Data Warehousing

Proactive Data Management Controls Data Growth. To take control, organizations must begin with the conscious decision not to let data growth proceed unexamined.

Adopting an Integrated Data Management strategy can be a highly effective way to help IT support business growth, facilitate data governance and manage costs.

In this white paper we will discuss data breakage and access in more detail, and then briefly consider how IBM Optim works, particularly with respect to System z, though Optim's capabilities are also generally applicable to distributed systems.

All enterprises dealing with private data in test environments should mask or generate test data to comply with regulations such as Payment Card Industry (PCI), the Health Insurance Portability and Accountability Act (HIPAA), Sarbanes-Oxley (SOX), and European Union (EU) as well as to protect against internal and external attacks.

Experienced business users are demanding an integrated view of unstructured content -- or "soft" information - with the harder data already available to them in the warehouse.

This paper describes how unified information access bridges information silos by uniting content and data in one index, which enables powerful solutions and applications that offer more complete insight.

Read this Technology Evaluation Centers paper for information on how to use Information Technology to drive better information quality and better decision-making.

Improving your company's efficiency and effectiveness, no matter its size. This white paper from SAP offers guidance on how to improve the efficiency and effectiveness of your company with business intelligence.

This study highlights best practices from 72 companies to identify how best in class organizations use data to achieve superior performance.

As a major wholesale retailer and distributor, Elektroskandia is highly dependent on its Central Warehouse Management System. But this critical application was running on an aging mainframe and, with the discontinuation of its operating environment, the system's support and maintenance costs had grown to unacceptable levels.

The increasingly sophisticated nature of information theft, and the continued emergence of new data privacy protection regulations worldwide, requires strong data security. Effective information security starts by protecting data at the source - the databases in which it resides. Historically most organizations have relied on network perimeter and application level security to restrict access to sensitive data, leaving their databases and the sensitive information inside exposed.

If you are responsible for BI (Business Intelligence) in your organization, there are three questions you should ask yourself: - Are there applications in my organization for combining operational processes with analytical insight that we can't deploy because of performance and capacity constraints with our existing BI environment?

Hear from Security Executive, Jack Danahy, of IBM's Rational Software Group explain why application security is a critical priority for 2010 and beyond. He will highlight the drivers in the marketplace, define what application security encompasses, explain the business impact of developing an application security strategy, provide insight into how to get started on implementing an application security process, and give examples of best practices of a solid application security approach.

Profiles of the Leading Warehouse Management Software Vendors.

Learn how IBM's DB2 portfolio can help transform your data center. Download this free white paper from IBM to learn more!

Download this free IBM white paper to learn how to better manage your data center with System z.

Learn more about IBM's approach for reducing complexity and unifying data and content archiving.

Get more out of your information when you need it, and get rid of it when you don't. IBM's Smart Archive strategy will save you time, money and resources with a unified, enterprise-wide approach to archiving and information governance.

Now more than ever, IT managers must spend carefully to keep from negatively impacting the bottom line. Download this paper to learn how you can realize significant savings in storage.

Revenue assurance analysts at a top-tier US-based carrier studied this every day. Primarily focused on detecting fraud, revenue sharing contract violations and incomplete revenue collections, they had the need to query and analyze call detail record (CDR) databases that grow by millions of new CDRs every day.

In a world of growing data volumes and shrinking IT budgets, it is critical to think differently about the efficiency of your database and storage infrastructure. The Vertica Analytic Database is a high-performance, scalable and cost-effective solution that can bring dramatic savings in hardware, storage and operational costs.

Ovum takes a deep-dive technology audit of Vertica's Analytic Database that is designed specifically for storing and querying large datasets.

For over a decade, IT organizations have been plagued by high data warehousing costs, with millions of dollars spent annually on specialized, high-end hardware and DBA personnel overhead for performance tuning. The root cause: using data warehouse database management (DBMS) software, like Oracle and SQLServer that were designed 20-30 years ago to handle write-intensive OLTP workloads, not query-intensive analytic workloads.

This white paper from Business Objects, an SAP company, explores the growth trend of unstructured data and examines the many benefits of unstructured data analysis.

The goal of this article will be to contribute to the emerging dialog on the subject of business value by extrapolating from BI lessons learned and from DecisionPath Consultings experience working with Fortune 1000 customers and Government agencies.