Informatica Day – London 2014

Empowering business in a data-centric world

30 September 2014 from 9am to 6pm

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Informatica Day – London is a full day event that brings together the Data Community’s brightest minds to push the boundaries of current thinking and discuss the role of data in the real-time digital enterprise of the future.

The agenda features the most popular sessions from the recent Informatica World event held in Las Vegas – with keynote presentations from IDC’s Research Director, Philip Carnelley and Informatica’s Executive Vice President & CMO Marge Breya.

Discover more about Informatica’s vision for the new data-centric world, and discuss innovations that will take the concept of a data platform to an entirely new level. You’ll learn:

• How the Intelligent Data Platform unleashes a new level of data-driven business potential by making data self-organising, secure, trusted and more easily consumed by people, applications, devices and things.

• How the Project Springbok data harmonisation solution empowers non-technical users to find, assemble, combine, improve and share data sets – resulting in clean, safe and connected data that is decision-quality.

• How Secure@Source™ is a fundamentally new way of looking at security – with the data-centric approach giving companies the ability to discover, protect, and detect sensitive data across the enterprise.

• How Informatica MDM 10 makes it even easier for business users to gain a 360 degree view of critical business entities including customers, suppliers, products and assets.

4 speakers

  • Philip Carnelley @Pcarnelley Research Director for IDC’s European Software Group
  • Steve Morrow Vice President of Sales for UK and Ireland at Informatica
  • Marge Breya @margebreya Executive Vice President and Chief Marketing Officer – Informatica

15 sessions

7 known attendees

  • Informatica Useful Resources Group
  • Taj
  • Balvinder Singh Phull
  • Thura Z. Maung
  • Philip Carnelley
  • Marge Breya
  • Greg Hanson

6 people tracking this event

  • david potocnik
  • Florian Rathgeber
  • Kathleen Barnes
  • Quievreux
  • john dunn
  • Irina Radchenko

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Related books

  • Big Data: Does Size Matter?
  • Data Science at the Command Line
  • Bootstrapping Machine Learning
  • Big Data: Understanding How Data Powers Big Business
  • The Big Data Revolution
  • Spring Data

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