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Identifying Opportunities to Create Innovative Decision Support Systems
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by Dan Power
Published: 27 March 2008
Decision support planning should involve broad consultation and both problem-oriented and opportunistic search.

Once a manager believes it is possible to gain significant benefits or even a competitive advantage from building an innovative decision support system (DSS), then a systematic search process is needed to identify opportunities, significant decision process problems and decision-maker needs. Some creativity and forward thinking are important. Also, much can be gained from systematic decision process audits (cf., Power, 2002), working with consultants and brainstorming sessions.

There are many IS/IT planning processes and analysis frameworks like strengths, weaknesses, opportunities and threats (SWOT) analysis or gap analysis that might help find decision support opportunities. An information systems planning process should provide a systematic method of searching for and evaluating IS/IT opportunities including decision support. The IS/IT planning must be linked to business-level strategic planning, and the process should be ongoing and open-ended. The planning should identify goals and objectives for decision support. Managers need to collect competitive intelligence; fund DSS research and development projects; conduct regular brainstorming sessions; and, in some cases, follow hunches and intuition about using technology to improve or speed-up decision making. Ideally, complex, IT-enabled companies should have a written decision support plan.

A good technology planning process should examine the technology infrastructure to determine what is currently possible and examine enhancements that would facilitate or enable new decision support capabilities. Decision support planning should involve broad consultation and both problem-oriented and opportunistic search. Decision support systems do not always solve specific problems; rather decision support systems may create new capabilities for customers, suppliers or even members of the board of directors of a company. Evaluating DSS opportunities is sometimes difficult because of problems with assessing costs and benefits and that difficulty cannot be avoided. A good description of the new capability and a scenario explaining the use of the DSS may help in understanding the benefits. In some situations, the opportunity analysis will be directed to a buy decision because industry-specific decision support packages are available. This type of off-the-shelf DSS may be needed, but the resulting DSS will not be innovative and it probably will not provide a major benefit or competitive advantage.

One approach for finding innovative decision support opportunities is to monitor technology trends and identify decision support system innovations in other industries or in consumer markets. The success of Apple Computer’s iPhone suggests that a device with easy-to-use web surfing and integrated communications may be ready for developing innovative decision support applications.

Another approach is to identify the tactical and strategic decisions that make a major difference in the success of the business. Then managers should conduct a decision process review and monitor the effectiveness of those decisions. Sometimes a close examination of “how” a decision is made creates insight and an “aha” experience that leads to decision support innovation.

Also, asking employees for suggestions about ways to improve decision making may highlight opportunities. The employees who observe results, suffer from poor processes or hear the “wrath of customers” may have insights that lead to decision support innovation.

Finally, talk to vendor salespeople. This is useful, but managers need to keep in mind the inquiry is initiating a selling process. The vendor representative shares what he or she knows about “best practices” to help identify the manager’s needs for decision support. The salesperson will be trying to identify a major need and “gap” in current decision support. Once that “gap” between existing and desired decision support is identified, a good salesperson will try to identify solutions his/her company has that can fill all or part of the “gap.” At some point, a vendor representative will explain how the manager can solve the decision support “gap.” Remember the vendor salesperson’s goal is selling software and services and having a “satisfied” customer. The best customer for computerized decision support is a knowledgeable manager who asks good questions.

The ultimate decision to invest in a DSS project should be based on many factors and not just project risk. Sometimes, the DSS project that is most likely to result in a competitive advantage is the riskiest project (cf., Applegate et al, 1996).

Decision support technology is changing and evolving very rapidly. MIS managers, business managers and academics face a difficult challenge trying to stay abreast of those changes and to make good, informed decisions about building and maintaining decision support systems for organizations. The goal of my website at DSSResources.com is to provide an integrated, authoritative source of information relevant to building, choosing and understanding computerized decision support systems.

Managers must determine who a proposed DSS will support and whether they will use the DSS. Also, managers must know what result is desired from using an innovative DSS. The bottom line is that an innovative decision support system must create value.
Decision support planning becomes more sophisticated and more innovative as managers experience success with using information technology to support decision making.

References:

Applegate, L., F. W. McFarlan and J. L. McKenney. Corporate Information Systems Management. Chicago, IL: Irwin, 1996.

Neumann, S. Strategic Information Systems: Competition Through Information Technologies, New York, Macmillan, 1994.

Power, D. Decision Support Systems: Concepts and Resources for Managers, Greenwood/Quorum, 2002.

Power, D. “How can managers identify opportunities to create innovative DSS?” DSS News, Vol. 8, No. 25, December 16, 2007.


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Daniel J. "Dan" Power is a Professor of Information Systems and Management at the College of Business Administration at the University of Northern Iowa and the editor of DSSResources.com, the Web-based knowledge repository about computerized systems that support decision making; the editor of PlanningSkills.com; and the editor of DSS News, a bi-weekly e-newsletter. Dr. Power's research interests include the design and development of decision support systems and how these systems impact individual and organizational decision behavior.

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