WHITE PAPER:
This white paper highlights two popular cross-border cases and recent developments in global data privacy laws, while also addressing common questions that legal teams are presented when faced with cross-border e-discovery issues and best practices for improving e-discovery and regulatory cross-border privacy processes.
WHITE PAPER:
In 2010, SpiderLabs performed more than 220 investigations worldwide. In 85% of the investigations, a system breach was confirmed. Of those entities in which a system breach was confirmed, 90% involved the actual theft of sensitive data, representing criminals’ effectiveness in extracting data once system access is obtained.
WHITE PAPER:
This white paper provides an overview of how companies can use the capabilities in Microsoft® Office 2010 and Microsoft SharePoint® Server 2010 with Microsoft Dynamics to achieve these goals.
WHITE PAPER:
This whitepaper is about enterprise architecture as it pertains to finding and maximizing the business value in greener operations. Higher energy efficiency and a smaller carbon footprint are obvious areas of interest for any business, but how do you balance these goals with productivity, customer service, and all your other business concerns?
WHITE PAPER:
This white paper discusses the ins and outs of social businesses, uncovering what it means, the value it brings, and what you should expect for the future.
WHITE PAPER:
This critical resource exposes the truth behind online predators using social networking sites to stalk intended victims without being detected by authorities. Click now to see how a correlation engine can help pinpoint these criminals before their next attack.
WHITE PAPER:
Are you sitting on your data with no plan? Do you know how to capitalize on information you already have? This whitepaper dives into the world of profiting from data. Access now to discover 4 essential steps to getting started, as well as challenges to overcome and a discussion on the importance of data integrity.
WHITE PAPER:
In this white paper, learn how data mining and statistical analysis can dramatically improve patient care and satisfaction without stretching your budget.
