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    • IIA's 2014 Analytics Predictions
      IIA's 2014 Analytics Predictions IIA Research Director Thomas H. Davenport, VP of Research Sarah Gates, and Lead Faculty Robert Morison, and Faculty Members Recorded: Dec 10 2013 11:50 pm UTC 58 mins
    • IIA’s 2014 Analytics Predictions Featuring IIA Research Director Thomas H. Davenport, VP of Research Sarah Gates, and Lead Faculty Robert Morison, and Faculty Members Bill Franks, Sanjeev Kumar, Greta Roberts and Omer Sohail Recorded on Dec 10, 2013

      This webinar features the nine Analytics Predictions for 2014, a recap of analytics trends from 2013 and discussion of the emergence of the Era of Analytics 3.0 and the Chief Analytics Officer.

      Presenter Information:

      Tom Davenport is co-founder and Research Director at IIA, the President’s Distinguished Professor of IT and Management at Babson College, and a research fellow at the MIT Center for Digital Business.
      Sarah Gates is VP of Research at IIA.
      Robert Morison is co-author of Analytics At Work: Smarter Decisions, Better Results (Harvard Business Press, 2010).
      Bill Franks is Chief Analytics Officer at Teradata Corporation.
      Sanjeev Kumar is the Analytics Product Manager for Dell’s Enterprise IT organization.
      Greta Roberts is the CEO of Talent Analytics, Corp.
      Omer Sohail leads Deloitte’s Analytics and Information Management practice for Financial Services in the U.S.

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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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    • 2016 Analytics Priorities and Predictions
      2016 Analytics Priorities and Predictions IIA Co-Founder Tom Davenport, IIA Research Director Dan Magestro and IIA Lead Faculty Member Robert Morison Recorded: Dec 10 2015 9:55 pm UTC 62 mins
    • The demand for analytics has never been greater, creating more opportunities but also more time constraints on analytics professionals. With rapid advances in technology and applied uses for analytics, knowing where to devote time, and what trends to pay attention to, has never been more important.

      With that in mind, the International Institute for Analytics has unveiled its list of analytics predictions and priorities for 2016. Each year, IIA shares its take on the upcoming year 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.

      Watch as best selling author and IIA Co-Founder Tom Davenport, IIA Research Director Dan Magestro and IIA Lead Faculty Member Robert Morison unveil and discuss the major trends for analytics leaders to stay ahead of in 2016. 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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    • Developing a Culture for Analytics Success
      Developing a Culture for Analytics Success Gerhard Pilcher and Jeff Deal of Elder Research and Bill Franks, CAO of IIA Upcoming: Jun 8 2017 4:00 pm UTC 60 mins
    • This webinar provides practical wisdom on the organizational and technical keys for achieving high return on investment in analytics. One of the strongest indicators of future analytics success is to develop a work culture that supports and nurtures analytics. This webinar describes the best ways to build an effective analytics culture and institutionalize analytics-based decision making.

      The speakers will describe how to get started, choose the right project, build a team, select the right tools, obtain stakeholder buy-in, and achieve other vital organizational goals.

      The different levels of analytics are reviewed and key terminology are defined, enabling clear understanding and effective communication of technical goals within an organization.

      Real world business examples from multiple industries illustrate how leading organizations employ analytic solutions to transform data into insight, make more informed decisions, and improve business value.

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    • Sensor Data that Makes Sense
      Sensor Data that Makes Sense Jack Phillips, IIA; Dan Graham, Teradata Recorded: Nov 17 2014 9:20 pm UTC 58 mins
    • The Internet of Things (IoT) will soon usurp mobile phones as the predominate source of data. Sensor data from everyday devices will be collected, aggregated and analyzed to understand trends and behaviors at macro and micro levels. For businesses, it’s the collection and use of this data that is allowing them to reduce costs, improve services and inspire new innovations.

      In this presentation, featuring IIA CEO Jack Phillips and Dan Graham, the Director of Technical Marketing at Teradata, we define the Internet of Things and give examples of common sensor data. We then explore various use cases that are possible for government, manufacturing, retail, and other industries. It ends with real-world examples of how sensor data is being analyzed to drive value across different businesses.

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