Whitepapers


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10 Reasons to Strengthen Security with App and Desktop Virtualization
By Citrix | 25/5/2016

Regain control and reduce risk without sacrificing business productivity and growth.

By using virtualization, organisations can pursue top priorities such as mobility, flexwork and consumerization while effectively managing risk, securing information, supporting global compliance and strengthening business continuity planning.

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Security Leadership Series: Security Strategies for Success
By Citrix | 25/5/2016

Are you protecting the information that matters most?

In this exclusive Security Leadership Series eBook, Citrix chief information security officer Stan Black and chief security strategist Kurt Roemer share best practices for:

- Leading meaningful security discussions with the board of directors - Engaging end users to protect business information - Meeting security-related compliance requirements

For IT leaders, these security strategies for success are essential reading. Get started today.

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Secure App and Data Delivery—Across Devices, Networks and Locations
By Citrix | 25/5/2016

This white paper examines how Citrix® XenApp® can dramatically reduce the effort required to protect mission-critical information, while giving users fast, simple, flexible remote access that enhances business productivity.

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eBook: Migrating, Managing, and More
By Microsoft | 16/5/2016

This report is designed to help IT pros to learn from peers who are dealing with similar challenges and opportunities. Through it we share perspectives on how to use cloud computing to improve business performance and position for the future.

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Magic Quadrant for Operational Database Management Systems
By Microsoft | 16/5/2016

As the operational DBMS market enjoys a dynamic resurgence, new entrants are challenging established leaders. Information managers will be especially interested in the changes in the Leaders quadrant, the strength of dbPaaS vendors, and the emerging feature parity of new and old vendors.

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Magic Quadrant for Business Intelligence and Analytics Platforms
By Microsoft | 16/5/2016

The BI and analytics platform market's multi year shift from IT-led enterprise reporting to business-led self-service analytics has passed the tipping point. Most new buying is of modern, business-user-centric platforms forcing a new market perspective, significantly reordering the vendor landscape.

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Put The Business Back In Your Data Management Business Case
By Microsoft | 16/5/2016

Be customer-driven: It’s time for enterprise architects to put the business back in the business case. They need to partner with business stakeholders to define where and how data will advance the business and what capabilities it needs to evolve into a data driven organisation.

This report describes which stakeholders architects should engage with to gather the information they’ll need. It also tells them how to build business strategy into their data strategy as well as how to make the business case for their data management agenda.

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Enterprise Metadata Management Improves Information's Accessibility and Increases Its Value
By ASG Group | 11/5/2016

Find out how an EMM strategy can ensure consistent information through shared and governed data. Most CIOs and CDOs lack an enterprise management strategy. This means that the value of information is not being fully exploited in their organisations. This analysis from Gartner reveals how linking trusted metadata significantly increases the value of information assets for an enterprise.

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Top 5 US Bank Finds New Value From Metadata Applications: A Case Study
By ASG Group | 6/5/2016

A financial institution was looking to create a world class process and strategy to automate the data forensics and resolve regulatory requirements across the organisation. This study covers the early implementation and integration stages of a highly successful data-lineage project collaboration between a major financial institution and ASG.

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ASG’s Enterprise Data Intelligence Solutions: Data lineage - diving deeper
By ASG Group | 6/5/2016

Knowing where data came from, how it moves through systems, and how it changes, is the most critical and most difficult task in any data management project. This paper describes how to get the fastest and most comprehensive data lineage mapping and visualisation capability to govern and guide data projects.

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