Business Intelligence

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What is Business Intelligence

Business intelligence combines business analytics, data mining, data visualization, data tools and infrastructure, and best practices to help organizations make more data-driven decisions. In practice, you know you’ve got modern business intelligence when you have a comprehensive view of your organization’s data and use that data to drive change, eliminate inefficiencies, and quickly adapt to market or supply changes. Modern BI solutions prioritize flexible self-service analysis, governed data on trusted platforms, empowered business users, and speed to insight. (Definition by Tableau)

 

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Ethical problems in data science

Introduction

Before we start

Data Exploration / Statistical Summary

Data integration / Normalization / Feature selection / Dimension reduction

Anomaly detection / Outlier detection

How to model the data (HMM)

Linear Regression

Pattern discovery / Association & correlation (Distance Function) / Classification / Clustering / Outlier analysis

Pattern evaluation / Pattern selection / Pattern interpretation / Pattern visualization

Trend, time-series, and deviation analysis / Sequential pattern mining / Periodicity analysis / Motifs and biological sequence analysis / Similarity-based analysis

Graph mining / Information network analysis / Web mining

Result Presentation / Visualization

Tableau
Plotly
WordClouds.com Dialogflow  |  Google Cloud KNIME | Open for Innovation
SeaTable Power BI by Microsoft

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