The competitive environment for every industry grows increasingly intense. Fast, reasonably accurate information about the impact of a software investment decision grows more critical. Many decision-makers look for an exact forecast of return on investment (ROI) from the purchase of a supply chain management application. At least four very real challenges make such perfect information elusive. Commonly, executives meet these challenges with responses that are not carefully considered. The challenges and the corresponding reactionary refrains are as follows:

Limited time exists to perform analysis - "We need to know now!"

Business analysis skills are lacking - "We are looking for the vendor to tell us!"

The data to perform the analysis are almost always not available in the corporate databases - "We have tons of data, but we don't have it broken down like that."

It is always difficult to predict the future … like forecasting, certain laws about a prediction of ROI will forever hold true…

the prediction will always be wrong

the prediction will always change for as long as the analysis continues

someone is going to be held accountable for the prediction

- "Just give us the bottom line!"

After a quick look at these issues, one might question the effort to undertake the analysis to predict an ROI, as well as the validity of the outcome. Perfect, or even complete, information may not be feasible, but if a few basic principles are followed, some analytical work can provide an understanding of the potential for bottom line impact. It can also yield insight into the root causes of undesirable symptoms from which your business may be suffering.

The reactions of some decision-makers to each of the four challenges that are listed above provide a convenient outline for exploring a more thoughtful and strategic approach to evaluating a potential investment in supply chain management software.

About This Note: This is a four part note, each part addressing one of the four challenges.

Part One covered "We need to know now!"

Part Two covered "We are looking for the vendor to tell us!"

Part Three discusses the challenge of performing the data analysis.

Part 4. "Just give us the bottom line!"

This reaction to the need to understand the future impact of an investment decision is reminiscent of an individual who wants to know what stock they should buy. This person does not want to learn about industry performance. He or she is not interested in the relative competitive strengths of one company versus those of the other companies in the same industry. Nor is this person motivated to research financial statements in order to understand what might be driving a company's performance or whether that performance is getting better or worse. Such an individual simply wants to know if it will be a good investment and how much can be made at the end of 12 months if it is sold. So he or she scans a list of stock picks in one of the many financial publications, chooses the company ranked at the top, and then "places a bet" because at that point, the decision is little more than a bet based on an uninformed hunch. It is likely that this person will be sadly disappointed in the return. The investor will probably try to recover the loss with an equally unconsidered investment decision, leading to a cycle of poorly informed decisions. Obviously, this individual is putting the amount of money about to be invested at great risk because he or she has latched on to an answer without context.

In the same way, decision-makers in a company may rush to a "bottom-line" conclusion, only to have their efforts frustrated because they did not take the time, or do the work, necessary to gain some understanding of what is driving their pain and how their investment decision may affect those drivers. This will often lead to additional decisions that are made without adequate research and consideration in an effort to recover from the first one.

SOURCE:http://www.technologyevaluation.com/research/articles/identifying-the-roi-of-a-software-application-for-supply-chain-management-part-4-just-give-us-the-bottom-line-16423/

The competitive environment for every industry grows increasingly intense. Fast, reasonably accurate information about the impact of a software investment decision grows more critical. Many decision-makers look for an exact forecast of return on investment (ROI) from the purchase of a supply chain management application. At least four very real challenges make such perfect information elusive. Commonly, executives meet these challenges with responses that are not carefully considered. The challenges and the corresponding reactionary refrains are as follows:

Limited time exists to perform analysis - "We need to know now!"

Business analysis skills are lacking - "We are looking for the vendor to tell us!"

The data to perform the analysis are almost always not available in the corporate databases - "We have tons of data, but we don't have it broken down like that."

It is always difficult to predict the future … like forecasting, certain laws about a prediction of ROI will forever hold true…

the prediction will always be wrong

the prediction will always change for as long as the analysis continues

someone is going to be held accountable for the prediction

- "Just give us the bottom line!"

After a quick look at these issues, one might question the effort to undertake the analysis to predict an ROI, as well as the validity of the outcome. Perfect, or even complete, information may not be feasible, but if a few basic principles are followed, some analytical work can provide an understanding of the potential for bottom line impact. It can also yield insight into the root causes of undesirable symptoms from which your business may be suffering.

The reactions of some decision-makers to each of the four challenges that are listed above provide a convenient outline for exploring a more thoughtful and strategic approach to evaluating a potential investment in supply chain management software.

About This Note: This is a four part note, each part addressing one of the four challenges.

Part One covered "We need to know now!"

Part Two covered "We are looking for the vendor to tell us!"

Part Three discusses the challenge of performing the data analysis.

Part 4. "Just give us the bottom line!"

This reaction to the need to understand the future impact of an investment decision is reminiscent of an individual who wants to know what stock they should buy. This person does not want to learn about industry performance. He or she is not interested in the relative competitive strengths of one company versus those of the other companies in the same industry. Nor is this person motivated to research financial statements in order to understand what might be driving a company's performance or whether that performance is getting better or worse. Such an individual simply wants to know if it will be a good investment and how much can be made at the end of 12 months if it is sold. So he or she scans a list of stock picks in one of the many financial publications, chooses the company ranked at the top, and then "places a bet" because at that point, the decision is little more than a bet based on an uninformed hunch. It is likely that this person will be sadly disappointed in the return. The investor will probably try to recover the loss with an equally unconsidered investment decision, leading to a cycle of poorly informed decisions. Obviously, this individual is putting the amount of money about to be invested at great risk because he or she has latched on to an answer without context.

In the same way, decision-makers in a company may rush to a "bottom-line" conclusion, only to have their efforts frustrated because they did not take the time, or do the work, necessary to gain some understanding of what is driving their pain and how their investment decision may affect those drivers. This will often lead to additional decisions that are made without adequate research and consideration in an effort to recover from the first one.

SOURCE:http://www.technologyevaluation.com/research/articles/identifying-the-roi-of-a-software-application-for-supply-chain-management-part-4-just-give-us-the-bottom-line-16423/