WHITE PAPER:
This white paper offers greater detail on 3 key findings, plus 5 recommendations about implementing a successful information retention and eDiscovery program.
WHITE PAPER:
Access this expert resource to discover the most recent trends in data integration, curation, and preperation – and to learn what these trends mean for you.
WHITE PAPER:
Effective enterprise data management strategies that include archiving provide a full-lifecycle approach for managing enterprise application data. Learn how archiving data enables you to improve performance, control costs and minimize risk.
WHITE PAPER:
In this white paper, you'll learn how cognitive-based systems can help you to build knowledge, understand natural language, and provide confidence-weighted responses. Read on to see how these systems can quickly identify new patterns and insights.
WHITE PAPER:
Read this paper to learn how IBM is applying its expertise, global scope, and creativity to build the information backbone of twenty-first-century industries and public institutions. Continue reading to learn the benefits that a smart archive strategy can provide for your organization.
WHITE PAPER:
Access this whitepaper now to see how to provide a strategic view of your value chain, and uncover business trends in your trading partner network.
WHITE PAPER:
Spatial analytics is an increasingly viable way for business users to apply context in their data management process. Access this whitepaper to discover the power of considering time and place for better analysis.
WHITE PAPER:
This paper discusses an approach to evaluating data at a business level, and implementing a data protection strategy that safeguards your organization based on the value of its data.
WHITE PAPER:
Access this report for real-world results businesses are experiencing when they tap the data available to them. Read on to see the growing role of analytics, and how to leverage such insights for actual business improvement.
sponsored by Innovative Routines International, Inc.
WHITE PAPER:
RowGen provides a cost-effective alternative to the practice of production data replication. This is accomplished by providing data content that requires no additional security measures.
