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Critical
Success Factors: Helping IS Managers
Pinpoint Information Need
"Providing
quality information to managers can be the key to meeting organizational goals."
Robert Reck and Adam Crescenzi
(Adapted from original submission to Infosystems, July 1985)
Many of today's information systems (IS) managers are facing an "executive
information dilemma." While it is clear that management needs understandable
and action-oriented information, it is unclear how to identify this information
and implement support systems that provide it in an easy-to-use form.
Managers in many organizations complain that while they are receiving more information
than ever before, the quality of that information is lacking. Quality information
has four characteristics:
Significance and relevance
Managers need information relevant to the critical components of their businesses.
They require data that informs them of what is necessary to meet organizational
goals. For example, the chief executive officer of a large manufacturing firm
might need data that answers the questions, "What is causing the erosion
of the gross margin on Product A?" Quality information can also help managers
take action.
Reliability
Managers need information accurate enough to meet their needs - and not necessarily
of "accounting accuracy." It should come from a source a source with
integrity.
Timeliness
Obtaining information after damage is done or after competition has gained the
lead is ineffective. Data must be accessible when needed so that problems can
be addressed before they occur and business needs anticipated.
Comprehensibility
Good management information causes a manager to say "ah ha!" It provides
insights into the business. If the information is incomprehensible, it is worthless.
Traditionally, data has been provided to management from the operational or
transactional systems of the business. Although data from these systems is usually
accurate and reliable, it is probably not significant, vital and action-oriented
to management.
The reason for this is that management information usually is an unfocused by-product
of the operational systems. These systems contain data that support record keeping
requirements and structured decision making; it is information for the operational
staff. Management information is thus limited to the information content and
analytical capabilities of systems that were designed to help run and keep records
on the business but not manage it.
One way to define a manager's data needs is to identify the organization's critical
success factors (CSFs), a technique developed by John F. Rockhart of the Sloan
School of Management at Massachusetts Institute of Technology. CSFs are those
activities most critical to achieving business objectives. They are, simply
put, the things that must be successfully accomplished in order for managers
to meet objectives. For example, a business objective may be a market share
of 20 percent. To reach this goal, managers must keep close to top customers
and introduce new products on a timely basis.
The process of identifying
CSFs can be extended to identify management support systems' (MSS) needs of
a business. Many companies have used this method to find out what really counts
in a business. Knowing what the CSFs are and determining how they are measured
enable IS managers to identify the support systems needed.
The CSF approach has two major phases: definition and implementation. Definition
begins by interviewing the key business managers who will be supported directly
by the new system. (This is normally 5 to 10 managers in a unit.) In the interview
process, each manager's view of the business' mission, objectives and CSFs
is determined.
After the results of all interviews are approved by the managers, they are
compared. A composite view of the business is prepared by a skilled business
analyst. This is then discussed by the managers at a CSF working session.
An alignment and agreement emerges as CSF priorities are set.
Next, managers determine the measures for both objectives and CSFs. Key data
indicative of the behavior and performance of each CSF are identified. Business
questions dealing with each CSF also are raised. For instance, if achieving
customer satisfaction is one CSF, how do managers measure a change in customer
satisfaction? What would managers want to know if a key customer reduced its
order volume?
A project team is now prepared to identify the MSS opportunities for the business.
This is done by considering the data needs associated with the CSF measures
in conjunction with the information technology required to support each CSF.
The support system defined then is discussed at a working session with managers.
The process now moves to implementation. To successfully support management,
the system should use the appropriate technology, start small and grow in
an evolutionary way. Managers need to be involved throughout implementation
since they are responsible for the objectives and CSFs that the system will
help them manage.
Prototype versions of the systems are developed in successive iterations,
beginning with representative data supporting the CSF measures and evolving
to manually entered business data and to automated input. The way in which
the data is presented can be explored with the manager to determine what form
is easiest to use.
This prototype approach dramatically improves the likelihood of success for
the support system as it grows in complexity and sophistication. Each manager
learns the technology involved and contributes to resolving problems and developing
quality information.
The CSF approach is effective for two reasons. First, it selects the right
problems to be addresses by the support systems. Second, it incorporates a
"top-down" process that focuses on what is important to the business
and how it should be measured, and then uses an appropriate information technology.
There are two keys to making the CSF approach work. First, involve the right
participants. The major participants are the business manager and the analyst
builder. The manager should be a knowledgeable, willing participant with a
real need. The analyst should be able to bridge the gap between the business
and technology to achieve pragmatic results.
Second, use the right tools. The most common mistake is to complicate the
selection process by trying to find the "perfect" technology on
the first try. A better approach is to fit the tool to the task. Do not push
technology for technology's sake.
If carried out carefully, the CSF process will allow IS managers to bridge
the gap between technology and the information requirements of managers.
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Kendall Consulting Group
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© 2002 Kendall Consulting
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