Prescribing the Right Decisions with Prescriptive Analytics
Automation of everyday activities holds the promise of consistency, accuracy and relevancy. When applied to business operations, the additional benefits of governance, adaptability and risk avoidance are realized. Prescriptive analytics empowers both systems and front-line workers to take the desired company action – each and every time. And with data streaming from transactional systems, from IoT, and any other source – doing the right thing with exceptional processing speed embodies the responsive necessity that customers depend on.
This talk will describe how to enable prescriptive analytics – in current business environments and in the emerging IoT.
RecordedJun 23 201658 mins
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Joe DeCosmo, CAO Enova International and Bill Franks, CAO IIA
Automating the decision-making process and being able to activate machine learning and predictive models into business processes and decision models are key to gaining operational efficiency and digital transformation.
In this webinar, we will explore how analytics-as-a-service and real-time digital decisioning methods and platforms provide lower-cost, more efficient solutions. Expert Joe DeCosmo, CAO at Enova International and Enova Decisions, will explain how businesses can utilize these solutions to vastly improve operational decision-making capabilities and create measurable results.
Bob Morison, IIA Research Advisor and Jack Phillips, CEO IIA
One of the continual challenges for analytics leaders is measuring the work of their analytics groups and communicating the results to business leaders. Sound measurement and transparency form the foundation for strong working relationships, adequate funding of analytics, and trust in the analytics organization.
Join IIA Lead Faculty Member, Bob Morison as he shares highlights of recent market research on analytics metrics. He'll share best practices in the four key domains of analytics measurement: Intent, Performance, Results, and Health.
Tom Davenport, IIA Co-Founder and Analytics Thought Leader, Bill Franks, IIA CAO, and Bob Morison, IIA Lead Faculty
The International Institute for Analytics will unveil its annual list of top predictions and priorities on December 7. 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.
Join IIA Co-Founder Tom Davenport, IIA CAO Bill Franks, and IIA Lead Faculty Bob Morison as they discuss the major trends and pressing priorities analytics professionals should pay attention to in 2018. Don't miss this compelling hour of insights to learn where to focus your time, attention and resources in the coming year.
Jack Phillips, CEO of IIA and Rob Romano, VP, Digital Strategy, NGDATA
Learn how top performers are winning with analytics in the Age of the Customer.
Financial Services companies are among the market leaders when it comes to analytics performance. How does your business rate?
Join this webinar to hear how brands stack up in their analytics maturity, where you fit in, and how your institution can measure its performance and improve to stay ahead of the competition.
You’ll hear how Belfius Bank was able to put their analytics into action to improve customer profitability with their “mobile-first” strategy and app, and discover the technologies needed to be a customer experience leader in the Age of the Customer.
Tom Davenport, Thought Leader and Co-Founder of IIA and Nick Jewell, Ph.D., Lead Technology Evangelist at Alteryx
Ready to boost your ROI on analytics? Did you know that 80-percent more analytics projects meet or exceed forecasted ROI when they’re aligned with business strategy? What’s your game plan to point your analytics projects where your company or department is headed?
Register for the webinar “Strategies to Overcoming Analytic Obstacles,” and hear from analytics expert, Tom Davenport, at the International Institute for Analytics to learn:
* Four typical issues that risk analytics value
* Proven strategies to boost success
* Prescriptive game plans to drive alignment
While many organizations are keen on becoming data-driven, most focus on only a small fraction of the many types of available data. Not accessing and analyzing a fuller spectrum of data, including those from “dark data”—emails, texts, images, photos, videos, and other documents—along with traditional data sources can limit an organization’s ability to gain a complete picture of their customers and operations, and exclude them from game-changing insights that improve business outcomes. Join Tho Nguyen of Teradata and industry analyst James Taylor of Decision Management Solutions to learn about dark data and the new technologies that make it worth storing and analyzing to become a data-driven organization.
Join Tom Davenport and Jeanne Harris, analytics thought leaders and co-authors of the seminal book Competing on Analytics for a fireside chat where they’ll share key themes from the 10th anniversary edition of their book, Competing on Analytics, coming out in September.
The discussion will focus on examples of companies that have successfully reinvented themselves and are thriving in today’s data economy and discuss what you can do to better compete. The discussion will also dive into what's changed in the 10 years since the book came out, what's still largely the same, and what the most critical factors to analytics success are in today's environment.
Don’t miss this fascinating discussion about Reinvention in the Age of Analytics with Tom and Jeanne.
Join us Thursday, September 21st at 9am PT / 12pm ET.
With the proliferation of analytics expanding across every function of the enterprise, the need for broader access to data, experienced data scientists and intuitive tools for non-technical users to produce reports and make discovery is growing exponentially.
To meet this growing demand, organizations need to invest in the tools, build processes and enable users to be self-sufficient to avoid bottlenecks while at the same time maintaining the governance and data security standards required to safeguard this critical corporate asset.
This webinar will illustrate how organizations are solving these challenges and enabling users to both access larger quantities of existing data as well as add new data to their own models without negatively impacting the quality, security or cost to store that data. It will also highlight some of the cost and performance benefits achieved by enabling self-service data management.
Gwen O'Keefe, MD Principal of GO Healthcare Strategy
In this webinar, Healthcare Analytics Expert, Dr. Gwen O'Keefe will explore analytics capabilities that have transformed other industries, like healthcare, and how they can be applied to yours. She'll outline the key steps for success and adoption of predictive analytics projects and share how to advance the use of predictive analytics and machine learning to improve all aspects of your business.
Focus today is shifting from simply capturing big data and discovering new insights with it to operationalizing those insights. The industrial revolution took manufacturing processes from an artisanal practice to a modern technological marvel that is able to manufacture quality items at massive scale. The same type of revolution must happen with analytics and big data. Based on the popular book "The Analytics Revolution", this webinar will address technological, organizational, and cultural points that must be considered to succeed in making big data actionable and operational.
Corruption dates back to the start of business but has come under greater focus in the last decade with enhanced enforcement of the Foreign Corrupt Practices Act. What has changed over time are the tools and more precisely, analytics, which can be used to detect bribery and other corruption schemes.
In this webinar, Fraud Analytics expert, Rich Lanza will explore this important topic and provide a roadmap for taking an analytic approach to root out organizational corruption.
• The top internal and external data sources to interrogate for corruption schemes
• How to identify the key red flags leading to corrupt behavior and how they present themselves in data
• The best ways to bolster any compliance program with data-driven prediction and decision making analytics
• The steps to complete a who, what, when, and where set of analytics to hone in on the specific corruption and bribery within your business processes
• The benefits of integrating and managing a continuous review of data sets to identify corrupt behavior
Join us Thursday, June 22 at 12pm EDT/9am PDT and learn how best to apply analytics to detect corruption and safeguard your organization.
Gerhard Pilcher and Jeff Deal of Elder Research and Bill Franks, CAO of IIA
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.
Imad Birouty and Brian Wood, Directors at Teradata and Jack Phillips, CEO of IIA
The worlds of cloud computing and on-premises computing continue to grow and mature in their own ways. Cloud has built a strong reputation for flexibility and elastic scale while on-premises systems remain the mainstay for high-performance and secure business-critical computing.
The days of "either/or" are gone. Companies today must learn to be successful with a hybrid environment comprised of on-premises and cloud systems. Companies do not need to cross the chasm, but to bridge the chasm to innovate, grow and gain competitive advantage.
Join this webinar to hear from Imad Birouty, Director of Product Marketing at Teradata, who will discuss how companies are leveraging Hybrid Cloud to build an analytics everywhere mentality.
Gourab De, VP of Data Science Practice at DataRobot and Marc Demarest, IIA
In this webinar, Gourab De, VP of Data Science Practice at DataRobot, will take us through the important building blocks of Automated Machine Learning. He will highlight the current gaps in the Analytics Organization, how to close those gaps using automated machine learning and provide a live demo of the DataRobot platform and how it’s being applied in different industries.
Leigh Helsel, Vice President Retail Strategies, ICC and Lee Hong, Data Scientist, ICC
In a retail setting, a floor set is not only a way to showcase the brand, but also provides customers with a summarized view of the product landscape as seen in the retailer’s mind.
Applying graph-based analytics allows the detection of historical product affinities and identification of groups of strongly connected products that can help form a highly productive floor set.
In this webinar, we will take a look at a method of analyzing customer purchase histories using graph-based analytics. We will provide an overview of storing data as graphs and demonstrate how affinities among products can be detected to make decisions on which products are best displayed together.
Join us to learn how to optimize retail floor sets with graph-based analytics and avoid unnecessary reactive movement of product.
Jack Phillips, CEO of International Institute for Analytics and Dr. Graham Hughes, CEO of Sutherland Healthcare Solutions
The digital era is disrupting every industry and healthcare is no exception. Emerging technologies will introduce challenges and opportunities to transform operations and raise the bar of consumer experience. Success in this new era requires a new way of thinking, new skills, and new technologies to help your organization embrace digital health. In this webinar, we’ll demonstrate how to measure your organization's analytics maturity and design a strategy to digital transformation.
This webinar will discuss the requirements to transform your business operations and show you how an organization's analytics maturity can be measured and used to create a competitive advantage.
Join us to gain insight on the digital trends transforming healthcare and learn how to:
•Leverage transformational design thinking methodologies to discover new opportunities, optimize existing operations, and improve experiences.
•Measure and compare their organization's analytics maturity.
•Develop a strategy for leveraging analytics and design thinking as a competitive differentiator
James Taylor, IIA Expert in Decision Management Systems
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.
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.
Joe Decosmo, CAO at Enova International and Marc Demarest, IIA analytics expert
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.
The Authority on Analytics Performance and Best Practices
This webinar series highlights important concepts, techniques and strategies in the world of big data and business analytics. We tap into our unbiased network of analytics practitioners and thought-leaders to tackle real issues at the intersection of business and analytics.