Big data business analytics | Introduction to Business Analytics
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This document provides an introduction to business analytics, including the types (descriptive, predictive, and prescriptive), tools (data visualization, business intelligence reporting software, self-service analytics platforms, statistical analysis, and big data platforms), roles (business user, project sponsor, project manager, business intelligence analyst, database administrator, data engineer, and data scientist), and lifecycle (problem definition, research, resource assessment, data acquisition, data storage, exploratory analysis, modeling, implementation, and developing deliverables).
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Big data business analytics | Introduction to Business Analytics
- 2. TOPICS The Types The Tools The Roles The Lifecycle
- 3. TYPES OF BUSINESS ANALYTICS DESCRIPTIVE ANALYTICS What happened ? PREDICTIVE ANALYTICS What might happen ? PRESCRIPTIVE ANALYTICS What should we do ?
- 4. BUSINESS ANALYTICS TOOLS DATA VISUALIZATION TOOLS BUSINESS INTELLIGENCE REPORTING SOFTWARE SELF-SERVICE ANALYTICS PLATFORMS STATISTICAL ANALYSIS TOOLS BIG DATA PLATFORMS
- 5. KEY ROLES FOR SUCCESSFUL ANALYTIC PROJECT BUSINESS USER PROJECT SPONSER PROJECT MANAGER BUSINESS INTELLIGENCE ANALYST DATABASE ADMINISTRATOR(DBA) DATA ENGINEER DATA SCIENTIST
- 6. MAIN PHASES OF LIFE CYCLE BUSINESS PROBLEM DEFINITION RESEARCH HUMAN RESOURCE ASSESSMENT DATA ACQUISITION DATA MUNGING DATA STORAGE EXPLORATORY DATA ANALYSIS DATA PREPARATION FOR MODELING AND ASSESSMENT MODELLING IMPLEMENTATION
- 7. DEVELOPING CORE DELIVERABLES FOR STAKEHOLDERS PRESENTATION FOR ANALYSTS CODE FOR TECHNICAL PEOPLE TECHNICAL SPECIFICATIONS OF IMPLEMENTING THE CODE