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This study is innovative as it combines several tools in a complementary way to enable data based decision making.
To promote efficient allocation of resources in such a system requires making decision makers knowledgeable about HIV, building technical capacity for effective resource allocation, instilling the importance of data based decision making within the institutional set up and ensuring availability of relevant, updated and valid information.
Making data based decisions makes instinctive sense, and evidence is mounting that it makes strong commercial sense too.
Political will, instability (war), lack of adequate resources, a culture of non-data-use, lack of an effective evidence based-decision making process are some of the issues that explain the lack of viable CRS and VRS in SSA [ 1, 7, 12, 15].
But aren't we all rational human beings, always making data based decisions?
Now think of those data sets as bases of decision making for vehicles like cars or trucks, and we become aware of the social and political dimensions that we need to build into systems to serve human needs.
Methods based on remote sensing (RS) features, such as vegetation indices, have been proposed as promising approaches, complementing methods based on categorical data to support decision making.
A culture that encourages decision making based on data and frameworks, rather than on opinion and instinct, brings objectivity to sales leaders' personnel decisions.
The proposed HMC-LAD can be applied to expert and intelligent systems to effectively categorize large amount of data in knowledge base and perform inference for decision making.
"It used to be a very agency-specific conversation — about getting agencies used to data, collecting data and making decisions based on data.
Decision making process under uncertainty is largely based on application of statistical data analysis for probabilistic risk assessment of decision.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com