Convercent Predictive Analytics: Innovation in User Experience for Issue Reporting & Management

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Compliance programs have been very tactical in the past in managing requirements, putting processes in place, communicating policies, conducting training, reporting and investigating incidents, and more. What compliance programs have often lacked is overall reporting and analytics that move compliance from the tactical approach to the strategic approach. Convercent’s Predictive Analytics is a GRC solution that GRC 20/20 has researched, evaluated, and reviewed with organizations that are using it in changing, distributed, and dynamic business environments. GRC 20/20 has evaluated and verified the innovation in Predictive Analytics and finds it to be a compelling compliance data analytics and reporting platform that delivers actionable insight and intelligence into compliance issues and trends enabling 360° contextual awareness of compliance. In this context, GRC 20/20 has recognized Convercent’s Predictive Analytics with a 2015 GRC Innovation Award for the best user experience in Issue Reporting & Management in 2015.

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Description

Convercent Predictive Analytics

Innovation in User Experience for Issue Reporting & Management

Compliance programs have been very tactical in the past in managing requirements, putting processes in place, communicating policies, conducting training, reporting and investigating incidents, and more. What compliance programs have often lacked is overall reporting and analytics that move compliance from the tactical approach to the strategic approach. Convercent’s Predictive Analytics is a GRC solution that GRC 20/20 has researched, evaluated, and reviewed with organizations that are using it in changing, distributed, and dynamic business environments. GRC 20/20 has evaluated and verified the innovation in Predictive Analytics and finds it to be a compelling compliance data analytics and reporting platform that delivers actionable insight and intelligence into compliance issues and trends enabling 360° contextual awareness of compliance. In this context, GRC 20/20 has recognized Convercent’s Predictive Analytics with a 2015 GRC Innovation Award for the best user experience in Issue Reporting & Management in 2015.

  1. The Need for 360° Contextual Awareness of Compliance
    • Compliance & Ethics in the Past
    • Compliance Today
  2. Convercent Predictive Analytics
    • Innovation in User Experience for Issue Reporting & Management
    • What the Predictive Analytics Innovation Is About
    • How Is the Predictive Analytics Innovation Different?
    • Benefits of the Predictive Analytics
    • Considerations in Context of Predictive Analytics
  3. About GRC 20/20 Research, LLC
  4. Research Methodology

rasmussenMichael Rasmussen – The GRC Pundit @ GRC 20/20 Research, Michael Rasmussen is an internationally recognized pundit on governance, risk management, and compliance (GRC) – with specific expertise on the topics of GRC strategy, process, information, and technology architectures and solutions. With 23+ years of experience, Michael helps organizations improve GRC processes, design and implement GRC architectures, and select solutions that are effective, efficient, and agile. He is a sought-after keynote speaker, author, and advisor and is noted as the “Father of GRC” — being the first to define and model the GRC market in February 2002 while at Forrester Research, Inc.


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No part of this publication may be reproduced, adapted, stored in a retrieval system or transmitted in any form by any means, electronic, mechanical, photocopying, recording or otherwise, without the prior permission of GRC 20/20 Research, LLC. If you are authorized to access this publication, your use of it is subject to the Usage Guidelines established in client contract. The information contained in this publication is believed to be accurate and has been obtained from sources believed to be reliable but cannot be guaranteed and is subject to change. GRC 20/20 accepts no liability whatever for actions taken based on information that may subsequently prove to be incorrect or errors in analysis. This research contains opinions of GRC 20/20 analysts and should not be construed as statements of fact.  GRC 20/20 disclaims all warranties as to the accuracy, completeness or adequacy of such information and shall have no liability for errors, omissions or inadequacies in such information.  Although GRC 20/20 may include a discussion of related legal issues, GRC 20/20 does not provide legal advice or services and its research should not be construed or used as such.

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