Day 1: Wednesday, August 23rd

11:00 AM - 11:45 AM Welcome Brunch and Registration

11:45 AM - 12:00 PM Sponsor Orientation

11:45 AM - 12:00 PM Delegate Orientation

12:00 PM - 12:20 PM Kickoff Networking Activity

12:20 PM - 12:25 PM Chairperson Official Welcome to IQPC’s Chief Data & Analytics Officer Exchange

Opening Keynote Address

12:30 PM - 1:00 PM Overcoming the Organizational Barriers Required to Enable Data Driven Business Models

Chief Data executives have been hired in many companies and given the authority they need to drive data management and data science initiatives forward. However, many organizations are struggling with how to effectively align the “technology” of the data with the “business” of the data, and many data executives are in the midst of rewriting internal policies and standards. To successfully utilize the data to drive business, it’s critical to align data strategy with business motivation and drivers.

In this interactive session we’ll discuss how to:

•Address the gaps and challenges associated with data management and scaling the pilot initiatives across the organization
•Change organizational behavior by integrating data stewardship and accountability into the operational processes of the entire company
•Define the core building blocks of a successful data strategy
•Develop data quality control processes including the adoption of business rules and the establishment of authorization points


Plenary Session

1:05 PM - 1:35 PM Utilizing Artificial Intelligence to Extract Meaning and Benefit from Big Data

In the age of big data companies have more kinds of data available to them than ever before; far more than their current technologies can keep up with. While this multitude of data creates the potential to learn much more about the customer base, it also means that all of this data can be hard to access and manage; and overwhelming to analyze. As such, it’s critical to implement an AI solution that can respond to ever-changing information and make adjustments based on what it learns.
Join this session as we learn how to:
•Identify the AI-based tools that fit your business and business model
•Determine the types of data that can be made available to AI systems
•Perform a data “audit” that lets you know what data is and isn’t being collected
•Explore technology platforms that can unify all of the data from multiple sources
•Implement an AI solution that works with your data to deliver what you need to drive business

1:40 PM - 2:10 PM Business Meeetings

2:15 PM - 2:45 PM Business Meeetings

2:50 PM - 3:15 PM Networking break with refreshments

Master Class A

3:35 PM - 4:20 PM Interfacing Text Analysis and Machine Learning Technologies to Assess and Interpret Customer Feedback and Interactions

Speech-to-text technology has allowed sales and customer service departments to record and transcribe their customer interactions for later review. Text analysis is now using speech-to-text technology and machine learning capabilities to determine qualitative data for these customer interactions. These new processes allow analytics teams to garner useful insights from phone conversations to determine attitude, mood, intent and customer satisfaction.

This session will cover topics including:

  • Integrating text analytics tools
  • Avoiding “false positives” in text analysis
  • Using predictive modelling to evaluate consumer touch points


Master Class B

3:35 PM - 4:20 PM Utilizing Data and Analytics Techniques to Streamline Internal Departments and Processes

(Abstract TBD) Data and analytics are more than just external tools to increase marketing effectiveness or drive revenue. The same tools used to enhance the customer experience can be used to optimize internal processes and elucidate organizational structure. Whether it is to determine where to open a new store, maximize efficiency of logistics or reduce costs through smarter procedures, data analytics can be of great value within a company in addition to the external benefits.

This session will cover topics including:
  • Data analytics in Human Resources to boost satisfaction and retention
  • Streamlining logistics to reduce operating costs across a business
  • Utilizing data analysis techniques in manufacturing industries to enhance safety and quality of product

Presented by LatentView

Plenary Session

4:10 PM - 4:55 PM Turning Data Analytics into Quantifiable Results

For organizations that have historically relied on hard-won experience to drive outcomes, the discipline of data-driven decision making may be a wholly new approach to thinking about how to improve business performance. An assessment of analytics maturity is crucial to company performance, so it’s important to define a framework for a repeatable analytics process.

Join this illuminating discussion as we discuss the stages necessary to creating this framework, such as:

•Defining how the organization communicates, sets and executes goals; and measures performance
•Predicting and understanding the behaviors and tendencies of your customers, and forecasting how they will behave in the future in a variety of circumstances
•Assigning the best interaction strategy to each customer based on understanding and predicting their behavior
•Identifying the best mix of strategies by balancing business objectives with the goals of customers
•Launching the optimized mix of strategies into the field and capturing the responses to those strategies
•Analyzing the results by comparing predictions, strategies, executed campaigns and customer responses in order to evaluate the impact on business performance

5:00 PM - 5:30 PM Business Meetings

5:35 PM - 6:05 PM Business Meetings

Panel Discussion

6:10 PM - 6:40 PM Achieving Instant Insight into Structured and Un-Structured Data to Drive Business Decisions

High-velocity, high-volume, and high-variety data streams challenge analytics organizations as the ability to get critical insights often decays rapidly or becomes lost in the sea of unnecessary information. And as companies are moving more and more of their data—and analytics—to the cloud, it’s become even more difficult to get the fast, actionable insights needed to make more informed decisions. Traditional analytics architectures struggle to keep up with the data being created at constantly accelerating speeds by people, business transactions, and devices. New breeds of supercharged analytics engines enable organizations to get fast data analysis and insight to make more confident decisions from their data.

In this session, we’ll discuss how a broad range of organizations use these new platforms to:

•Find the right analytics systems for their current analytics architectures and specific performance needs.
•Dramatically speed analytics by eliminating the reliance on time-consuming data preparation, including indexing and ETL processes.
•Tap into the power of new, simple-to-use heterogeneous compute systems to use the right tool for each job
•Transform data analytics from sprawling, complex and cluster-based environments to streamlined ecosystems that fit your needs and provide answers in seconds

Networking Cocktail Reception

6:45 PM - 7:50 PM Networking Cocktail Reception