In Tanzania, switching to an electronic health management information system helped a hospital to improve its data collection, but one question remained: how to analyse the data without data literacy skills?
➡️bit.ly/hospital-data@MCCgov@dLabTz@DataZetu#DataForChange
Regression, for example, allows us to explore the nature of
the interdependence of related quantities, identifying those ones that are most useful in predicting the one that particularly holds our interest, such as profit.
#regression
Predictive models allow us to take what we already know about the behavior of a system and use it to predict how that system will behave in new circumstances.
#predictiveanalytics
Just as there are many kinds of problems to be solved, there are many techniques for addressing them. These tools can broadly be divided into predictive models and mathematical optimization.
#Mathamatics#DataAnalytics
Data Analysis; two technological breakthroughs, both in the field of computing: 1. Automatic data collection and cheap 2. Readily available computing power.
Mathematical decision making is a collection of quantitative techniques that are intended to cut through irrelevant information to the heart of a problem, and then it uses powerful tools to investigate that problem in detail, leading to a good or even optimal solution.
#OR_Study
People have an excellent track record for solving problems that are small and familiar, but today’s world includes an ever-increasing number of situations that are complicated and unfamiliar.
#OperationalResearch
When people could see images of work being requested and performed, they became more trusting and supportive of government than when they were merely provided with a tally of issues being reported and resolved.
Those who commission design-thinking projects
must be coaches who inspire their teams, hand-holding
when necessary but drawing back when a team hits its stride. #HBR
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