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GOAL DIRECTED LEARNING
Master DW

Data and Analytics Tutorial

Data and Analytics Overview
Under Construction

Data and Analytics Success

Data and Analytics Strategy
Project Management
Data Analytics Methodology
Quick Wins
Data Science Methodology

Requirements

BI Requirements Workshop

Architecture and Design

Architecture Patterns
Technical Architecture
Data Attributes
Data Modeling Basics
Dimensional Data Models

Enterprise Information Management

Data Governance
Metadata
Data Quality

Data Stores and Structures

Data Sources
Database Choices
Big Data
Atomic Warehouse
Dimensional Warehouse
Logical Data Warehouse
Data Lake
Operational Datastore (ODS)
Data Vault
Data Science Sandbox
Flat Files Data
Graph Databases
Time Series Data

Data Integration

Data Pipeline
Change Data Capture
Extract Transform Load
ETL Tool Selection
Data Warehoouse Automation
Data Wrangling
Data Science Workflow

BI and Data Visualization

BI - Business Intelligence
Data Viaulization

Data Science

Statistics
Descriptive Analytics
Predictive Analytics
Prescriptive Analytics

Test and Deploy

Testing
Security Architecture
Desaster Recovery
Rollout
Sustaining DW/BI

Data Analytics Quick Wins

How can the Data And Analytics (DAA) effort start producing worth while results. The answer is Quick Wins which carries out the philosphy, "Think big, start small, start now".

A Quick Win is an effort that produces favorable outcomes in a short period of time, while relying on a relatively small budget. Let's examine each point in turn.

[add diagram - show a triangle with the 3 points]

  • Favorable Outcome: Correct pain points, gaps that are causing problems, such as:
    • Lengthy manual efforts to produce reports or analytics
    • Data quality issues
    • Value of the result exceeds cost - self funded efforts
  • Short Period of Time: typically in 90 days or less - sometimes in hours
  • Relatively Small Budget:
    • Use existing hardware and software - no purchase required
    • Use freeware software
    • Use existing staff - no hires or contracting
    • Use existing or easily acquired data - avoid building a new database to start


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