Welcome to the Silver Creek resource center where you can find in-depth information about integrating, maintaining and sharing product data.
The Unique Requirements of Product Data Quality
This monograph from The Data Warehouse Institute (TDWI) makes the case that data quality has traditionally focused on customer data and the inclination to apply the same techniques to other data types can compromise data quality integrity.
Bloor Research: Key Elements of Master Data Management
This just released white paper from Bloor Research delivers some very useful insights into the needs, practices, and challenges faced by companies implementing a Master Data Management (MDM) program. Recommendations are offered based on customer experiences and industry best practices.
"Changing the Econonomics of Product Data Integration"
DM Review magazine presents a product review of the DataLens System by leading healthcare company.
Best Practices for Product Data Solutions
TDWI audio interview of Silver Creek Systems' CEO and President Barbara Mowry about best practices for product data solutions.
Ventana Research Benchmark Product Information Management: Business and Technology Trends
This independent benchmark research reveals critical insights into the needs, practices and problems faced by organizations planning or implementing PIM, and recommends a six-step approach for PIM adoption.
Great E-commerce Needs Great Product Data
This white paper shows how transforming unstructured product information into clean, reliable, consistent and well-structured information can deliver higher conversion rates, larger shopping carts, and increased margins.
IBM Partner Ecosystem Extends Portfolio Capabilities
Intelligent Enterprise article by Mark Smith covers the recent IBM On-Demand Conference
Solution Spotlight: Automating Information Supply Chains
Information supply chains choked with incomplete or inaccurate data make it difficult to respond quickly to business change or exploit sales opportunities. Learn how to solve these problems with this report.
Why Good Product Data Matters
This recent article by ebizQ analyst, David Kelly, shows why having the right product data in the right form at the right time is more important than ever before
Supply Chains and SOA
Another David Kelly article highlights how Incomplete or unstructured data can prevent effective communication and reduce the effectiveness of SOA strategies
Service-Oriented Architecture and Data Integration Basics
Listen to this 15-minute Podcast to learn about data integration in a SOA, "data as a service" and get tips for evaluating data integration technology
Data Service Applications: The Missing Link in Information Supply Chain Automation
New technology: Data Service Applications are a breakthrough approach to automating Information Supply Chains, eliminate the need for costly workarounds and provide the ability to serve up reliable, complete product information in the right form — on demand.
Data Services: the Missing Link in Your SOA Strategy?
One of the key areas missing from many SOA strategies is the data services layer for extracting and mapping semantic meaning, managing data quality, and data policies
Automating Product Data Quality for Trouble-Free PIM-MDM
br /> Many PIM and MDM projects struggle daily to load, integrate and repurpose product data. New semantically-savvy technologies finally automate these essential processes, ensure high quality product data, and dramatically improve the odds of successful PIM and MDM deployments.
Solution Spotlight: Automating Information Supply Chains
"Businesses suffer every day when they cannot fully leverage a critical corporate asset —the product data that drives their business...Information supply chains can be automated with Data Service Applications"
Product Information Management: Forcing the Second Wave of Data Quality
To meet the tough challenges posed by product data, new Data Quality solutions will leverage semantic technology, extending traditional syntax tools which were originally developed for less complex data, such as customer data.
The Hidden Challenge of PIM-MDM
As the pressure for supply chain integration intensifies, both PIM and semantic-based product data quality solutions will become an accepted part of the enterprise landscape. Solutions that automate Product Data Quality are the Key to maximizing Product Information Management Performance.
5 Steps to Eliminating Product Data Bottlenecks in PIM-MDM
Don't miss this critical 2-page primer for ensuring optimum PIM-MDM performance.
Driving a Compelling Online B2B User Experience for Manufacturers & Distributors
Learn how Corporate Express was able to dramatically speed up its data cleansing initiatives and provide customers with a customized, flexible, and intuitive B2B purchasing experience that increased online sales
Discovering the Information Supply Chain
Silver Creek Systems CEO Barbara Mowry explains the critical need to keep Information Supply Chains moving at peak performance in order to remain competitive in today's marketplace.
Eliminating Product Data "Breakage" in the Information Supply Chain
An efficient Information Supply Chain is critical to serving up relevant and powerful online searches, driving conversions and increasing revenues. This paper explores the dangers of ignoring the bottlenecks product information cause within your Information Supply Chain.
Semantic Integration: Tapping the Full Potential of Enterprise Data
The Growing Externalization of Business Processes Requires the Discovery of Meaning in Data
By Neil Raden, Principal of HB Research
The trend to externalize enterprise data continues unabated, creating a swarm of data integration problems that simply don't exist within the firewall. Traditional approaches are fading, and only semantic integration seems up to the new challenge.
Data Usability in Enterprise Data Integration: The Need for Semantic Translation Technologies in Creating Usable Data
By Claudia Imhoff, Ph.D., and president of Intelligent Solutions Inc
Existing technologies have a critical gap in their ability to reconcile disparate data from disparate sources. This white paper discusses those limitations and an alternate approach to Semantic Translation for enterprise-wide Data Usability.
