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 Decision Support Analytics in a Mission-Driven Enterprise

This session will describe an approach to strategic-level decision support using descriptive and predictive analytic methods. Specific examples from research, development, and innovation investment portfolio management will be discussed. Decision support for the tactical homeland/national security arena will also be briefly examined. The ongoing development of a return model for the mission-driven environment (as opposed to the profit-driven environment) will be explored. Lastly, we will discuss the emerging role of the Chief Analytics Officer and how the CAO becomes a business partner for the entire organization.

Join this engaging session as cover topics including:
•Government strategies for predictive and descriptive analytics
•Techniques in data analytics applied to homeland security and federal entities
•Key differences between profit-driven analytics and mission-driven analytics practices

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

9:35 AM - 10:05 AM Business Meetings

10:10 AM - 10:40 AM Business Meetings

10:45 AM - 11:10 AM Networking Break with Refreshments

11:15 AM - 11:45 AM Developing an Effective Talent Acquisition and Retention Model to Prevent Turnover and Consistently Drive Performance

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



2:40 PM - 3:40 PM RoundTables

Roundtable A: 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: Operational Efficiency in Analytics: a Systems View

Roundtable C: A Holistic Approach to the Big Data Analytics Pipeline

Roundtable D: From Silos to Effective Foundations for Digital-Building Collaborative Analytics Ecosystems


4:20 PM - 4:50 PM Business Meetings

3:45 PM - 4:15 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 Developing an Effective Data Protection Strategy to Keep Up with the Shifting Needs of Your Data Center

As your organization navigates the new digital age, your data protection strategy needs to be more than just the basics of backup and recovery. With the shifting tides of data center requirements, you must have a data protection solution you can trust your business and career with. Navigating the various data protection solutions from physical to virtual and private to public clouds while ensuring enterprise scalability can be fraught with pitfalls. Done poorly, it can be costly, waste valuable staff time, and hold the organization back from meeting key service level agreements.

Join this insightful session as we discuss how data protection is critical for your business and helps to:

•Eliminate complexity and interrupted access to IT services
•Reduce staff inefficiencies and operating expenditures
•Enable faster decisions and strategic thinking
•Accelerate return on investment


7:00 PM - 7:00 PM Networking Cocktails