"Vivek Kale has written a great book on performance management that focuses on decision-making; on continuous, incremental improvement; and on identifying common patterns in becoming a more intelligent organization." —James Taylor, CEO of Decision Management Solutions and author of Real-World Decision Modeling with DMN
"Introducing the concepts of decision patterns and performance intelligence, Vivek Kale has written another important book on the issues faced by contemporary organizations."—Gary Cokins, author of Predictive Business Analytics and Performance Management: Integrating Strategy Execution, Methodologies, Risk, and Analytics
Enterprise Performance Intelligence and Decision Patterns unravels the mystery of enterprise performance intelligence (EPI) and explains how it can transform the operating context of business enterprises. It provides a clear understanding of what EPI means, what it can do, and application areas where it is practical to use.
The need to be responsive to evolving customer needs and desires creates organizational structures where business intelligence (BI) and decision making is pushed out to operating units that are closest to the scene of the action. Closed-loop decision making resulting from a combination of on-going performance management with on-going BI can lead to an effective responsive enterprise; hence, the need for performance intelligence (PI).
This pragmatic book:
Introduces the technologies such as data warehousing, data mining, analytics, and business intelligence systems that are a first step toward enabling data-driven enterprises.
- Details decision patterns and performance decision patterns that pave the road for performance intelligence applications.
- Introduces the concepts, principles, and technologies related to performance measurement systems.
- Describes the concepts and principles related to balance scorecard systems (BCS).
- Introduces aspects of performance intelligence for the real-time enterprises.
Enterprise Performance Intelligence and Decision Patterns shows how a company can design and implement instruments ranging from decision patterns to PI systems that can enable continuous correction of business unit behavior so companies can enhance levels of productivity and profitability.
Table of Contents
1. Data-Driven Performance
1.1. Agile Enterprises
1.2. Data-Driven Performance Management
2. Aligning Business and IT Strategy
2.1. Business Strategy
2.2. Information Technology and Information Systems (IT/IS) 22
I. Genesis of Performance Intelligence
3. Decision Support Systems
3.2. Decision-Making Process
3.3. Decision-Making Techniques
3.4. Decision Support Systems
II. Road to Performance Intelligence
4. Database Systems
4.1. Database Management System
4.2. Database Models
4.3. Database Components
5. Data Warehousing Systems
5.1. Relevant Database Concepts
5.2. Data Warehouse
5.3. Data Warehouse Architecture
6. Data Mining Systems
6.1. Data Mining
6.2. Data Mining Applications
6.3. Data Mining Analysis
6.4. CRISP-DM Methodology
7. Analytics Systems
7.2. Data Science Techniques
7.3. Snapshot of Data Analysis Techniques and Tasks
8. Business Intelligence Systems
8.1. Concept of Business Intelligence
8.2. Business Intelligence
8.3. Benefits of BI
8.4. Technologies of BI
8.5. Applications of BI
III. Performance Intelligence
9. Decision Patterns
9.1. Concept of Patterns
9.2. Domain-Specific Decision Patterns
10. Performance Decision Patterns
10.2. Cost Performance Drivers
10.3. Non-cost Performance Drivers
11. Performance Intelligence
11.1. Performance Intelligence
11.2. PI Methodology
11.3. Agile Principles
11.4. PI Delivery Framework
IV. Performance Intelligence Applications
12. Performance Intelligence Systems
12.1. Performance Measurement System
12.2. Corporate Performance Management Framework
12.3. CPM Software
12.4. CPM Project Enablers
13. Balance Scorecard Systems
13.1. Balance Scorecard (BSC)
14. Performance Intelligence for Real-Time Enterprises
14.1. Real-Time Enterprise
14.2. Real-Time Performance Measurement
14.4. Reference Architecture.
14.5. Financial Metrics
14.6. Operational Metrics
Vivek Kale has more than two decades of professional IT experience during which he has handled and consulted on various aspects of enterprise-wide information modeling, enterprise architectures, business process redesign, and, e-business architectures. He has been CIO of Essar Group, the steel/oil and gas major of India, as well as, Raymond Ltd., the textile and apparel major of India. He is a seasoned practitioner in transforming the business of IT, facilitating business agility and enabling the Process Oriented Enterprise. He is the author of Implementing SAP CRM: The Guide for Business and Technology Managers, Chapman & Hall (2014) and Guide to Cloud Computing for Business and Technology Managers: From Distributed Computing to Cloudware Applications, Chapman & Hall (2015).