AUGUST 11
DAY ONE

09:00 AM - 10:00 AM

Welcome / State of Business Intelligence

Dresner Team
During this session, we'll explore the drivers of business intelligence and changes since last year - including the impact of Covid-19
10:00 AM - 10:20 AM

Break / Expo

10:20 AM - 11:20 AM

Explorations of Khipu Accounting in the Inca Empire

Professor Gary Urton
The world of “business” most of us live in today takes the form of statistical data and logistical information pertaining to production, wealth, consumption, and other such matters in written form (whether in hard copy or digitized), organized in tabular formats populated by numbers. The latter take the form of numerals invented centuries ago in the Hindu-Arabic mathematical tradition that were first adopted in the West by early mercantile capitalists, especially those of the city-states of northern Italy. This data-recording and analytical tradition began in western Europe from around the beginning of the Renaissance. This presentation takes us far from the Western world, but still during the time of the European Renaissance, to a world yet to be discovered by Westerners of the time – the Inka empire of pre-Columbian South America. The Inka recorded data pertaining to administrative matters on a knotted-string device, known as the khipu (or quipu). Most such records pertained to imperial statistics, especially those concerning such matters as censuses, tribute records, goods stored in state storehouses, and so on. This was a tradition of data, statistics and analytics that was completely alien to Europeans at the time of their first encounter with the Inkas, in the early 16th century C.E. – as well as to most of us today. This presentation will challenge us to consider an alternative tradition of synthesizing and recording information which, it is suggested, offers unique insights into data, analytics, and the nature of “business intelligence.”
11:20 AM - 11:40 AM

Break / Expo

11:40 AM - 12:40 PM

Forecasting 2.0 New Ways to See Around Corners

Dr. Kirk Borne
This session begins with Dr. Borne's view of the disciplines and practices of data science and advanced analytics. Predictive analytics is one dimension of advanced analytics that brings significant value to business through the organization's data. He will then discuss some novel approaches to predictive analytics that are different from standard time series forecasting. These methods are appropriate in the big data era in which data sources and data formats extend far beyond traditional time series. These predictive analytics approaches also enable opportunities for prescriptive analytics, which go beyond traditional methods of optimization (and Operations Research) through the application of data from diverse sensors. Several examples and algorithmic approaches will be presented to illustrate the Forecasting 2.0 concept.
12:40 PM - 01:15 PM

Break / Expo

01:15 PM - 02:00 PM

Roundtable Sessions

Multiple themed round table discussions. Topics to be announced
02:00 PM - 02:20 PM

Break / Expo

02:20 PM - 03:20 PM

Understanding emotional needs and experiential desires of consumers through data analytics 

Gebhard Rainer
In the hospitality industry and to a degree also in retail, Millennials and the generations after them have a very different value perception and motivation to purchase. Growing up in a “shared economy” is fundamentally different to the Baby boomer generation, which was focused on acquiring tangible assets, building a foundation for a family and a desire to create a platform for a better life for their children. Today, because of the fact that technology has become an ever-present part of our life, new generations “live” through their mobile devices, the craving for social contact, for emotional experiences, for an alignment with personal values and for unique personal experiences is exponentially growing. How do we analyze and use data in order to understand the needs and desires of new consumers, without being invasive but at the same time providing personal and tailored information and services. This presentation intents to highlight some of the challenges and opportunities ahead of us, presented by new generations of consumers with very different desires and aspirations, an increasing automation of processes and the need for human interaction coupled with strong data analysis capabilities.
03:20 PM - 04:20 PM

Virtual Reception / Expo

 

AUGUST 12
DAY TWO

09:00 AM - 09:10 AM

Welcome Back / Day 1 Recap

Howard Dresner
09:10 AM - 10:10 AM

Building and Scaling the Culture You Need to Exceed the Results You Want

Jay Steven Levin
Successful data cultures understand the specific set of behavioral characteristics required to insure buy-in, engagement and commitment from C-level down to managers and front-line contributors. Tethering strategy to right actions requires alignment with appropriate behaviors and driving force motivators of all involved.Self-aware leaders understand behavior is information and that results are achieved and surpassed by managing behaviors not target numbers.
10:10 AM - 10:30 AM

Break / Expo

10:30 AM - 11:30 AM

What You Design is Not What People See: The Power and Danger of Data Visualization

Professor Alberto Cairo
We’ve all heard that a picture is worth a thousand words, but what if we don’t understand what we’re looking at?Charts, infographics, and diagrams are ubiquitous. They are useful because they can reveal patterns and trends hidden behind the numbers we encounter in our lives. Good charts make us smarter—if we know how to read them.However, they can also deceive us. Charts lie in a variety of ways—displaying incomplete or inaccurate data, suggesting misleading patterns, and concealing uncertainty— or are frequently misunderstood. Many of us are ill-equipped to interpret the visuals that politicians, journalists, advertisers, and even our employers present each day. We need to learn to not only spot the lies in deceptive visuals, but also to take advantage of good ones.
11:30 AM - 12:05 PM

Break / Expo

12:05 PM - 12:50 PM

Roundtable Sessions

Multiple themed round table discussions. Topics to be announced
12:50 PM - 01:10 PM

Break / Expo

01:10 PM - 02:10 PM

STELLAR Analytics for Business Success

Dr. Kirk Borne
Dr. Borne will discuss major challenges and myths that impede the implementation of successful data analytics in organizations, and then present solutions and strategic responses to those. Myths and challenges include the 3 F's: Fragility, Fear, and Friction. Winning strategies to address those include: (1) Agility (Fail fast to Learn fast with DataOps); (2) Adopting a Culture of Experimentation and Innovation; and (3) an Analytics-First mission that focuses on the business purpose, products, and outcomes. He will then introduce the 7 characteristics of STELLAR Analytics, including Streaming, Edge, and Location Analytics, plus a few more. These value-based approaches can accelerate business success with data and analytics.
02:10 PM - 02:30 PM

Break / Expo

02:30 PM - 03:00 PM

Hyper-Decisive® Maturity Model

Chris von Simson
Digital enterprises must be hyper-decisive® - the apex of both innovation and perspective - instantaneously processing vast arrays of data and information, and delivering actionable insights to a growing community of users. In this short segment we'll share our latest research surrounding hyper-decisiveness.
03:00 PM - 03:30 PM

Hyper-Decisive® Maturity Model and Cox Automotive

Emilio Isom
During this session Cox Automotive’s Emilio Isom will share their experience employing the Dresner Hyper-Decisive(TM) Maturity Model. This will include how the Cox Automotive Sales Analytics team adapted the model to their organization and worked with internal teams including IT, Sales Operations, and other support functions. Emilio’s journey will cover success, challenges, and ways of using the model.
03:30 PM - 03:45 PM

Closing

Howard Dresner