Data are used in business to develop solutions and drive business results in different ways. Describe how your business or industry uses descriptive, predictive, and prescriptive analytics as part of the business. In replies to peers, provide analysis and additional alternatives to types of data used in analytics.
Prescription analysis is the third and final stage of business
analysis, which includes description and forecast analysis.
The so-called "last front line of analytical ability" is an
indicator that leads to the application of science, mathematics and
mathematics and provides decision-making options to take advantage
of analytical and predictive results. The first stage of business
analysis is descriptive analysis, which today represents the
majority of all business analysis. Description Describes an
analysis of previous practices and understands the practice by
extracting historical data to look for reasons for past successes
or failures. Most management accounts, such as sales, marketing,
operations, and finance, use post-mortem analysis.
The next stage is predictive analysis. Predictive analysis answers
questions about what is likely to happen. This is when historical
data is combined with algorithms and sometimes external data to
determine the possible future outcome of an event or the
possibility of a situation occurring. The final stage is the
prescription analysis, which goes beyond predicting future results,
also proposing actions to take advantage of the forecast and
highlight the consequences of each solution.
Prescription analysis not only predicts what will happen and when
it will happen, but also why it will happen. In addition,
prescription analysis provides options for deciding how to take
advantage of future opportunities or mitigate future risks and
highlight the consequences of each solution. Prescription analysis
can take the latest data for review and re-prescribing, thus
improving the accuracy of automatic predictions and prescribing
better decision-making options. Prescription analysis absorbs
hybrid data, a combination of structure (category numbers) and
unstructured data and business rules to predict what lies ahead and
prescribe how to take advantage of the planned future by Do not
compromise on other priorities.
The three-stage analysis can be performed through specialized
services or technology or a combination. To scale, the analytical
technologies described need to be adapted to take into account the
increasing volume, speed, and variability of the data that the main
mission process and their environment can generate.
Data are used in business to develop solutions and drive business results in different ways. Describe...
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