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Business Intelligent Best Practices: Delivering Real & Expected Value
by Bhupinder Ahuja
The success of any technology depends on how simple and easy it is to use. With BI getting out of the confines of PhDs and analysts, and getting into the realm of everyday business users, this dictum
is more important than ever.
Techniques and Tools for Data Quality Management
by David Loshin
In an important new whitepaper, David Loshin examines how data quality technology, tools and techniques support best practices in data quality management.
Innovative Use of Timely Information in Airline Industry
by Richard Hackathorn, Scott Healy
The airline industry focused paper details the benefits of an infrastructure that integrates and distributes both transactional and analytic information in real-time, while providing continuous
availability.
Fusion Centers: Turning Data into Actionable Intelligence
This paper describes best practices in achieving effective data integration, meeting federal standards for data integration, leveraging existing technology tools, and creating an infrastructure that
supports your Fusion Center’s mission.
Accelerating Data Integration Initiatives with Automated Data Discovery and Rapid Prototyping
This paper discusses the challenges these processes pose and describes Sypherlink’s productivity toolset for automating these tasks, accelerating project timelines, reducing project risk, and
providing a faster time-to-value.
The Three (Best Kept) Secrets to Data Integration Success
by Jim Gallo, James Paat
This white paper focuses on three important candidates for automation and acceleration that, if done properly, can assist in overcoming barriers businesses face while delivering strategic data
integration initiatives.
The Virtual Prototyping Warehouse
This white paper outlines the concept of virtual prototyping as a method to reduce the risk of data sharing projects.
Enterprise Information Management: Tentative Past, Promising Future
by Alan Simon
This white paper explains why EIM is finally becoming a reality.
Data Quality First: It’s Just Logical
by Michael Schiff
The importance of trusted information to successful data integration and business intelligence.
Data Integration in a Service-Oriented Architecture
A strategic foundation for maximizing the value of enterprise data.
Cost-Effective Scalability with Informatica
Informatica PowerCenter 8 on HP Grid on Linux
Enterprise Data Integration in Financial Services
Leveraging the value of your data assets.
Implementing or Upgrading SAP? Don't Forget the Data
Addressing the challenges and risks of data migration.
Accelerate Application Data Migration with Informatica
Enterprises should look to proven migration solutions to ensure projects stay on budget and are successful.
Master Data Management: Challenges to Success
by David Loshin
Exploring some expected challenges in implementing an MDM program, and provide some suggestions that can ease the transition to the MDM environment.
Data Integration: Using ETL, EAI, and EII Tools to Create an Integrated Enterprise
by Colin White
A sequel to TDWI’s 2003 Data Integration Report, evaluates the recent evolution of data integration tools and methodologies, from both a data warehousing perspective and an enterprise-wide strategy standpoint.
Using Data Integration to Build a Single, Accurate and Consistent Customer View
by Robert Lerner
This paper examines the challenges that companies face in creating a unified view of its customers, and discusses how customer data integration (CDI) provides a complete and accurate customer view.
A Taxonomy of Data Integration Alternatives
by Fernando Martinez-Campos
Baseline Consulting evaluates the ongoing process of data integration.
Essential Guide to Real-Time, On-Demand Information for the Right-Time Organization
Lakeview Technology software-based data replication solution drives value by providing simplified, on-demand enterprise-wide data sharing and right-time data integration for any business.
Third Generation ETL: Delivering the Best Performance
by Yves de Montcheuil, Christopher Dupupet
The process of selecting an ETL (extract, load, transfer) software solution is typically a complex one, during which many features need to be evaluated. This Sunopsis white paper presents the different generations of ETL tools and their architecture.
A Global Vision for Unified Integration
by Alain Dumas
This Sunopsis white paper discusses the key issues with integration architectures, and presents a global vision for unified integration - an architecture that provides fast and reliable integration with an optimized return on investment.
Integrating Medical Data
by Bill Inmon
Medical and healthcare data has always been troublesome when it comes to integration and analysis.
Implementing TM1 In Your Computing Environment
Applix provides what every IT executives needs to know about TM1
Customer Data Integration Implementations
by Anurag Wadehra
Why all implementation styles are not created equal.
Developing SOA Solutions to Accommodate Variety and Change
by Michael Hoskins
With integration processes as the key building blocks of a flexible integration strategy, SOA can accommodate variety and change, thereby fully delivering on the promises of the agile enterprise.
The Integration Imperative
by Robin Bloor
The ISV Business Opportunities of Pervasive’s Integration Products.
Datamonitor Closes the ISV Integration Gap
Embedded Integration, the catalyst to ROI.
Datamonitor
Pervasive Explores the Business Imperative
Tackling Today’s Biggest Integration Cost Drier: Labor
The Business Imperative: Build versus Buy
Pervasive integration software applications now offer a compelling alternative to the expensive, time-consuming quagmire of in-house development.
IPEDO's Guide to Enterprise Information Integration
A glimpse into a new technology that allows companies to combine data from disparate sources into a single application.
A Firstlogic Guide to Matching Methodologies
Maximize the results through a combination of best-of-breed algorithms.
Improving Customer Care in the Financial Services
by Judith Lamont
Automated information capture can provide improved customer care by increasing the speed and accuracy with which customer information is processed by financial institutions.
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