DSS (Decision Support Systems) Reports

Quick Win Pilot: Succeed with an initial project in 10 weeks or less
sponsored by IBM
WEBCAST: Through this pilot, you will directly and measurably experience how intelligent decision automation can improve your business before making a larger investment.
Posted: 28 Oct 2011 | Premiered: Oct 27, 2011

IBM

Fraud Prevention and Detection for Credit and Debit Card Transactions
sponsored by IBM
WHITE PAPER: Over the past 20 years, financial institutions, governments, insurers and retailers have seen an explosion in the amount and types of fraud perpetrated against them.
Posted: 07 Jul 2011 | Published: 01 Aug 2009

IBM

How Organizations Make Better Decisions
sponsored by SAS
ANALYST REPORT: This report describes how organizations are attempting to improve specific decisions. Most analyses of decision-making address single capabilities, such as technology, leadership, or group process. In this research, the topics addressed were more comprehensive - the idea being to understand which improvements were used most frequently.
Posted: 13 Apr 2010 | Published: 13 Apr 2010

SAS

Author and deploy rules using WebSphere Decision Management
sponsored by IBM
WEBCAST: Learn how the WebSphere ILOG Business Rules Management System (BRMS) can automate decision making for data validation, eligibility and pricing. This demo uses an insurance industry scenario to show how the WebSphere ILOG BRMS can be used by organizations.
Posted: 07 Jul 2011 | Premiered: Jul 7, 2011

IBM

Business-strength Geocoding: Ten requirements for more cost-efficient and effective business decisions
sponsored by Pitney Bowes Business Insight
WHITE PAPER: Geocoding determines location by linking longitude and latitude coordinates with street address data. By identifying your best customers’ location and defining how to reach them most effectively you possess the ultimate decision making tool. Utilize the power of location intelligence to know the location of your customers, partners and competitors.
Posted: 22 Sep 2010 | Published: 22 Sep 2010

Pitney Bowes Business Insight

Smarter system development: a systems engineering trade study to support green initiatives with model-driven development
sponsored by IBM
WHITE PAPER: Trade study analysis is an effective method of comparing potential solutions to a given problem. Using a model-driven approach allows you to perform trade studies before development or implementation begins and saves time, money, and development headaches. Read on to learn more.
Posted: 14 May 2009 | Published: 01 Apr 2009

IBM

Smarter Lending: Returns come quickly when you increase agility, make better decisions and delight customers
sponsored by IBM
WHITE PAPER: This white paper explores the challenges modern financial institutions face when seeking to implement a smart lending strategy. Inside, learn about the unique methods and approaches available to help overcome these hurdles.
Posted: 10 Aug 2011 | Published: 10 Aug 2011

IBM

Answers on Demand: Bringing the Power of Advanced Analytics to Midsize Businesses [FROST & SULLIVAN]
sponsored by IBM
WHITE PAPER: This resource introduces an advanced analytics tool designed with the midsize business in mind – allowing you to affordably get the answers you need with the data you have. Read on to learn more.
Posted: 08 Oct 2013 | Published: 30 Apr 2013

IBM

The Power of Real-time Continuous Intelligence™ with ESP
sponsored by Sybase, an SAP company
WHITE PAPER: This white paper discusses the inherent challenges of dealing with "big data": overwhelming information that seems to come from everywhere and everything. Continue reading to discover strategies for overcoming these challenges by processing "big data" and providing impressive, real-time decision making.
Posted: 12 Jul 2011 | Published: 12 Jul 2011

Sybase, an SAP company

Got Bad Data? Part 2 - Applying Business Analytics Webinar Series
sponsored by SAS
WEBCAST: SAS presents part 2 of their webinar series “"Got Bad Data?”. In this latest installment, we'll be discussing the Business analytics framework, data quality as a process, data collection, following data flows and uses, data quality and metrics, and continuous learning and improvement.
Posted: 25 Jun 2009 | Premiered: Jun 25, 2009

SAS