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Title Date Added Company

White paper: Actionable Information for Business Optimization 2007-10-01 IBM

We live and work in a fast-moving and dynamic world, caught between a host of conflicting demands on our time and attention. Against this backdrop we're called on to boil an ocean of information in order to support the decisions that we have to make on an hour-by-hour basis.

In this paper Gary Barnett (a Partner with the Bathwick Group) and Greg Milwid (a Manager within IBM's Software group) discuss the challenges we face when it comes to ensuring that we have the right information, in the right format and context, and at the right time in order to make the right decisions.

Tags: Data Mining - Analysis, Data Quality, Strategic Planning

Using Real-Time Customer Intelligence to Enhance the Customer Experience: How SAS Real-Time Decision Manager Helps Organizations Implement Four Key Components of a Successful Real-Time Decision Strategy 2007-10-01 SAS Institute

SAS Real-Time Decision Manager allows organizations to enhance customer experience across inbound channels while controlling project costs and risks. The solution enables organizations to find superior ways to capitalize on customer interactions. By employing innovative interactive marketing tactics, organizations can realize significant gains in sales and retention, revenue and profitability, and improve the overall customer experience. The purpose of this white paper is to provide a technical overview of SAS Real-Time Decision Manager. The paper discusses four key components of a successful real-time decision strategy - intelligence, agility, performance and control, and integration and coordination - and how SAS Real-Time Decision Manager provides the capabilities one needs for that strategy.

Tags: Business Intelligence - Data Warehousing

Follow the Trend or Make a Difference: The Evolution of Collective Opinions 2007-09-25 Hewlett-Packard (HP)

No aspect of the massive participation in content creation that the web enables is more evident than in the countless number of opinions, news and product reviews that are constantly posted on the Internet. Given their importance their temporal evolution was analyzed in a number of scenarios. It was found that ignorance of previous views leads to a uniform sampling of the range of opinions among a community. Exposure of previous opinions to potential reviewers induces a trend following process which leads to the expression of increasingly extreme views. When the expression of an opinion is costly and previous views are known, a selection bias softens the extreme views, as people exhibit a tendency to speak out differently from previous opinions.

Making Business Decisions Using SAS Mapping Technologies 2007-04-03 SAS Institute

Location and geographic information have become critically important in making business decisions. SAS has a number of mapping technologies that allows one to integrate geographic information with the analytic capabilities of SAS to aid in making those decisions. This paper gives an overview of the existing the mapping technologies, highlights new 9.2 functionality and enhancements and gives two examples of using the mapping technologies.

Tags: Data Mining - Analysis, Business Intelligence - Data Warehousing

Scenario-Based Spatial Decision Support for Network Infrastructure Design 2006-08-01 Carinthia University of Applied Sciences

This paper describes an extended framework for scenario based spatial decision support for constructing new network infrastructure and its application in the domains of telecommunication, forestry and energy. There is an increasing need to provide new planning paradigms to support very expensive strategic investment decisions in new network infrastructure in these domains. The planning processes there are still dominated by an expert approach based on empirical knowledge and manual implementation. With this conventional approach it is impossible to consider different planning scenarios within a reasonable cost and time frame and no cost-based optimization is possible. The paper combined the powerful analytical and visualization capabilities of a Geographic Information System (GIS) with mathematical methods of graph theory and combinatorial optimization.

Tags: GPS - GIS, Network Design

Credit Scoring Vulnerability to Fair Lending Risk 2006-03-06 SAS Institute

Credit scoring has some obvious benefits that have led to its increasing use in the financial services industry, one being that scoring greatly reduces the time needed in the loan approval process. This reduced time means cost savings to the bank and benefits to the customer. Another key benefit is improved objectivity in the loan approval process, which helps lenders ensure they are applying the same underwriting criteria to all borrowers regardless of race, gender, or other factors prohibited by law from being used in credit decisions. Of course the most significant reason for scorecard use is that it allows for better decision making, and lower losses, through empirical analysis of data.

Tags: Data Mining - Analysis, Finance

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Title	Date Added	Company
White paper: Actionable Information for Business Optimization	2007-10-01	IBM
We live and work in a fast-moving and dynamic world, caught between a host of conflicting demands on our time and attention. Against this backdrop we're called on to boil an ocean of information in order to support the decisions that we have to make on an hour-by-hour basis. In this paper Gary Barnett (a Partner with the Bathwick Group) and Greg Milwid (a Manager within IBM's Software group) discuss the challenges we face when it comes to ensuring that we have the right information, in the right format and context, and at the right time in order to make the right decisions. Tags: Data Mining - Analysis, Data Quality, Strategic Planning
Using Real-Time Customer Intelligence to Enhance the Customer Experience: How SAS Real-Time Decision Manager Helps Organizations Implement Four Key Components of a Successful Real-Time Decision Strategy	2007-10-01	SAS Institute
SAS Real-Time Decision Manager allows organizations to enhance customer experience across inbound channels while controlling project costs and risks. The solution enables organizations to find superior ways to capitalize on customer interactions. By employing innovative interactive marketing tactics, organizations can realize significant gains in sales and retention, revenue and profitability, and improve the overall customer experience. The purpose of this white paper is to provide a technical overview of SAS Real-Time Decision Manager. The paper discusses four key components of a successful real-time decision strategy - intelligence, agility, performance and control, and integration and coordination - and how SAS Real-Time Decision Manager provides the capabilities one needs for that strategy. Tags: Business Intelligence - Data Warehousing
Follow the Trend or Make a Difference: The Evolution of Collective Opinions	2007-09-25	Hewlett-Packard (HP)
No aspect of the massive participation in content creation that the web enables is more evident than in the countless number of opinions, news and product reviews that are constantly posted on the Internet. Given their importance their temporal evolution was analyzed in a number of scenarios. It was found that ignorance of previous views leads to a uniform sampling of the range of opinions among a community. Exposure of previous opinions to potential reviewers induces a trend following process which leads to the expression of increasingly extreme views. When the expression of an opinion is costly and previous views are known, a selection bias softens the extreme views, as people exhibit a tendency to speak out differently from previous opinions.
Making Business Decisions Using SAS Mapping Technologies	2007-04-03	SAS Institute
Location and geographic information have become critically important in making business decisions. SAS has a number of mapping technologies that allows one to integrate geographic information with the analytic capabilities of SAS to aid in making those decisions. This paper gives an overview of the existing the mapping technologies, highlights new 9.2 functionality and enhancements and gives two examples of using the mapping technologies. Tags: Data Mining - Analysis, Business Intelligence - Data Warehousing
Scenario-Based Spatial Decision Support for Network Infrastructure Design	2006-08-01	Carinthia University of Applied Sciences
This paper describes an extended framework for scenario based spatial decision support for constructing new network infrastructure and its application in the domains of telecommunication, forestry and energy. There is an increasing need to provide new planning paradigms to support very expensive strategic investment decisions in new network infrastructure in these domains. The planning processes there are still dominated by an expert approach based on empirical knowledge and manual implementation. With this conventional approach it is impossible to consider different planning scenarios within a reasonable cost and time frame and no cost-based optimization is possible. The paper combined the powerful analytical and visualization capabilities of a Geographic Information System (GIS) with mathematical methods of graph theory and combinatorial optimization. Tags: GPS - GIS, Network Design
Credit Scoring Vulnerability to Fair Lending Risk	2006-03-06	SAS Institute
Credit scoring has some obvious benefits that have led to its increasing use in the financial services industry, one being that scoring greatly reduces the time needed in the loan approval process. This reduced time means cost savings to the bank and benefits to the customer. Another key benefit is improved objectivity in the loan approval process, which helps lenders ensure they are applying the same underwriting criteria to all borrowers regardless of race, gender, or other factors prohibited by law from being used in credit decisions. Of course the most significant reason for scorecard use is that it allows for better decision making, and lower losses, through empirical analysis of data. Tags: Data Mining - Analysis, Finance