ABSTRACT

Within this context, big data analytics (BDA) can be an important tool given that many analytic techniques within the big data world have been created specifically to deal with complexity and rapidly changing conditions. The important task for public sector organizations is to liberate analytics from narrow scientific silos and expand it across internally to reap maximum benefit across their portfolios of programs.

This book highlights contextual factors important to better situating the use of BDA within government organizations and demonstrates the wide range of applications of different BDA techniques. It emphasizes the importance of leadership and organizational practices that can improve performance. It explains that BDA initiatives should not be bolted on but should be integrated into the organization’s performance management processes. Equally important, the book includes chapters that demonstrate the diversity of factors that need to be managed to launch and sustain BDA initiatives in public sector organizations.

part I|25 pages

Conceptual

chapter 1|23 pages

Big Data and Analytics in Government Organizations

A Knowledge-Based Perspective

part II|45 pages

Setting the Stage for Analytics

chapter 2|27 pages

Setting the Context for Analytics

Performance Management in Canadian Public Organizations: Findings of a Multi-Case Study

chapter 3|15 pages

Preparing for Analytics

The Dubai Government Excellence Program

part III|131 pages

Applications and Case Studies

chapter 4|19 pages

Leveraging Innovation Systems

Supporting Science and Technology Capability Analysis through Big Messy Data Visualization

chapter 5|20 pages

Big Data Analytics and Public Bus Transportation Systems in China

A Strategic Intelligence Approach Based on Knowledge and Risk Management

chapter 7|28 pages

Visual Data Mining with Virtual Reality Spaces

Exploring Canadian Federal Government Data

chapter 8|15 pages

Institutionalizing Analytics

A Case Study

chapter 9|14 pages

Modeling Data Sources