Creating and Evaluating Retail Floor Sets with Graph-Based Analytics

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.

A Fireside Chat with IIA's new CAO, Bill Franks and IIA Co-Founder and Advisor Tom Davenport. Learn 5 keys to success for newly minted and experienced analytics leaders alike.

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.

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.

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.

When it comes to using data and analytics to drive business results, where does the retail industry stand relative to other industries? And more importantly, where does your company stand against a retail industry index? In this webinar, IIA CEO Jack Phillips will reveal IIA’s retail industry analytics maturity index, and describe the characteristics of the highest-performers. Retail Analytics expert, Scott Friesen will provide additional insights from his experience on the front lines at Ulta Beauty and Best Buy. “Competing on analytics” is no longer a mystery - join us to learn how your company can get with the program.

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.

A new set of international reporting standards (IFRS 9) goes into effect for Canadian financial services institutions late next year. With those standards come new complexities and risks, new data and analytics requirements, and new business opportunities for banks that can get ahead of the curve by modernizing their accounting and risk management platforms and putting those platforms to innovative use.

This webinar will explore the challenges and opportunities related to IFRS 9 and provide insights into how financial services institutions can optimize for both.

As the adoption of a variety of analytics continues to grow across all industries, so does the focus on attaining a data-driven competitive advantage. A key requirement for becoming analytically competitive is that companies of all types, whether they are long-standing corporations or emerging startups, must invest in their analytics talent. With the ongoing talent shortage in analytics and the challenges of attracting the right talent, a strategic approach is necessary when recruiting and retaining analytics professionals.

In this webinar, Burtch Works analytics talent experts, Linda Burtch and Katie Prezas will provide actionable guidance for hiring managers and analytics leaders looking to strengthen and grow their analytics teams.

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.

Presented by Kristian Hammond, IIA Faculty Member and Chief Scientist of Narrative Science, this webinar will walk you through the artificial intelligence ecosystem and outline the different subfields of technologies that fall under the umbrella of AI such as machine learning, advanced analytics, and advanced natural language generation.

In this webinar, Kris will also walk through the use of AI in organizations today, the associated capabilities and practical business applications. The presentation will be followed by an interactive Q&A lead by the IIA Vice President of Research, Dan Magestro, with input from attendees.

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?

With the proliferation of analytics expanding across every function of the enterprise, the need for broader access to data by experienced data scientists and non-technical users to produce reports and make discovery is growing exponentially.

The unintended consequences of this trend is a bottleneck within IT to deliver the necessary data while still maintaining the governance and data security standards required to safeguard this critical corporate asset.

This presentation will illustrate how organizations are solving this challenge 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.

In the not-so-distant future, smart machines will be able to learn, predict and make decisions with greater speed and accuracy than the human mind. As artificial intelligence and cognitive systems become more mainstream, they hold the potential to dramatically augment how people and businesses function, with significant implications for workers and organizations.

In this webinar, IIA Co-Founder Tom Davenport will discuss his new book, "Only Humans Need Apply: Winners and Losers in the Age of Smart Machines" and explain how advances in analytics have set the stage for this coming transformation. He'll also examine what happens to the workforce when machines start taking on work traditionally done by people.