How to Evaluate Data Deduplication Solutions

Data deduplication is one of the hottest technologies in storage today. However, with many different deduplication approaches from various vendors—each hyping its own unique benefits—it’s easy to get caught up in determining which factors are most important for you. Discover the different methodologies used in design deduplication solutions so you can make the right decision the first time.

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Big Data, Mobility, and Green IT: Innovations for Manufacturers and Distributors

Your business is in good company if it is considering big data, mobility, and/or green information technology (IT) solutions. Before making an investment decision, however, it should evaluate its options relative to actual business strategies and operating requirements. Only then will it put itself in a position to make a well-informed investment decision. Download this article to learn more. Read More

Operational Risk Management in the World of Big Data

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Today, with operational risk emerging as a primary risk threat in all major economies, market players are looking to the potential of big data as a primary driver of next-generation operational risk management. Drawing on current IBM research in the field of big data, this paper shows how operational risk solutions can harness the potential of big data to inform risk management scenarios and analytics. Read More

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Leverage Competitive Advantages in Storage Management

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Of the many challenges businesses face today, managing data growth is one of the most daunting. But while there are myriad choices for storage management solutions, most legacy options cannot address changing business requirements, and the results can cost your organization money, time, and peace of mind. Discover solutions that allow you to optimize your service environment and successfully meet your business challenges. Read More

Scalable Data Quality: A Seven-step Plan for Any Size Organization

Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how. Read More

Six Steps to Manage Data Quality with SQL Server Integration Services

Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost. Read More
 
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