BUS610: Building Effective Data Visualizations for Business Intelligence | Saylor Academy

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This video highlights that business intelligence is evolving into analytics thanks to machine learning and visualization tooling advances. Analytics takes a more holistic and proactive view of a business by automating the process of extracting useful insights and looking to predict the future rather than affirm the past. Why is this key?

Source: Dataversity, https://www.youtube.com/watch?v=vsgOcfsy3kQ
This work is licensed under a Creative Commons Attribution 3.0 License.

Last modified: Wednesday, 17 July 2024, 10:30 AM

Course Introduction

Course Syllabus

Unit 1: Business Intelligence Overview

1.1: What is Business Intelligence?

Business Intelligence

Introduction to Business Intelligence

1.1.1: What Business Intelligence is Not

Frontiers of Business Intelligence and Analytics

Business Intelligence Dashboards

1.1.2: Business Intelligence vs. Competitive Intelligence

What is Competitive Intelligence?

1.1.3: From Systems Engineering to Business Engineering

Information Architecture Analysis

Systems Engineering

Business Engineering

1.2.1: Contemporary Applications

Business Intelligence in ERP

Improving Outcomes with Business Intelligence

How Businesses Use Information

1.2.2: BI Approaches for Each Lifecycle Stage

The Business Cycle

Big Data Analytics in Supply Chain Management

1.2.3: BI for Prediction

Goal-Oriented BI

Big Data Analytics

BI System Effectiveness

Data Mining Analytics for BI and Decision Support

1.3: The Future of BI

Future Trends in Information Systems

Internet Trends

Trends in Information Technology

Technology Trends in the COVID-19 Pandemic

The Future of BI

1.3.1: Adapting Business Models to Globalization and Technology

Global Business Strategies for Responding to Cultural Differences

Internationalization and the Need of Business Model Innovation

1.3.2: Maintaining the Firm-Centric Approach

Designing BI Solutions in the Era of Big Data

1.3.3: Incorporating Data from the Internet of Things (IoT)

The Internet of Things

The Cognitive Internet of Things and Big Data

Data Science in Heavy Industry and the Internet of Things

Causality and Variables

The Internet of Things is Revolutionary

Unit 1 Discussion

Unit 1 Study Resources

Unit 1 Review Video

Study Guide: Unit 1

Unit 1 Assessment

Unit 1 Assessment

Unit 2: BI as Business Support

2.1: Defining the Problem

Choice and Happiness

2.1.1: Framing Internal Client Discussions

Overview of Managerial Decision-Making

2.1.2: Drafting the Terms of Reference (TOR)

Defining the Scope of your Project

Developing Terms of Reference

2.1.3: Negotiating the Project Scope

Scope Planning

Negotiation

2.2: The Art and Science of Decision-Making

Decision-Making in Management

Decision-Making Processes in the Workplace

2.2.1: Thinking about Thinking

Experience vs. Memory

Evidence Logs and Metacognitive Logs

2.2.2: Use Analysis, or "Go with Your Gut"?

Problem Solving, Thinking, and Intelligence

Using a Heuristics Checklist

2.2.3: Decision-Making Approaches

Decision-Making Tools

2.2.4: Structuring Decision-Making Effectively

RAPID Decision-Making

2.3: Using Data to Make Decisions

Business Intelligence Dashboards

2.3.1: Everyday Data

2.3.2: Why Expert Judgement is No Better than Yours

Why You Think You're Right Even if You're Wrong

2.3.3: How Forecasting can Help Decision-Making