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File Classification – Taming the Wild Beast of Unstructured Data


It’s a jungle of electronically stored information that has proliferated far beyond the ability of manual data management.  In fact, this unstructured data has taken over 85 percent of today’s enterprise, however, that wild data holds invaluable and untapped information for today's corporation, including intellectual property, product expertise and knowledge stores.  But just like any wild animal, that same data also holds hidden dangers because of unseen regulatory violations, court case evidence, confidential employee information and trade secrets, representing a wide range of risks that must be tamed in order to protect the corporation.  In addition to the potential risks, these warehouses of information also offer the single largest opportunity for increasing revenue and reducing costs.  Tapping into the knowledge stored in these volumes can save money and introduce new revenue-generating opportunities while avoiding compliance violations and fines.

File Classification is critical to tame the wild beast of this massive amount of unstructured data.  It delivers on the business needs of eDiscovery, compliance and knowledge reuse while enabling the company to manage its physical storage to reduce escalating hardware costs and footprint requirements.  In this session you will learn how to leverage the Windows Server 2008 R2 File Classification Infrastructure (FCI) and DataGlobal Enterprise Resource Suite to deliver significantly enhanced file classification capabilities into an enterprise of any size in order to improve revenue, profitability and competitive advantage while reducing corporate risks and costs simultaneously.

You will also learn how to:

  • Take advantage of FCI in the workgroup and extend it to the enterprise
  • Tame unstructured data across the entire enterprise and multiple data centers
  • Apply metadata to each file and file type based on a defined set of rules
  • Locate files based on criteria that goes well beyond conventional metadata 
  • Identify the most valuable data for your company in order to tier storage appropriately
  • Create a strategic and executable compliance and eDiscovery plan  
  • Reclaim and consolidate storage silos within the enterprise
  • Be able to test and plan for storage capacity needs within the organization


Jürgen Obermann Chief Operating Officer, DataGlobal

Jürgen Obermann joined DataGlobal’s team in 2009 as chief operating officer where he is responsible for global sales and marketing. Prior to DataGlobal, he served as CEO at GFT Inboxx, the acknowledged leader of email archiving technology in EMEA. Working with some of the world’s leading blue chip companies, Obermann helped GFT Inboxx implement over 1,500 installations of its archiving solutions worldwide.

With over 20 years of experience in the IT sector, Obermann brings a wide breadth of global experience to DataGlobal including stints as director of marketing at Cisco, managing director of EMEA for Lucent and vice president of sales for Mirapoint.  His strengths include building successful start up organizations in different regions of the world, producing highly motivated direct, indirect or mixed sales organizations and developing go to market strategies, product positioning and corporate vision statements. 

He holds professional degrees in chemistry and information technology from
the University of Applied Sciences Mannheim and the Distance Teaching University Hagen, respectively.

Matthias Wollnik Sr. Program Manager, Microsoft

Matthias Wollnik is a program manager in Microsoft’s Storage Solutions Division. For the last two years, Matthias has been part of the team developing the Windows Server 2008 R2 File Classification Infrastructure to enable organizations to manage their files based on the data’s “Business Value” instead of its layout on disks.

Matthias has been working at Microsoft for 4 years as part of Windows and Windows Server. Before this Matthias worked on low level Operating System components and security problems.

Mar 30, 2010, 10:00 EDT (14:00 GMT)

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