Day 2: Thursday, August 24th

7:15 AM - 8:00 AM Networking Breakfast

8:00 AM - 8:05 AM Chairperson’s Opening Remarks

Day Two Keynote

8:10 AM - 8:40 AM Translating Information into Profits: The Analytics Promise

Organizations are making large investments in analytics and data with the promise of huge yields. However, after some years of significant investments it is too often the case that these companies cannot show a large quantified impact. Demonstrating the power of value creation is a necessary condition to establish a sustainable analytics practice within firms and for chief analytics officers to become relevant key players within the C-Suite.
This session will show a case of a very successful analytics business unit: in a short period of time it has created value equivalent 106X cost, and effectively accelerating profits in a way that the company leapfrogs its competitors.

Join us in this illuminating discussion as we review:
•Analytical value creation
•Setting the right incentive scheme –Analytics as a profit center
•Ingredients to demonstrate the value of analytics
•Measuring the impact of analytics
•Communicating the results

Master Class C

8:45 AM - 9:30 AM Assessing the Analytics Maturity of Your Organization

In order to effectively assess the analytics maturity of your organization, it’s important to develop a framework which encompasses the five foundational elements of a successful analytics program.

Join us in this session as we discuss the five tiers of analytics maturity, including:
•Awareness – a problem has been identified, but the organization lacks analytical skills & executive awareness in data quality and management
•Reactive – analytical action tends to be system or department-specific, driven by line of business management
•Aspiring – resources are aligned to create a broad analytics capability, and leadership is committed to developing an enterprise management process
•Capable – analytics are part of a company-wide culture where information is managed as an asset
•Competitive – the organization competes on data, leveraging strategic, enterprise-wide analytics for continuous improvement of business performance

Master Class D

8:45 AM - 9:30 AM Driving Digital Transformation and Using Data and Analytics to Gain a Competitive Advantage

Business analytics plays a crucial role in formulating ways to improve business strategies, operations and make smart business decisions that lead to a competitive advantage. Organizations accumulate massive amounts of data from business operations, social interactions, sensors, etc.
Join us in this illuminating session as we discuss how to harness the power of big data to:
•Build automated solutions and provide insights that lead to sustainable advantage
•Develop a 360-degree view of the digital consumer that allows companies to predict new revenue streams, improve customer retention rates and optimize investment decisions
•Harness data to drive efficiencies, increase revenue and boost the bottom line
•Improve efficiency, reduce costs, increase competitiveness and effectively trade off risk against available opportunities
•Use Data to Identify Service Requests that Turn Critical
•Translate complex data sets into intuitive information to empower a broad user base and become a more data centric organization

9:35 AM - 10:05 AM Business Meetings

10:10 AM - 10:40 AM Business Meetings

10:45 AM - 11:10 AM Networking Break

Plenary Session

11:15 AM - 11:45 AM Developing an Effective Data Protection Strategy to Keep Up with the Shifting Needs of Your Data Center

Effective talent management has traditionally been a discipline that was used to assess how well employees are doing against their goals to help drive revenue and growth in the organization. Sadly, most of these programs are “backward” looking – they’re done annually and are often just an exercise in completing paperwork so than annual merit increases can be justified. In the changing data and analytics landscape, it’s critical to attract, develop and retain top talent in the world of big data to drive predictive reporting; not just historical reporting.
Join us in this thought-provoking session as we discuss newer strategies that can help your organization:

•Migrate from an evaluative approach to a developmental approach
•Eliminate the formal annual process to an informal, ongoing performance management process
•Integrate performance management with other talent processes and cross-departmental collaboration
•Accurately gauge performance measures that directly contribute to revenue and growth
•Develop methods that enable talent leaders to accurately measure performance

11:50 AM - 12:20 PM Business Meetings

12:25 PM - 12:55 PM Business Meetings

1:00 PM - 2:00 PM Networking Lunch

2:05 PM - 2:35 PM Developing a Data Management Strategy to Ensure Sustainability and Stakeholder Engagement

Stephen Gatchell, Chief Data Officer Engineering, Dell
Most firms already have some semblance of data management in place for structured data; and this is usually at the Line of Business level. The real challenge in developing an effective data management strategy is achieving an organization-wide perspective with the core elements of a CDO charter.

Join this interactive session as we discuss the core elements and strategy, such as:

•Defining the framework for the data management program, including the goals, objectives and scope; and how it will be organized, funded, governed and practically implemented
•The mechanisms that can be used to ensure sufficient allocation of resources, and the approaches that are used to measure costs and contributions from implementation of the data management program
•Identifying the organizational requirements and mechanisms needed to establish and confirm stakeholder engagement related to the program implementation
•Identifying logical domains of data, the underlying physical repositories; and the governance procedures necessary to ensure the control and appropriate use of the data
•Implementing governance mechanisms for management of the data manufacturing supply chain


Stephen Gatchell

Chief Data Officer Engineering

Roundtable A

2:40 PM - 3:40 PM Using Strategic Insight, Performance Marketing, Technology and Digital Intelligence to Put the Right Content in Front of the Right People at the Right Time and Place

Roundtable B

2:40 PM - 3:40 PM Operational Efficiency in Analytics: a Systems View

Roundtable C

2:40 PM - 3:40 PM A Holistic Approach to the Big Data Analytics Pipeline

Roundtable D

2:40 PM - 3:40 PM From Silos to Effective Foundations for Digital-Building Collaborative Analytics Ecosystems

3:45 PM - 4:15 PM Business Meetings

4:20 PM - 4:50 PM Business Meetings

4:55 PM - 5:25 PM Networking Break

BrainWeave A

5:30 PM - 6:15 PM Ensuring That Your Company is Getting the Most Out of Your Analytics Organization

An organization’s strength in analytics model development alone is insufficient to develop strength in business-analytics alignment. Companies need to complete the cycle by making complementary investments in model deployment and model management.

Join this interactive session as we discuss how to achieve fully-developed analytics disciplines by:

•Building a strong foundation in model development in order to maximize business-analytics alignment
•Establishing a comprehensive exchange of information, and identifying linkages between key information providers and information consumers
•Identifying analytics execution practices used by leaders in your industry and emulating them to transform your business
•Jointly developing the analytics execution and business execution capabilities to establish more rapid adaptation to changing customer needs and behaviors

BrainWeave B

5:30 PM - 6:15 PM Using In-Database and GPU Analytics to Gain Greater Insight from Your Data

2017 looks to be the year of granular and fast data. As businesses and organizations learn what is most useful to them from their data, they want to view it in greater levels of detail, in near real-time. To do so effectively, it’s critical to use in-database and GPU analytics to achieve faster results, more granularity, and higher quality models along with the subsequent time, resource and budget savings.
Join us for this illuminating discussion as we talk about:
•Applying solutions to the full data set so no sampling is required
•How highly parallel algorithms significantly reduce the compute time required for complex analytics at scale
•Running analytics that don’t require data movement or re-coding
•Developing mathematical and statistical functions used widely in data mining and analytics applications, including “big data analytics”
•How to utilize in-database analytics to achieve analytics performance gains of 10-100x

6:20 PM - 6:55 PM Building Data Science - Lessons Learned from Transitioning Companies to Data Driven Methodologies

Scott Sokoloff, Chief Data Officer, Groupon/OrderUp
Scott Sokoloff, OrderUp Chief Data Officer at Groupon, and Afsheen Afshar, Chief Data Science Officer at JPMorgan Chase, share their experiences and insights in how to create a data driven culture. Told through a lens of use cases and personal insights; Sokoloff and Afshar, engage with the audience to tailor this keynote to the specific questions of those in attendance. Audience involvement is encouraged and everyone is asked to bring any use case or practical concerns they may have in transitioning their company towards a data driven culture.

Key takeaways from the session are:
•“Know Your Business Objectives,”
•“Invest in Internal Resources”
•“Build the Infrastructure for Success”


Scott Sokoloff

Chief Data Officer

7:00 PM - 7:00 PM Networking Cocktails