The Authority on Analytics Maturity 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.
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.
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.
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.
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.
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.
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
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.