data to produce interesting information. Many of us assume that in order to do something meaningful, and with any accuracy at all, we also will need a lot of data. It turns out that in many cases you really do not need much data to produce useful and interesting results.
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 That’s a pretty small amount of data to generate a lot of understanding of the data we have. And the thinking approach can be applied to all kinds of metrics and at all levels of the planning process - portfolio level epics, program level features etc. That’s a pretty small amount of data to generate a lot of understanding of the data we have. And the thinking approach can be applied to all kinds of metrics and at all levels of the planning process - portfolio level epics, program level features etc.
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 {{tag>Estimates Forecast Data Metrics Probability FAQ Points}} {{tag>Estimates Forecast Data Metrics Probability FAQ Points}}
  
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