CIO Business Intelligence
JULY 5, 2022
Prescriptive analytics: What do we need to do? Prescriptive analytics is the application of testing and other techniques to recommend specific solutions that will deliver desired business outcomes. Simplilearn adds a fourth technique : Diagnostic analytics: Why is it happening?
FineReport
MARCH 24, 2024
Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. AWS S3: Offers cloud storage for storing and retrieving large datasets.
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Domino Data Lab
MARCH 3, 2021
Metric examples for a model optimizing sales results. Conversely, if we do not see a positive impact on these metrics, we need to improve the way our model operates to create better results, in which case we would iterate the model on new insights being generated by real-world testing of the model results.
BizAcuity
MARCH 31, 2022
More use-cases are being tried, tested and built everyday, the innovation in this field will not cease for the next few years. Marketers also have access to several AI softwares to save time and optimize their work at every step of the funnel. Integrating IoT and route optimization are two other important places that use AI.
Jet Global
MAY 1, 2023
Strategic Objective Provide an optimal user experience regardless of where and how users prefer to access information. We have outlined the requirements that most providers ask for: Data Sources Strategic Objective Use native connectivity optimized for the data source. Diagnostic Analytics: No longer just describing.
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