scispace - formally typeset
Open AccessBook

Why new systems fail : an insider's guide to successful IT projects

Phil Simon
TLDR
In this article, the authors examine the root causes of system failures and propose a framework to minimize the chance of system failure before, during, and after beginning IT projects, with specific tools, tips, and insight from the perspective of a seasoned, independent consultant with more than a decade of related experience.
Abstract
A Fortune 500 manufacturing company spent millions attempting to implement a new enterprise resource planning (ERP) system. Across the globe, a 150-employee marketing firm built and tried to implement a proprietary customer relationship management (CRM) system. For two very different companies doing two very different things, the outcomes were identical. In each case, the organization failed to activate and utilize its system as initially conceived by senior management. And these two organizations are hardly alone. On the contrary, research indicates that more than three in five new IT projects fail. Many miss their deadlines. Others exceed their initial budgets, often by ghastly amounts. Even systems activated on time and under budget often fail to produce their expected results and almost immediately experience major problems. Although the statistics are grim, there is at least some good news: these failures can be averted. Organizations often lack the necessary framework to minimize the chance of system failure before, during, and after beginning IT projects. Why New Systems Fail provides such a framework, with specific tools, tips, and insight from the perspective of a seasoned, independent consultant with more than a decade of related experience. The book examines in great detail the root causes of system failures. Detailed case studies, examples, and lessons from actual system implementations are presented in an informative, straightforward, and very readable manner. More than a theoretical or technical text, this book offers pragmatic advice for organizations both deploying new systems and maintaining existing ones.

read more

Citations
More filters
Proceedings ArticleDOI

IT Project Success: A Conceptual Framework for IT Project Auditing Assurance

TL;DR: A conceptual framework is proposed for IT project auditing assurance throughout the project life cycle that introduces high-level and detailed IT project assurance processes in each assurance review gate that can be tailored to ensure the successful delivery of an IT project.
Journal ArticleDOI

How to Become a Strategist CIO

TL;DR: The main features of strategist CIOs are described and how some CIO’s have succeeded in becoming strategists are explained.

What CIOs and CTOs Need to Know About Big Data and Data-Intensive Computing

TL;DR: This annotated bibliography presents literature published between 2000 and 2012 about big data by identifying business examples, describing the relationship to data-intensive computing, exploring opportunities and limitations, and identifying cost factors.

A Conceptual Information Technology Project Management Assurance Framework

TL;DR: The conceptual information technology project management assurance framework developed consists of project assurance processes was validated through a survey of 121 IT project managers from organizations in seven African countries and the findings indicated that most project assurance process are implemented better in successful IT projects than in challenged and failed IT projects as mentioned in this paper.
Dissertation

Development of a lean principles framework for ERP implementation process

TL;DR: Using nanofiltration membranes for recovery of phosphorous with a second type of technology for the recovery of nitrogen is suggest to be a viable process.
Related Papers (5)
Trending Questions (1)
What causes a company's IT system to fail?

The paper explains that the root causes of IT system failures include organizations lacking the necessary framework to minimize the chance of failure, missed deadlines, exceeding initial budgets, and systems failing to produce expected results.