This story was originally published on HackerNoon at: https://hackernoon.com/measuring-decision-confidence-in-business-intelligence-and-analytics.
Learn why Decision Confidence is the KPI organizations should measure.
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This story was written by: @venkatasaibolineni. Learn more about this writer by checking @venkatasaibolineni's about page, and for more stories, please visit hackernoon.com.

More dashboards don't create better decisions—trusted data does. Here's why Decision Confidence may be the most important analytics KPI organizations aren't measuring

This story was originally published on HackerNoon at: https://hackernoon.com/building-an-ai-powered-a2p-sms-fraud-detection-platform-using-xgboost-a-machine-learning-approach.
How explainable AI, behavioral analytics, and operational dashboards can help telecom operators detect messaging fraud & avert it in real time.
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This article presents my design and implementation of an AI-powered A2P SMS Fraud Detection Platform using XGBoost, combining machine learning, explainable AI, and operational analytics.

This story was originally published on HackerNoon at: https://hackernoon.com/teaching-funnels-to-understand-non-linear-customer-journeys.
Linear funnels miss branching journeys, competing goals and abandoned paths. A graph-based framework can model customer behaviour more accurately.
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Traditional funnel analytics forces irregular customer journeys into fixed sequences. GoalFlow instead represents milestones as a graph and generates reusable pipelines from structured definitions, although its anchoring rules and route metrics need clearer and internally consistent explanations.