KPI Behavioral Analysis
Data Science and Artificial Intelligence
Behavioral Profiling Framework for KPI Targeting using Machine Learning and Artificial Intelligence
- Implementing behavioral profiling framework that combines KPI propensity analysis and behavioral segmentation for grouping actionable insights
- Delivering actionable and measurable results with specific KPI targeting
- Discover hidden behavior in your business process that is used to drive revenue, reduce expenses and optimize risk exposure
About Behavioral Framework
Social analytics in behavioral predictabillity
Behavioral Profiling Value
Targeted Propensity Behavioral Profiling Framework
Business Integration Flow
CRISP-DM integration of data science and business intelligence
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Get in Touch for Data Science Analysis and PoC Work
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Hypothetical Performance Disclaimer and Risk Disclosure
Past performance is not necessarily indicative of future results. Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any business solution related to data science and artificial intelligence will or is likely to achieve profits or losses similar to those shown in advance; in fact, there are frequently differences between hypothetical performance results and the actual results subsequently achieved by any particular model. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical analysis does not involve different risk types, and no hypothetical backtest can completely account for the impact of financial risk of real modeling implementation. For example, the ability to withstand adverse exposure or to adhere to a particular model output in spite of realized monetary targets are material points which can also adversely affect actual business results. There are numerous other factors related to the business in general or to the implementation of any specific data science solution. These risks include but are not limited to: operational risk, modeling risk, financial risk, it risk, liquidity risk, strategic decision business risk etc. It is the sole responsibility of the counterparty to assess and accept those risk for themselves and any potential shareholders they represent.