Data Center Economics: Analyzing Challenges and Opportunities

In order to meet data center challenges, organizations must take measures to consolidate data centers and look at outsourcing arrangements and alternate models of data center management. However, because carrying out a data center strategy typically requires a large investment in time and costs, organizations today are making tactical decisions that have minimal impact. While some organizations are contemplating alternate models for data center management, others seem to be dragging their feet in making any meaningful changes to their strategy. Find out more in this report on results from a survey that included 75 CIOs and heads of IT from Fortune 1000 companies across US, Europe, and Asia-Pacific.

Featured Software Research:

Analyzing Big Data: The Path to Competitive Advantage

Big data is different from ordinary database information because of the massive volume, the variety, and the velocity. And the data mix now includes product reviews, video, blogs, tweets, and more. But the biggest current challenge may be to articulate a compelling business case for using big data. Find out how companies in various industries are finding value in the data they have already collected and making it actionable. Read More

Cut Datacenter Costs Like AWS: Managing the Economics of Your Virtualized Data Center

The average datacenter is 50% more costly than Amazon Web Services. As cloud economics threaten the long-term viability of on-premise data centers, the survival of IT organizations rests solely in the ability to maximize the operational and financial returns of their existing infrastructure. Download this white paper and follow these four best practices so you can survive: maximize the efficiency of your virtual data center, optimize workload placement within your clusters, reclaim unused server... Read More

You may also be interested in these related documents:

2013 Big Data Opportunities Survey

While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses and a discussion of the results. 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

Automating Your Call Center Feedback

Almost everyone has had a bad call center experience—due to long queues, ineffective interactive voice response (IVR) systems, or an agent who doesn’t communicate well. After, the story is told over and over to friends, warning them about doing business with "that company." Are your customers saying this about your local contact center? If so, do you know why? Learn why you should update your customer feedback systems. Read More
 
comments powered by Disqus