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    • The Analytics Project Lifecycle: Charting the Full Path to Realized Value
      The Analytics Project Lifecycle: Charting the Full Path to Realized Value Dan Magestro, IIA VP and Research Director Recorded: Jan 26 2017 5:00 pm UTC 59 mins
    • Analytics projects and initiatives struggle for a wide variety of reasons that cross every aspect of the analytics function, including: business alignment and understanding, data and technology, resource planning and utilization, and budgetary considerations.

      In this webinar, IIA Research Director Dan Magestro will share the Analytics Project Lifecycle framework for successfully guiding an analytics project or initiative through its various stages, from initial identification of the business problem to the business action and recognition of the value generated by the work. The framework can be utilized in any situation where analytics is applied to support business needs and processes.

      Join us on January 26th to review the eight stages of the Analytics Project Lifecycle and increase the organizational effectiveness of analytics by formalizing the planning phase, optimizing project execution and decision making, and driving toward successful implementation.

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    • Bringing Clarity to Analytics Projects with Decision Modeling: A Case Study
      Bringing Clarity to Analytics Projects with Decision Modeling: A Case Study James Taylor, IIA Expert in Decision Management Systems Recorded: Feb 2 2017 5:00 pm UTC 57 mins
    • To succeed, an analytics or data science team must effectively engage with business experts who are often inexperienced with advanced analytics, machine learning and data science. They need a framework for connecting business problems to possible analytics solutions. Decision modeling brings clarity to analytics projects, linking analytics solutions to business problems to deliver value.
       
      In this webinar, IIA Expert James Taylor shares four key lessons learned by the central analytics team at a global leader in information technology. These lessons underscore that decision modeling builds a shared understanding with their business clients, revives projects that have lost their purpose, brings clarity to problems long thought difficult and delivers value quickly. The webinar will also introduce the basics of decision modeling and provide practical recommendations for adoption. A Leading Practice Brief based on this case study will be available for all registrants.
       
      Ensuring analytics projects have clarity of purpose is critical to delivering business value. Learn how decision modeling helps a leading organization bring focus to its data science and analytic investments.

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    • Aligning Analytics to Business Strategy: Three Paths to Success
      Aligning Analytics to Business Strategy: Three Paths to Success IIA Research Director, Dan Magestro, PhD and moderated by Client Success Manager, Allison Park. Recorded: Nov 17 2016 5:00 pm UTC 60 mins
    • One of the most pressing issues facing analytics programs in every industry is the frequent disconnect between analytics activities and the business’s stated strategic priorities. This disconnect has many causes, including the lack of visibility into high-level priorities, inability to translate strategic needs into analytics projects, and the historical lack of analytics in the strategy development process itself.

      Based on best practices gleaned from dozens of companies, IIA Research Director, Dan Magestro will share three paths to success with practical recommendations for how to align analytics activities to a business’s strategic objectives, including the formation of oversight committees, more effective project prioritization, alignment of senior business leadership, and demonstrated benefits of incorporating analytics into the strategic planning process.

      When it comes to aligning analytics to business strategy, one size does NOT fit all. Join us to learn the best path to success for your organization.

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    • Seeking Agility: Using Analytics-as-a-Service to Develop Competitive Advantage
      Seeking Agility: Using Analytics-as-a-Service to Develop Competitive Advantage Joe Decosmo, CAO at Enova International and Marc Demarest, IIA analytics expert Recorded: Jan 19 2017 5:00 pm UTC 58 mins
    • Agility — doing things fast, and iteratively — is the key to success in turbulent markets. Analytics-as-a-Service partnerships can facilitate agile analytics allowing you to develop and iterate algorithms and models faster, and more effectively, than is possible when you are responsible for deploying and managing your own advanced analytics infrastructure.

      This webinar will explore the emergence of analytics as a service (AaaS), and the use of AaaS providers to avoid the time, cost and risk associated with deploying cutting-edge advanced analytics infrastructure. You’ll hear about the emergence of AaaS, the profile of companies exploiting AaaS providers, and the criteria you should use when evaluating AaaS providers, as well as the economic and time-to-market benefits of leveraging Analytics-as-a-Service partnerships to improve your advanced analytics capabilities and leapfrog your competition.

      Join us to learn how Analytics-as-a-Service can help develop competitive advantage and increase agility in the ever-evolving marketplace.

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    • The Industrial Internet of Things: Rise of the Machines
      The Industrial Internet of Things: Rise of the Machines IoT expert, Bill Roberts and IIA Research Director, Dan Magestro Recorded: Sep 22 2016 4:00 pm UTC 61 mins
    • Presented by IoT expert, Bill Roberts, this webinar explores how the Industrial Internet of Things (IIoT) is having a dramatic impact on how manufacturers and service providers operate. From the factory floor to a distributed energy generation facility to anywhere a critical piece of equipment operates, machine data holds enormous potential to drive high levels of operational efficiency and unlock new service innovations.  This blending of operational technologies (OT) with Information Technology (IT) has created challenges with the data, the analytics lifecycle and a deep thinking into the roles of personnel.  A robust IoT analytics lifecycle can play a critical role in helping organizations separate the relevant signals from the noise in IIoT data, gain real time critical insights, and drive appropriate, timely action to realize the promised value of IIoT.  This session will explore these topics and offer insights on pursuing a successful industrial IoT strategy that leverages a robust analytics lifecycle.

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    • IIA's 2017 Analytics Predictions & Priorities
      IIA's 2017 Analytics Predictions & Priorities Tom Davenport, Dan Magestro and Bob Morison Recorded: Dec 15 2016 5:00 pm UTC 57 mins
    • As business analytics continues to gain momentum and increase its impact on organizations, the challenges facing analytics leaders continue to evolve. While the need to establish credibility and build new data analytics teams dominated agendas just a few years ago, many organizations now focus on expanding capacity, operating more efficiently and measuring the return on analytics investment. With continuous, rapid advances in technology and automation, knowing which trends to pay attention to is more important than ever.
       
      With that in mind, the International Institute for Analytics will unveil its annual list of top predictions and priorities on December 15. Each year, IIA shares its perspective on the year ahead in the world of analytics, presenting viewpoints from leading analytics practitioners, executives and thought leaders. This year IIA has gathered feedback from more than 200 analytics executives and our broad network of unbiased analytics experts.
       
      Don't miss this compelling hour of insights to learn where to focus your time, attention and resources in the coming year.

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    • Tightening the Reins on Credit Risk Modeling
      Tightening the Reins on Credit Risk Modeling Laurent Birade and John Voigt of SAS and Dan Magestro, IIA Research Director Recorded: Aug 25 2016 4:00 pm UTC 55 mins
    • Many financial institutions recognize that they still do not have sufficient data management, infrastructure, or staffing in place to address all the issues brought about by the myriad of risk regulations. While larger banks continue to struggle with the qualitative aspects of supervisory stress testing and capital planning, IFRS 9 and the new CECL accounting standard will demand greater interconnection of Finance and Risk, more complex modeling, and increased public disclosure. Heightened expectations of strong model risk management and governance further strain organizations.

      To address these challenges, institutions are reexamining existing processes with a goal to establish a more efficient and controlled modeling environment—including model implementation and lifecycle management, orchestration, and governance. How can financial institutions ensure they have the foundational building blocks in place to meet these increasing demands?

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    • Secrets of Deep/Dark Web
      Secrets of Deep/Dark Web Richard Cozart Recorded: Jan 25 2017 5:00 pm UTC 52 mins
    • You may have heard the terms Deep and Dark web, but do you understand what they mean? There is a lot of confusion over these terms, this webinar will help give you a good understanding of the different layers of the world wide web.

      Richard Cozart, Technology administrator for IIA Detroit Chapter and Senior Security Architect at Securely Yours LLC will explain the secrets of deep dark web. He will clarify the terminology and will provide information on how to access it and what is generally available within the deep dark web.

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    • Evolution of Traditional Investigations and Modern Forensics
      Evolution of Traditional Investigations and Modern Forensics Bill Hickman, COO of CSI Corporate Security and Investigations Inc. and Peter L. Mansmann, president of Precise, Inc., a lit Recorded: Feb 16 2017 5:00 pm UTC 57 mins
    • The use of web enabled devices has profoundly changed the world we live in. The average American now spends upwards of 10 hours per day in front of some form of electronic medium. More and more, the smart phone is becoming the device of choice to communicate, get news/information, and share social information on a real time basis. This is how people navigate through today's world and has had a significant behavioral impact as a result.

      Internal Auditors can benefit greatly from understanding how to best integrate this new wealth of information in their audits and investigations. The future of both audits and investigations will need to rely more on technology but cannot neglect the impact and role of the “human element”. Points of particular interest include:
      •social media searches to identify where someone has been and plans to be,
      •location enabled services identifying where someone's phone (and presumably they) have been,
      •devices and apps measuring and sharing individual’s mobility and activity,
      •the trend towards this data going directly to the public cloud, and
      •the emergence of the "internet of things".

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    • Ethical Leadership: How Internal Audit Can Influence the Tone at the Top
      Ethical Leadership: How Internal Audit Can Influence the Tone at the Top Don Levonius Recorded: Nov 18 2014 4:30 pm UTC 120 mins
    • According to IIA guidance, internal auditors are charged with monitoring organizational ethics and assessing whether management policies, procedures, and practices support ethical operations. And while management usually seeks to set, promote, and perpetuate an ethical climate, some leaders seem either motivated by self-interest or so focused on other operational priorities that they overlook their obligation to steward organizational ethics.

      What can internal audit do to articulate this risk of unethical behavior? How can internal audit influence the tone at the top? How can internal auditors persuade management to see the value proposition for ethical leadership? This webinar addresses these questions and equips auditors, audit directors, and CAEs to make a compelling argument as to how ethical leadership drives bottom-line results.

      By the end of this webinar, participants should be able to:

      -Compare contrasting views of behavioral ethics
      -Differentiate between moral and conditioned honesty
      -Examine rationalizations commonly indicative of moral disengagement
      -Explain why ethical stewardship is a primary leadership responsibility
      -Correlate ethical leadership to organizational results
      -Formulate a compelling argument in favor of an ethical tone at the top

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