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The machine data generated by the various components of an IT environment offer a
treasure trove of data regarding system operations and interactions, providing insight
into current needs, pending issues, or historical trends. As such, the ability to read and
identify patterns and anomalies in machine data can be used to detect security threats,
manage IT compliance, avoid events that result in downtime, or improve system
performance and IT resource deployment. For many organizations, the challenge is
that the complexity and heterogeneity of their environments results in ongoing
production of large volumes of disconnected data.
Blue Hill Research profiled six organizations’ investigation and
evaluation of centralized machine data management solutions
and ultimate selection of TIBCO LogLogic. Underlying investment
drivers largely related to the need for insight supporting a
variety of initiatives related to enterprise IT security, operational
performance, and compliance.
Whatever the individual objective, all organizations reported that
the volume and variety of machine data and logs generated by
multiple, disconnected systems presented a fundamental obstacle
to achieving their aims.
David Houlihan
ABOUT THE ANALYST
Principal Analyst
David Houlihan researches enterprise risk management, compliance and policy management, and legal
Technology. He is an experienced advisor in legal and technology fields with a unique understanding of
complex information environments and business legal needs.
@DWHoulihan www.linkedin.com/pub/david-houlihan/6/851/9a6
Phone: +1 (617) 624-3600
Contact Sales: sales@bluehillresearch.com
Contact Research: research@bluehillresearch.com
Thank You!
To join the conversation, follow us on:

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Choosing TIBCO LogLogic for Centralized Machine Data Management and IT Operational Intelligence

  • 1.
  • 2. The machine data generated by the various components of an IT environment offer a treasure trove of data regarding system operations and interactions, providing insight into current needs, pending issues, or historical trends. As such, the ability to read and identify patterns and anomalies in machine data can be used to detect security threats, manage IT compliance, avoid events that result in downtime, or improve system performance and IT resource deployment. For many organizations, the challenge is that the complexity and heterogeneity of their environments results in ongoing production of large volumes of disconnected data.
  • 3. Blue Hill Research profiled six organizations’ investigation and evaluation of centralized machine data management solutions and ultimate selection of TIBCO LogLogic. Underlying investment drivers largely related to the need for insight supporting a variety of initiatives related to enterprise IT security, operational performance, and compliance. Whatever the individual objective, all organizations reported that the volume and variety of machine data and logs generated by multiple, disconnected systems presented a fundamental obstacle to achieving their aims.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. David Houlihan ABOUT THE ANALYST Principal Analyst David Houlihan researches enterprise risk management, compliance and policy management, and legal Technology. He is an experienced advisor in legal and technology fields with a unique understanding of complex information environments and business legal needs. @DWHoulihan www.linkedin.com/pub/david-houlihan/6/851/9a6
  • 10. Phone: +1 (617) 624-3600 Contact Sales: sales@bluehillresearch.com Contact Research: research@bluehillresearch.com Thank You! To join the conversation, follow us on: