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Dan Power

Greetings to all of my friends who work in the area of computerized decision support. This blog is a way for me to share stories from my encounters related to decision support, to comment on industry events, and to comment on other blogger's comments, especially those of my friends on the Business Intelligence Network. I'll try to state my opinions clearly and provide an old professor's perspective on how computers and information technology are changing the world. Decision making has always been my focus, and it will be in this blog as well. Your comments, feedback and questions are welcomed.

About the author >

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.

Editor's note: More Dan Power articles, resources, news and events are available in the Business Intelligence Network's Dan Power Channel. Be sure to visit today!

I promised to list the 35 fundamental questions related to decision support discussed in my upcoming book, Decision Support Basics .

Chapter 1: Decision support systems revisited

1.  What is the need for decision support?
2.  What technology skills do managers need?
3.  What is the history of computerized decision support?
4.  What is the theory of computerized decision support systems?
5.  What is different about modern decision support systems?

Chapter 2: Decision support concepts and key terms

6.  What is a decision support system?
7.  Do we (still) need Executive Information Systems?
8.  What is business intelligence?
9.  What is operational business intelligence?
10. Are BAM and BPM decision support systems?
11. What is knowledge management?

Chapter 3: Recognizing types of decision support

12. What is decision automation?
13. What is a computer supported special study?
14. What are the different types of DSS?
15. What are basic characteristics of a decision support system?
16. What are the features of a communications-driven DSS?
17. What are the features of a data-driven DSS?
18. What are the features of a document-driven DSS?
19. What are the features of a knowledge-driven DSS?
20. What are the features of a model-driven DSS?
21. What type of DSS is it?

Chapter 4: Decision support benefits and tradeoffs

22. What are potential benefits of decision support?
23. Can DSS provide a competitive advantage?
24. Can DSS impact decision outcomes?
25. What are substitutes for computerized decision support?
26. What are possible disadvantages of building and using DSS?

Chapter 5: Identifying decision support opportunities

27. What is decision support planning?
28. What is a decision process audit?
29. Is reengineering necessary to build an effective DSS?
30. What is a decision support system feasibility study?
31. What factors influence DSS implementation risk?
32. What are tradeoffs of outsourcing enterprise-wide DSS?

Chapter 6: Looking forward to innovative DSS

33. Do you need formative or summative evaluation?
34. What are ethical issues associated with DSS?
35. Can project champions reduce resistance to a new system?


Posted May 18, 2009 11:40 AM
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I have not been blogging recently because of a busy schedule. Yesterday, May 15, 2009, was the deadline for getting the draft of my new book to the Production Editor at Business Expert Press (http://businessexpertpress.com/). It was an intense work period, but I met the deadline and I should have corrections from the copy editor in about a month.  The book titled Decision Support Basics is scheduled for September 15, 2009 publication. The book advertising page on the web is at URL http://businessexpertpress.com/node/110.

The book addresses 35 fundamental questions that are relevant to understanding computerized decision support. In an upcoming post I will list the 35 questions. 

Table of Contents

Introduction

Chapter 1: Decision support systems revisited

Chapter 2: Decision support concepts and key terms

Chapter 3: Recognizing types of decision support

Chapter 4: Decision support benefits and tradeoffs

Chapter 5: Identifying decision support opportunities

Chapter 6: Looking forward to innovative DSS

Glossary

 

 


Posted May 16, 2009 8:31 AM
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Let me host your first virtual meeting on my island in Second Life called Iowa.  I live in real life Iowa and Iowa Metaverse, Inc. promotes technology entrepreneurship among other objectives (see iowametaverse.com).

No charge for BeyeNETWORK readers for your first meeting.

Dan

power@dssresources.com

 


Posted March 19, 2009 9:09 AM
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Business computerized decision support is almost 40 years old.  Today's decision support is similar to the first generation systems in some ways and very different in so many ways.  After 40 years of building and deploying systems and 40 years of technology developments, we have many diverse DSS serving many specialized purposes.  In a broad way, thousands of support systems, including data warehouses, business intelligence, forecasting systems, cost estimation models, knowledge-driven advisors, and even document management systems, support business decision makers.

What should managers and MBA students know about modern decision support? I suggest the following columns at DSSResources.com:

What is a modern decision support system?

What do managers need to know about DSS?

Why study computerized decision support?

What are the advantages and disadvantages of computerized decision support?

What are substitutes for computerized decision support?

How has and will Moore\'s Law impact computerized decision support?

What is the technology adoption curve? Is it relevant to DSS?

What are Decision Support technology trends?

How does organization level impact decision support?

Can DSS provide firms with a sustainable competitive advantage? If so, how?

What companies have gained a competitive advantage by building a DSS?

Is there an "information culture" that encourages building Decision Support Systems?

How can managers identify opportunities to create innovative DSS?

What factors impact decision support project implementation risk?

Can DSS impact decision outcomes?

What is the output of a decision support system?

Is reengineering needed to build an effective DSS?

How can DSS impact steps in a general decision process model?

What evaluation criteria are used for decision support projects?

How should decision support projects be managed?

What are advantages and disadvantages of data warehouses?

Is it advantageous to outsource development and operation of Decision Support Systems?

How important is flexibility for a DSS?

How does the use of a Communications-Driven DSS impact a decision-making meeting?

What are benefits of Interorganizational DSS?

What is real-time decision support?

What are challenges of real-time decision support?

What are examples of decision support systems in global enterprises?

What are sources of data for building a data-driven DSS?

What is the expanded DSS framework?

What are the components of a decision support system?

What are the features of a communications-driven DSS?

What are the features of a data-driven DSS?

What is operational business intelligence?

Where can I find information about KPIs for building DSS in different industries?

What are the features of a document-driven DSS?

What are the features of a knowledge-driven DSS?

What are the features of a model-driven DSS?

What decisions are appropriate for model-driven DSS?


Posted March 5, 2009 5:34 PM
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Gartner, IBM Cognos and others have discussed "flawless business inteligence" and "avoiding fatal flaws". So why another discussion? Perhaps a checklist will help improve system implementation and discussion with vendors.

Question #1: What is the purpose of the proposed system? Reporting, ad hoc query and analysis, performance monitoring?

Question #2: Who wants the system? Will they really use it?

Question #3: Is there a data quality problem? How serious is the problem?

Question #4: What vendors are "best in class"? Are you wedded to your current vendor of transaction systems?

Question #5: Do you have a realistic schedule for the evaluation and implementation process?

Question #6: Do you have in-house staff to work on the project? If not, are you comfortable outsourcing to contractors or vendor staff a key decision support capability?

Question #7: Did the person suggesting the project just meet with a vendor or attend a tradeshow? Are they excited about dashboards?

Please ask these questions and review the answers carefully as part of a feasibility study. If the decision is to proceed with a project, invite vendors to respond to a structured request.


Posted February 19, 2009 11:58 AM
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International Conference on DSS, San Francisco, California USA, August 5-6, 2009, papers, panels due March 1, 2009.

DSS 1979 - 2009 - 2039: Reflecting on Yesterday, Assessing Today, Envisioning Tomorrow (http://cob.fsu.edu/mis/icdss/) is the theme of the upcoming International Conference on Decision Support Systems (ICDSS 2009).

The theme of this two day International Conference is to reflect on the past thirty years of DSS activity, assess the current best practices in teaching and research, and envision the next thirty years of it. Concurrently, we will recognize the twentieth anniversary of the founding of the International Society for Decision Support Systems (ISDSS). The conference will be held on August 5-6, 2009, the days prior to the Americas Conference on Information Systems (August 6-9), at the same conference venue (San Francisco Marriott).

The conference will consist of three segments. The first, Reflecting on Yesterday, will examine the rich history of DSS research and teaching by drawing on contributions from the field's luminaries. Contributions from pioneering DSS researchers and teachers have been solicited. Their responses will be synthesized by the program committee into an overview of the DSS field that outlines the accomplishments made and the challenges that exist.

The second segment, Assessing Today, and the third segment, Envisioning Tomorrow, will consist of presentations based on papers submitted in each category. A number of presentations will be scheduled from industry-based thought leaders regarding the application of new approaches to support future decision making environments.


Important Dates

Submissions Due: March 1, 2009 (send to paradice@fsu.edu)

Acceptances Notified: April 30, 2009

Camera Ready Papers Due: July 1, 2009; the Conference book will be published by Springer in the Annals of Information Systems series.

Conference: August 5 & 6, 2009

Program Committee

Frada Burstein, Monash University, Australia

David Paradice, Florida State University, USA

Dan Power, University of Northern Iowa, USA

Ramesh Sharda, Oklahoma State University, USA

check http://dssresources.com/news/2724.php

Americas Conference on Information Systems: http://amcis2009.sfsu.edu/ & http://amcis2009.aisnet.org/

Technorati Tags: International Conference on DSS 2009, Business Intelligence, Decision Support .


Posted January 14, 2009 4:15 PM
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Nancy Killefer, a partner at management consulting firm McKinsey and Co. and former Treasury official in the Clinton Administration, was named Chief Performance Officer to cut waste by President-elect Obama on Thursday, January 8, 2009.

It seems reasonable that a Chief Performance Officer with a management background should identify "key performance indicators" or KPIs based upon Obama's goals. So what should the KPIs be?

1) Net job creation. Obama promises to create 3 million jobs in the next 18 months or so. What is the gain in jobs versus loss of jobs? Obama wants most new jobs in the private sector so a measure of the sector of jobs that are created and average wage of new jobs.

2) Health costs. Obama wants to control rising health care costs. There should be health care cost indexes perhaps on a regional basis that can be used.

3) Health insurance coverage. Obama wants to have everyone in the US covered by some type of health insurance, but he wants a mix of insurance sources. Perhaps measure the % insured or the % uninsured.

4) Price stability index. Obama wants to stimulate the economy and avoid inflation. Perhaps some easily understandable measures like the average price of a gallon of milk by region or a market basket of groceries.

5) Number of foreclosures. Obama wants to get out of the current subprime mortgage crisis and keep people in their homes if possible. Some people paid too much and others falsified loan documents, some people have lost jobs. Perhaps a measure of loans adjusted by lenders or average housing price index is a better metric for Obama's policy goals.

6) Balance of Payments. More goods are imported than exported. Obama wants the US to be globally competitive and have a positive balance of payments. He certainly doesn't want to use tariffs or falling real wages to accomplish this goal. The hope is that increased productivity, innovation and entrepreneurship will lead to increased competitiveness. So perhaps monitor the cateogries of the trade deficit and monitor incentives for increased productivity like spending on new plant, technology and equipment.

7) Fossil fuel consumption. Obama wants to encourage creation of a "green" economony. Monitoring average fuel economy of vehicles, percent of energy from alternative sources like wind and solar, and investment in energy efficiency like better insulation would also help policy makers.

8) Government's cost per person. What is the average cost of operating government for each person in the US. Ideally if we are reducing waste, the cost of government per person should go down. This should be a measure of the "administrative overhead" for government programs.

Ideally about 7 to 8 policy oriented KPIs is all we want and we need specific targets in each area, both short run and long run, and investments and plans to impact the KPIs.

Setting KPIs for Obama is a difficult task. We shall see if Obama, Killefer and the bureaucrats in Washington can figure out performance monitoring.

Technorati Tags: Killefer & Obama, KPI Government, Business Intelligence, Decision Support .


Posted January 10, 2009 9:00 AM
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Today is my first work day after New Year's day so I will indulge in the practice of making resolutions. New Year's resolutions are typically efforts to improve, correct weakness, do better in the New Year. So what are my 2009 resolutions?

1) maintain better contact with my colleagues. I will try to use Linkedin more effectively. Please network with me and read my profile at www.linkedin.com/in/danpower .

2) improve my SQL skills. I still get trauma with nested sub queries, correlated queries, and outer joins. I try to keep my SQL simple, but I need to practice.

3) write more and get more feedback from people actually working with IS/T on my ideas. My newsletter reaches many practitioners of the arcane art of decision support, but I will try to request more formal reviewers. Please send me feedback.

4) travel first class or travel less. My trip to Paris a few weeks ago was a success on many levels, the presentation was well received and I had some great social encounters. Sadly travel is tiring and my legs don't do well cramped in a seat. So quality over quantity in my travels in 2009.

5) say thank you to all my readers, family, colleagues and friends with the beyeNETWORK. My wife Carol is the unsung hero in keeping our household and the family business going. So thanks Carol.

6) get a smart phone with a data plan. My two oldest sons both have smart phones, Alex, a G phone, and Ben, a Blackberry Storm. I don't think I am ready for texting and I don't have extensive travel to justify the cost, but I want one of these devices as a "toy". I have seen the Apple iPhone in action too. Which will I get? I want the G phone because of the keyboard and the open development environment. Sadly, I don't have T-Mobile in my area and I have a contract with Verizon. Ah ... the barriers to entry.

7) drink some good scotch. Again I'll focus on quality over quantity. My single malt scotch collection is expanding. A bottle of Lagavulin is my next purchase. I sampled some a few weeks ago. According to Wikipedia "Lagavulin Single Malt is a single malt Scotch whisky produced on the island of Islay. It has a powerful, peat-smoke aroma. It is described as being robustly full-bodied, well balanced, and smooth, with a slight sweetness on the palate."


Technorati Tags: New Year's Resolutions, Business Intelligence, Decision Support .


Posted January 2, 2009 6:16 AM
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Recently I signed a contract to serve as the Information Systems Collection Editor for Business Expert Press (http://www.businessexpertpress.com/).

My goal will be to recruit authors who can prepare a "concise, academically reliable, yet no-nonsense applied book" on a specific Information Systems topic. These books will be 50 pages to a maximum of 150 pages in length -- focused, authoritative, and a fast read.

Over the next few years the goal is 40-50 titles in this collection. Please contact me with your ideas, email daniel.power@dssresources.com .

Some titles that I brainstormed include:

1. Understanding Data-driven Decision Support

2. Modern Decision Support

3. Practical Knowledge Management

4. Relational Database Basics

5. Creating Collaborative Supply Chains

6. Building a Real-time Enterprise

7. Designing and Building a Datawarehouse

8. Information Stewardship and Master Data Management

9. Designing an Information System

10. Managing the Information Systems Function

11. Managing Information Systems Projects

12. Requesting Proposals from Vendors

13. Renovating an Information Systems Architecture

14. Using Virtual Worlds for Decision Support

15. Implementing Enterprise Resource Planning

16. Adoption and Diffusion of Inormation Technology

17. Using Information Technology in Health Care

18. Evaluating Information System User Interfaces

19. Outsourcing Information Systems

20. Business Performance Management

21. Decision and Process Automation

22. Information Systems Security

23. Implementing Accounting Information Systems

24. Social Networking

25. Implementing Web Services

26. Using Open Source Software in the Enterprise

27. Mobile Computing

28. Electronic Government Applications

29. Strategic Information Systems

30. Role of the Chief Information Officer

31. Using Quantitative Models for Decision Support


Technorati Tags: Business Expert Press, Business Intelligence, Decision Support .


Posted December 23, 2008 6:24 AM
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In preparation for my talk on challenges of real-time decision support, I revisited the arguments of Davis and Meyer in BLUR. In their 1998 book, Davis and Meyer correctly identified three trends or forces in developed countries that were and are changing how businesses operate and that are creating BLUR. The forces are an increasing need for speed, increasing connectivity and a greater emphasis on intangibles. BLUR is the "meltdown" of traditional boundaries between products and services, and anything else!

Speed: Every aspect of business and the connected organization operates and changes in real time.

Connectivity: Everything is becoming electronically connected to everything else; products, people, companies, countries, everything.

Intangibles: Every offer has both tangible and intangible economic value. The intangible is growing faster.

These forces are stronger and are creating BLUR, real confusion. Davis and Meyer suggest ways organizations and individuals can adapt to, respond to, and become BLUR. That approach is wrong!

These forces are much more powerful today in 2008 than in 1998, and much harm has been done by accepting BLUR. My solution is to provide more, better, and innovative real-time decision support. We must see clearly. BLUR and these 3 forces are compounding the current financial crisis and may have created it. Speed, connectivity and intangibles have led many to make poor choices. Blurry vision is never good!

It will not be easy, but managers, regulators, and consumers need better real-time decision support to cope with BLUR and make better decisions. We need to deBLUR.

Davis, S. and C. Meyer, BLUR, Cambridge, MA: Perseus Books, 1998.

Technorati Tags: BLUR, Business Intelligence, Decision Support .


Posted December 14, 2008 11:02 AM
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