Aberdeen Publishes IT Infrastructure, Business Intelligence, and Enterprise Data Management Research

Research Examines Server Virtualization, Cloud Storage Adoption and Gateways, Pervasive Cloud BI, Healthcare Analytics, Big Data Analytics, Real-Time Data Integration

Marketwired

BOSTON, MA--(Marketwire - Sep 12, 2012) - Aberdeen Group, a Harte-Hanks Company (NYSE: HHS), today announced the publication of new research reports from its IT Infrastructure/Storage and Virtualization, Business Intelligence, and Enterprise Data Management research practices.

"The New Breed of Servers: Platforms for Server Virtualization", one of three reports authored this month by Dick Csaplar, Senior Research Analyst for the Aberdeen IT Infrastructure/Storage and Virtualization research practice, reveals that a majority of applications are deployed on virtualized servers. The average rate of server virtualization is 55% but will increase to 71% when all current projects are completed, with the best of the new breed of servers being those that can host the largest concentration of virtual machines (VMs). The report contains metrics from organizations that have been able to gain the most from their investment in server hardware, and data indicate that leading organizations use high-density blade servers 56% more than average companies, and 177% more than laggard companies. To obtain a complimentary copy of this report visit: http://aberdeen.com/Aberdeen-Library/8108/AI-server-virtualization-utilization.aspx.

Next from Csaplar, "Why SMBs and Large Enterprises are Adopting Cloud Storage" shows that while both small and medium-sized businesses (SMBs) and Large Enterprises are adopting Cloud storage, they are doing so for different reasons. Organizations of all sizes are responding to high data growth rates and the need to meet the increasing storage capacity demands. However, SMBs deploy public Cloud storage primarily to gain operational advantages, while Large Enterprises seek to reduce storage infrastructure costs. To obtain a complimentary copy of this report visit: http://aberdeen.com/Aberdeen-Library/8106/SI-cloud-storage-adoption.aspx

Csaplar-authored "Cloud Storage Gateways - Large Enterprises are Learning what SMBs Already Know" shows that both SMBs and Large Enterprises are adopting Cloud Storage Gateways to gain the benefits of public cloud storage. A Cloud Storage Gateway is a network appliance or server-hosted software on the customer site connecting its enterprise storage to the Cloud. The newest or most valuable data is kept local with older data moved to the Cloud based on pre-set policies. While SMBs lead in the adoption of gateways, Large Enterprises are increasingly planning to use this technology. To obtain a complimentary copy of this report visit: http://aberdeen.com/Aberdeen-Library/8109/AI-cloud-storage-gateways.aspx

"Pervasive Cloud BI: Analyst, Advocate, Problem-Solver - All in One", authored by David White, Senior Research Analyst for the Aberdeen Business Intelligence research practice, examines how Cloud BI deployments can help to make analytics usage more widespread throughout the company. The research finds that cloud (SaaS) BI helps to make BI more universal, and often makes a richer set of analytic tools available. To obtain a complimentary copy of this report, visit: http://www.aberdeen.com/link/sponsor.asp?spid=30410182&cid=6348&camp=2.

Also from White, "Healthcare Analytics: Has the Need Ever Been Greater?", looks at the challenges that healthcare providers face with reform and austerity measures. This research examines the operational performance of healthcare organizations compared to other organizations. It also shows how healthcare providers could improve their operating performance by using business intelligence (BI) and analytics better. To obtain a complimentary copy of this report, made available in part by Quiterian and Lancet, visit:
http://www.aberdeen.com/link/sponsor.asp?spid=30410182&cid=6836&camp=2.

Co-authored by White and colleague Nathaniel Rowe, Research Analyst for the Aberdeen Enterprise Data Management research practice, "Go Big or Go Home? Maximizing the Value of Analytics and Big Data" illustrates how organizations can ensure they maximize the value they gain from analyzing big data. The research reveals that organizations working with big data are pursuing self-service analytics, while applying advanced data management technologies. Organizations that follow best practices for Big Data analytics are able to meet business demands for data access 32% more often than those that do not. To obtain a complimentary copy of this report, made available in part by Birst, Calpont, and Tableau, visit: http://www.aberdeen.com/link/sponsor.asp?spid=30410182&cid=7913&camp=2.

Also co-authored by White and Rowe, "Real-Time Data Integration: Driving Near Real-Time Analytics", examines how real-time data integration provides a way for organizations to almost instantly incorporate information from multiple high-volume, high priority data sources into their analytics tools. The research finds that organizations using real-time integration techniques are 22% more likely to get information to the right people at the right time, compared to those that do not employ real-time integration. To obtain a complimentary copy of this report, visit: http://aberdeen.com/Aberdeen-Library/8148/AI-virtual-contact-center.aspx

About Aberdeen Group, a Harte-Hanks Company

Aberdeen Group, a Harte-Hanks Company (NYSE: HHS), is a global, full-service, multi-channel marketing services firm with deep expertise in developing research-based technology marketing content. Enabled by its team of 40 analysts covering 17 industry-sector categories, Aberdeen provides B2B marketers with relevant content assets available in multiple formats that target each stage of the customer buying cycle. 

Aberdeen has offices in Boston and London. Harte-Hanks operates 25 offices in the United States, and has locations throughout Asia-Pacific, Europe, and Latin America.

(C) 2012 Aberdeen Group, Inc., a Harte-Hanks Company
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Boston, Massachusetts 02210-1928
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