Interactive Virtual Event, 21 Sept: H...

Interactive Virtual Event, 21 Sept: How to avoid “drowning in data”

Posted in the Informatica Forum


Okehampton, UK

#1 Sep 14, 2011
Join Steve Kovsky from InformationWeek, Madan Sheina from Ovum and Girish Pancha from Informatica for an Interactive Virtual Event on Wednesday 21 September to learn more about: How to avoid “drowning in data”– new strategies to reign in IT costs, optimise enterprise applications, and re-acquire operational ROI.
Please use this link to register or find out more about this InformationWeek Interactive Virtual Event:

Okehampton, UK

#2 Sep 14, 2011
According to a new Ovum survey of large enterprises from around world – it is alarmingly common for IT organisations to feel that their applications are being weighed down by large volumes of data. This slows application performance, increases costs, and hinders the overall efficiency of the business. Put simply, these organisations are drowning in their own data.

Madan Sheina from Ovum and Girish Pancha from Informatica will explore the root causes of these problems and discuss a clear course of action that will transform application environments and unleash the power of new data sources. The data-centric approach will streamline operations, liberate valuable IT resources, deliver more reliable data to the business, and ultimately transform applications and drive innovation.

This lively interactive debate will be moderated by Steve Kovsky from InformationWeek. You will be able chat online, engage with social networks, download supporting documents, pose questions, and learn how to:

• Adopt best practices for Application Rationalisation
• Minimise the risk, and reduce the cost and complexity of integrating applications
• Optimise applications to support business agility
• Ensure the business realises the true value of their applications
• Move beyond merely sustaining applications to driving business innovation
• Transform the business by unleashing the power of new data sources
• Modernise business processes with trusted data

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