Blog: Dan Power http://www.b-eye-network.com/blogs/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. Copyright 2016 Tue, 28 Jun 2016 09:07:15 -0700 http://www.movabletype.org/?v=4.261 http://blogs.law.harvard.edu/tech/rss Big Brother can watch us Free download:

Power, D. J. (2016), "'Big Brother' can watch us," Journal of Decision Systems,
Special Issue the Proceedings of the 2016 Open Conference of the IFIP WG 8.3, "Big Data, Better Decisions, Brighter Future", Edited By: David Sammon, Frada Burstein, Ciara Heavin, Gloria Philips-Wren, Frederic Adam and Ana Respicio, Volume 25, Supplement 1, 2016, pp. 578-588. Published online on June 16, 2016 at URL 

http://www.tandfonline.com/doi/full/10.1080/12460125.2016.1187420

Abstract
Privacy, surveillance, and government abuse of data are concerns of many people in our complex digital world. 'Big Brother' in the title of this article is a metaphorical warning about the consequences if government uses modern technologies to maintain power and control people. Issues related to the abuse of data and surveillance are not new in the academic literature and mass market media, the current threat is however greater. Technology has advanced to the point where George Orwell's dystopian 'Big Brother' vision of a totalitarian state is possible. Because of technology advances, barriers associated with collecting and processing real-time data about many millions of individuals have been removed. This article explores how the capture and use of new data streams, and processing with AI and predictive analytics can support government control of its citizens. Some components of a system for thought control and real-time surveillance are already in use. These components like cameras, sensors, No SQL databases, predictive analytics, and artificial intelligence can be connected and improved. Decision support researchers must understand the issues and resist attempts to use information technologies to support current or future totalitarian governments.

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http://www.b-eye-network.com/blogs/power/archives/2016/06/big_brother_can.php http://www.b-eye-network.com/blogs/power/archives/2016/06/big_brother_can.php Tue, 28 Jun 2016 09:07:15 -0700
Data science: supporting decision-making
Abstract

Data science is a new academic trans-discipline that builds on 60 years of research about supporting decision-making in organisations. It is an important and potentially significant concept and practice. Contemplating the need for data scientists encourages academics and managers to examine issues of decision-maker rationality, data and data analysis needs, analytical tools, job skills and academic preparation. This article explores data science and the data professionals who will use new data streams and analytics to support decision-making. It also examines the dimensions that are changing in the data stream and the skills needed by data scientists to analyse the new data streams. Organisations need data scientists, but academics need to understand the new data science jobs to prepare more people to support decision-making.


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http://www.b-eye-network.com/blogs/power/archives/2016/06/data_science_su.php http://www.b-eye-network.com/blogs/power/archives/2016/06/data_science_su.php Tue, 14 Jun 2016 23:23:55 -0700
What factors indicate a special study is more appropriate than a DSS? y Daniel J. Power
Editor, DSSResources.com 

Personal and organizational factors, cultural factors, decision factors, information factors and psychological factors vary among decision situations. Every decision situation can not and should not be supported with a computerized decision support system (DSS). A major alternative is to conduct a special study using some computer-based analyses. Given that some decision situations are better supported by preparing a one-time special study, what factors indicate that it is more appropriate to prepare a special study than build a decision support system?

Continue reading this classic column at http://dssresources.com/faq/index.php?action=artikel&id=26

Please cite as:

Power, D. J. "What factors indicate a special study is more appropriate than a DSS?" Decision Support News, Vol. 16, No. 25, December 27, 2015 at URL http://dssresources.com/newsletters/410.php
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http://www.b-eye-network.com/blogs/power/archives/2015/12/what_factors_in.php http://www.b-eye-network.com/blogs/power/archives/2015/12/what_factors_in.php Commentary Sun, 27 Dec 2015 11:41:50 -0700
What is data mining and how is it related to DSS? by Daniel J. Power
Editor, DSSResources.com 

Data mining is a data analysis innovation first discussed in the 1990s. "Big data" and analytics has led to a renewed and expanded interest in data mining technologies. Academics tend to use the related terms Knowledge Discovery and Intelligent Decision Support Methods (Dhar and Stein, 1997) or more derogatory terms like data surfing or data dredging. In general, data mining is a group of analytical methods like neural networks, genetic algorithms, and decision trees, that help people conduct computerized searchs for patterns in a data set. Data mining is both a process and a set of tools.

Continue reading at http://dssresources.com/faq/index.php?action=artikel&id=39

Please cite as:

Power, D. J. "What is data mining and how is it related to DSS?" Decision Support News, Vol. 16, No. 23, November 29, 2015 at URL http://dssresources.com/newsletters/408.php
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http://www.b-eye-network.com/blogs/power/archives/2015/11/what_is_data_mi_1.php http://www.b-eye-network.com/blogs/power/archives/2015/11/what_is_data_mi_1.php Decision Support Sun, 29 Nov 2015 10:12:50 -0700
Is DSS or Decision Support a core concept in Information Systems? by Daniel J. Power
Editor, DSSResources.com 

Academic disciplines have core concepts, the fundamental building blocks or areas of study of the discipline. In many settings concepts are defined vaguely as ideas, notions, or abstractions. A scientific discipline requires more formal definitions of core concepts. In the discipline variously called Information Systems, Information Technology or Management Information Systems, one group of core concepts should be types/categories of information systems. Historically, a decision support system (DSS) has been considered a type of information system. Decision support is a capability that information systems and information technology can provide.

Continue reading at http://dssresources.com/faq/index.php?action=artikel&id=15

Please cite as:

Power, D. J. "Is DSS or Decision Support a core concept in Information Systems?" Decision Support News, Vol. 16, No. 04, February 22, 2015 at URL http://dssresources.com/newsletters/387.php
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http://www.b-eye-network.com/blogs/power/archives/2015/02/is_dss_or_decis.php http://www.b-eye-network.com/blogs/power/archives/2015/02/is_dss_or_decis.php Decision Support Sun, 22 Feb 2015 06:27:48 -0700
What are examples of bad strategic business decisions? by Daniel J. Power
Editor, DSSResources.com 

Bad strategic business decisions lead to bad results. The consequences of implementing the decision may have very negative consequences for the organization. Poor or bad decisions may result from process, individual or situational factors. Paul Nutt (1996) concluded "vast sums of money are spent to make decisions that realize no ultimate value for the organization and managers make the same mistakes over and over again as they formulate the decisions." Can improved decision support and analytics make a difference?

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Please cite as:

Power, D. J. "What are examples of bad strategic business decisions?" Decision Support News, Vol. 16, No. 01, January 11, 2015 at URL http://dssresources.com/newsletters/387.php
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http://www.b-eye-network.com/blogs/power/archives/2015/01/what_are_exampl_2.php http://www.b-eye-network.com/blogs/power/archives/2015/01/what_are_exampl_2.php Commentary Sun, 11 Jan 2015 06:50:41 -0700
What are some use cases with expanded data sources? by Daniel J. Power
Editor, DSSResources.com 

Data volume is expanding rapidly, data variety is increasing and is coming from new sources, and data velocity or speed of capture, transmission and processing faster and the need for real-time data is more common. The advent of expanded data sources has led to new interest in analyzing data and exploiting "big data" -- whatever that colorful phrase means to you. More data is the reality in organizations and managers want to know how the many new data sources can be used to benefit the organization. Use cases document how specific data sources can solve real needs for facts in making decisions.

Please continue reading at http://dssresources.com/faq/index.php?action=artikel&id=303

Please cite as:

Power, D. J., "What are some use cases with expanded data sources?" Decision Support News, Vol. 15, No. 26, December 21, 2014 at URL http://dssresources.com/newsletters/386.php .
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http://www.b-eye-network.com/blogs/power/archives/2014/12/what_are_some_u.php http://www.b-eye-network.com/blogs/power/archives/2014/12/what_are_some_u.php Decision Support Sun, 21 Dec 2014 06:00:16 -0700
How do you tell a good story based upon data? by Daniel J. Power
Editor, DSSResources.com 

Analysis of data should result in telling managers and sponsors stories to summarize what was found. Story telling is however an art. Some of us are born story tellers, many of us need to learn to tell stories. A story has a beginning, a middle and an end. Sometimes a story begins with the final events and then recounts how it happened. Other stories are more sequential and recount events chronologically. There are many story patterns. Data may contain a story, but analysis must reveal the story. Data often has patterns, data is not usually a random collection of observations. During analysis we do need to be careful about removing and eliminating data, removing "outliers", observations that are distant from others, can distort the story.

Continue reading at http://dssresources.com/faq/index.php?action=artikel&id=317

Please cite as:

Power, D. J. "How do you tell a 'good' story based upon data?" Decision Support News, Vol. 15, No. 25, December 7, 2014 at URL http://dssresources.com/newsletters/385.php

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http://www.b-eye-network.com/blogs/power/archives/2014/12/how_do_you_tell.php http://www.b-eye-network.com/blogs/power/archives/2014/12/how_do_you_tell.php Commentary Sun, 07 Dec 2014 06:15:13 -0700
What skills do data-driven decision makers need? by Daniel J. Power
Editor, DSSResources.com 

Decision making habits are often learned by trial and error. Decision making skills are learned through deliberate, systematic effort. Organizational culture also influences decision making behaviors. A culture can promote use of data to make decisions. More data, including "big data", and more and easier to use analytical tools provide an opportunity for improving operational decision making, but many managers must learn new behaviors and skills to actually use data and analyses effectively. Generally, managers must expand their skill sets to become effective data-driven decision makers.

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Please cite as:

Power, D. J. "What skills do data-driven decision makers need?" Decision Support News, Vol. 15, No. 24, November 23, 2014 at URL http://dssresources.com/newsletters/384.php
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http://www.b-eye-network.com/blogs/power/archives/2014/11/what_skills_do.php http://www.b-eye-network.com/blogs/power/archives/2014/11/what_skills_do.php Commentary Sun, 23 Nov 2014 09:19:40 -0700
What is data-driven decision making? by Daniel J. Power
Editor, DSSResources.com 

A recent Capgemini (2012) study found that 9 out of 10 business leaders "believe data is now the fourth factor of production, as fundamental to business as land, labor and capital." That report concludes "Big Data represents a fundamental shift in business decision making." Data-driven decision making refers to the collection and analysis of data to guide or make decisions. Data has been used to support structured decisions since people began collecting and recording data. High velocity data can potentially improve routine, reoccurring decisions, but the impact on unstructured strategic decisions is less certain. Some vendors broadly assert that big data and statistical analysis will be helpful for "all" decisions if we are creative in using data. Decisions are choices among options, but some choices are more complex and difficult than others and some options are ambiguous and poorly defined.

Continue reading at http://dssresources.com/faq/index.php?action=artikel&id=314

Please cite as:

Power, D. J. "What is data-driven decision making?" Decision Support News, Vol. 15, No. 23, November 9, 2014 at URL http://dssresources.com/newsletters/383.php
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http://www.b-eye-network.com/blogs/power/archives/2014/11/what_is_data-dr.php http://www.b-eye-network.com/blogs/power/archives/2014/11/what_is_data-dr.php Commentary Sun, 09 Nov 2014 10:57:10 -0700
Are there strategic decision making big data use cases? by Daniel J. Power
Editor, DSSResources.com 

It is generally assumed that managers want to make data-driven decisions, rather than intuitive or "gut feel" decisions. Some evidence suggests that senior managers are only "pushing" data-driven decision making for operations decision makers. Are there important, strategic, long-term decision making use cases? Do senior business and government executives want to use "big data" to support their strategic decision making? Are there any examples of using "big data" to support strategic decision makers?

Continue reading at http://dssresources.com/faq/index.php?action=artikel&id=313

Please cite as Power, D. J. "Are there strategic decision making 'big data' use cases?" Decision Support News, Vol. 15, No. 22 October 26, 2014.
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http://www.b-eye-network.com/blogs/power/archives/2014/10/are_there_strat.php http://www.b-eye-network.com/blogs/power/archives/2014/10/are_there_strat.php Decision Support Tue, 28 Oct 2014 08:03:39 -0700
What do I need to know about Data Warehousing/OLAP? by Daniel J. Power
Editor, DSSResources.com 

A data warehouse is a central, integrated repository for historical, enterprise data from multiple business systems. An expanded definition for data warehousing includes business intelligence tools for analyzing the data and OLAP is part of the broader category of business intelligence tools. Answering this question in detail depends upon who is asking. Managers need to be familiar with some DW/OLAP terminology, the basic "what is" questions, and they need to have an idea of the benefits and limitations of these decision support components, the why questions. More technical people in Information Systems need to know how and when to develop systems using these components.

Continue reading this classic column at http://dssresources.com/faq/index.php?action=artikel&id=47

Power, D. J. "What do I need to know about Data Warehousing/OLAP?" Decision Support News, Vol. 15, No. 21 October 12, 2014 at http://dssresources.com/newsletters/381.php .
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http://www.b-eye-network.com/blogs/power/archives/2014/10/what_do_i_need.php http://www.b-eye-network.com/blogs/power/archives/2014/10/what_do_i_need.php Commentary Sat, 11 Oct 2014 12:08:11 -0700
What DSS interface design is best for eliciting values? by Daniel J. Power
Editor, DSSResources.com

A person-machine interface is central to the effective use 
of a computerized system like a decision support system (DSS). 
The user interface (UI) shapes the user experience (UX). 
Decision support application developers must be kinowledgeable 
about user interface design concepts and principles. This article 
discusses what it means to elicit values in the context of 
building a model-driven DSS, reviews three approaches for 
eliciting values, and then proposes some hypotheses and design 
guidelines for a DSS interface design that is "best" for 
eliciting values.

Please continue reading this classic column at

Power, D. J. "What DSS interface design is 'best' for eliciting values" Decision Support News, Vol. 15, No. 17 August 17 2014 at URL http://dssresources.com/newsletters/377.php
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http://www.b-eye-network.com/blogs/power/archives/2014/08/what_dss_interf.php http://www.b-eye-network.com/blogs/power/archives/2014/08/what_dss_interf.php Decision Support Sun, 17 Aug 2014 09:00:13 -0700
What kind of DSS does Mr. X need? by Dan Power
Editor, DSSResources.com

There are many "kinds" of decision support for diverse decision making 
situations. Both IS/DSS software designers and managers should ask about 
appropriate decision support for a situation. Decision support analysts 
and designers should know enough to answer the question given the facts 
about the decision making situation. The "kind of DSS" needed is a 
generic question. If we analyze a business decision as a situation, 
abstractly we can define elements like a decision maker, impacted parties, 
the decision setting, and the business environment. We can also analyze a 
specific decision at a specific time and identify the specific decision maker, 
the impacted parties with specific characteristics, the specific setting, 
the decision content, and the interpersonal dynamics that were occurring. 
We can view the situation from the point of view of the specific decision 
maker, a specific stakeholder, an interest group, or an outside observer. 
Let's explore a specific scenario and review questions or criteria to evaluate 
an array of situations. A number of years ago, "Jimmy" posted a decision 
support scenario and asked this question.


Continue reading this classic column at
http://dssresources.com/faq/index.php?action=artikel&id=25

Power, D. J. "What kind of DSS does Mr. X need?" Decision Support News, Vol. 15, No. 16, August 3, 2014 at URL http://dssresources.com/newsletters/376.php
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http://www.b-eye-network.com/blogs/power/archives/2014/08/what_kind_of_ds.php http://www.b-eye-network.com/blogs/power/archives/2014/08/what_kind_of_ds.php Commentary Sun, 03 Aug 2014 07:08:19 -0700
How has and will Moores Law impact computerized decision support? Editor, DSSResources.com 

Predictive "natural" laws provide some comfort in a complex, volatile and uncertain world. The "laws" simplify and make sense of otherwise complex phenomena. Gordon Moore's Law (1965) has provided that type of comfort to many technologists for almost 50 years. Moore, co-founder of Intel Corporation, made a significant observation about computing. So what is Moore's Law and how has it impacted our thinking about decision support?

Continue reading at http://dssresources.com/faq/index.php?action=artikel&id=22

Please cite as:

Power, D. J. "How has and will Moore's Law impact computerized decision support?" Decision Support News, Vol. 15, No. 12, June 8, 2014 at URL http://dssresources.com/newsletters/372.php
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http://www.b-eye-network.com/blogs/power/archives/2014/06/how_has_and_wil.php http://www.b-eye-network.com/blogs/power/archives/2014/06/how_has_and_wil.php Commentary Sun, 08 Jun 2014 09:19:16 -0700