Key Benefits

• Enabled replacement of heavy customizations
• Enforced business rules to ensure governance and control
• Time savings from efficient management of FM and RM data
• Enhanced data quality at new levels

PepsiCo

Industry: Beverages and Food Processing

Location: Global

Key Benefits

• Increased productivity
• Higher data quality improving decision making
• Agile processing of requests
• Improved interconnectivity

Key Benefits

• Reduction of redundant IT requests
• Improvement in support ticket resolution times
• Turnaround of change requests accelerated
• Streamlining of IT processes
• Improvement in enterprise-wide communication

Penoles

Industry: Basic Materials

Location: Mexico City, Mexico

Key Benefits

• Data quality improvements
• Stronger usage compliance
• PPM maturity advancement
• Data driven roadmap planning and execution

Translating Adoption and Maturity Metrics into PPM Value

In order to reap maximum benefits from the unique and powerful AMM metrics on an ongoing basis, customers need to determine how to incorporate the use of the add-on into their existing PPM management processes. Building on our field observations, this paper provides guidelines on how to do this on a weekly, monthly/quarterly, and annual basis. In addition, we include several recommended response strategies, along with techniques and tactics, to help customers properly respond to the AMM findings.

Adoption and Maturity Metrics Leading to “Quick Win” Configuration Changes

This paper proposes that out of all the issues that might be affecting how value is being generated from a PPM implementation, system configuration is typically the quickest to address. The AMM add-on can quickly pinpoint such issues and then continuously provide similar input in response to changes in the dynamic PPM implementation. The reasons for the resulting configuration changes are classified into five categories and field examples are provided.

A Holistic Approach to PPM Data Quality Management

As a system for strategic decision-making and day-to-day operations, maintaining a high quality of OpenText PPM data is vital. Nevertheless, definitions of data quality that incorporate the unique business processes and needs of specific organizations tend to be elusive and adherence to these definitions is often extremely difficult. This paper begins with an introduction to data quality in PPM environments, followed by an overview of AMM’s holistic and unique approach to data quality management.

System and Methods for Management of External Dependencies Associated with a Project Portfolio

Patent Application

Itay Erhard (PPMetrics), Arthur Goldberg, Ph.D. (New York University, School of Computer Science)

In order to reap maximum benefits from the unique and powerful AMM metrics on an ongoing basis, customers need to determine how to incorporate the use of the add-on into their existing PPM management processes. Building on our field observations, this paper provides guidelines on how to do this on a weekly, monthly/quarterly, and annual basis. In addition, we include several recommended response strategies, along with techniques and tactics, to help customers properly respond to the AMM findings.

Design of a Knowledge Management and Organizational Learning System for IT Project Portfolio Managements

Academic Paper, Submitted as Doctoral Dissertation at Columbia University

Itay Erhard (PPMetrics)

The postulate of this study is that a lack of effective knowledge management processes significantly contributes to the disparity between expected and actual value realization of PPM. An abstract design of a knowledge management system is proposed based on an independent study and input from field practitioners. This design covers the following elements: solution capabilities, potential technologies to be utilized in support of the desired capabilities, abstract solution entities and their relationships, construction design considerations, and general system attributes.