• A Business Case for Customer Data Management

  A practical guide to getting buy in for a 360 degree customer view to fuel great customer experiences

• Data Matching in Your Master Data Management Solution

  This paper examines the challenges associated with identity resolution and critiques the methodologies currently available in the market. It also explains Informatica’s innovative approach to identity resolution and describes how your company can leverage it to maximize the value of your MDM investment and capture growth opportunities.

• How to Get C-Level Buy-In for Your Trusted Data Initiatives

  Three actions expose hidden costs of bad data, quantify revenue gains from a data governance investment, and sell Master Data Management (MDM) to the business.

• 5 Data-Driven Challenges You Must Overcome to Strategically Manage Your Supply Chain

  The Evolving Role and Expectations for Supply Chain and Procurement.

• 10 Things You Need to Know Before Modernizing Your Applications

  Follow these 10 best practices of application transformation to ensure your data stays clean, safe, and connected.

• Accelerating Multichannel Commerce with Rich Data Using Product Information Management

  How a product information management (PIM) system can deliver the sort of rich customer data needed to improve sales across multiple channels.

• A Road Map to Successful Customer Centricity in Financial Services

  This paper discusses three key areas of focus for delivering the right data to enable customer centricity in financial services: Master data management for authoritative customer information; data quality for trusted and accurate business information; and cross-channel data integration for service consistency.

• ROI of Product Data for Multichannel Commerce: Measurable Results in Terms of Margins, Revenue, Costs and Product Launches

  One of the most internationally extensive studies regarding the business value of Product Information Management (PIM) solutions, this study shows where and to which extent PIM provides utility in relation to business models, turnover, and costs for retailers and manufacturers.

• Managing Data Growth in Oracle E-Business Suite with Data Archiving and Test Data Management

  How application ILM solutions can help your IT organization better manage the growing data volume in your Oracle E-Business Suite applications and ensure that SLAs are met while costs are controlled.

• Managing Master Data & Data Quality

  How to implement data quality strategies as a basis for successful product communication.

• Next Generation Information and Data Management for Commerce

  Changing customer expectations and buying behaviors, the critical role of a PIM solution in omnichannel retailing, why and how PIM solutions need to address relevancy by combining product and customer data, and how companies can prepare for the age of commerce relevancy͟.

• PIM for Long Tail: Sales Success with “Long Tail” for Increased Margins in Wholesale and Mail Order

  How Product Information Management (PIM) might be used to increase both sales offerings and profit margins.

• Product Information Management for Search Engine Optimization

  5 ways to supercharge your SEO with PIM.

• Product Information Management for Today’s eCommerce Initiatives: PIM Considerations for eCommerce Re-Platforming

  Common pain points, along with comments from retailers who have either implemented PIM, or made the decision to consider a PIM before addressing their eCommerce re-platforming.

• PIM Implementation: How PIM is Changing Processes and the Organization

  A framework for successful Product Information Management (PIM) system implementation.

• Procurement Benchmark 2013: The Key Success Factors for Return on Investment in Catalog Solutions for Procurement

  This ROI study aims to determine key financial figures and key performance indicators (KPIs) and their impact in the implementation of an e-procurement catalog solution. The study addresses the key issues that should be optimized to generate the quickest ROI.

• Achieving Greater Agility with Business Intelligence

  Improving Speed and Flexibility for BI, Analytics, and Data Warehousing

• Three Approaches to Managing Database Growth

  You can reduce the size of your data, get rid of data altogether, or retire applications and archive their data—but you can’t ignore the challenge of database growth. A guide to choosing the right solution.