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There are two types of analytics projects: (1) income generating, and (2) cost-abating.
As the Intercept reported in October 2015, the same types of analytics are used from marketing to the military; in essence, the Pentagon uses a data program to monitor drones in the same way businesses monitor customers.
We're also working on modules for various types of analytics and visualization, some of this in partnership with the Mobile Data to Knowledge (MD2K) NIH Center of Excellence.
Data lakes allow you to run many types of analytics, as varied as dashboards, visualizations, and big data processing, in order to guide better decision-making.
There have always been three types of analytics: descriptive, which reports on the past; predictive, which uses models based on past data to predict the future; and prescriptive, which uses models to specify optimal behaviors and actions.
Understanding Different Types of Analytics and Their Implications: For many years, the vast majority of analytics were descriptive simple reports or dashboards with numbers about what happened in the past.
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However, there are different types of analytic applications to consider.
Many types of analytic errors ensue when a Big Data resource is forced to respond to questions that it cannot possibly answer.
We provide a brief outline of the types of analytic methods particularly useful for CER and connect the reader to references for their practice.
The two types of analytic methods were quantitative and qualitative.
The validity of biochemical indicators is vulnerable to the problems of nutrient homeostatic mechanisms, bioavailability, time integration, medical condition, genetic backgrounds, and types of analytic procedures [ 11].
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