Day 2

When dealing with sensitive information including financial records, health records or home loan applications, serious damage can befall a customer with lackluster data governance. Much like gasoline for an engine, “dirty” or missing pieces of a data record can hinder performance and cause issues within the system. The White House Executive Office of the President also released a white paper outlining the dangers of discriminatory algorithms on the protected classes and what can be done to avoid the pitfalls of big data. These decisions, breaches or missteps in data and analytics can dramatically and negatively affect a customer’s life.

Join this session to cover topics including:
  • Practicing responsible data governance to protect sensitive data
  • Feeding analytics platforms a balanced meal of quality, clean and correct data to ensure efficient internal use
  • Choosing the right data to use in algorithms to minimize risk of discriminatory outcomes

Andrea Sorensen

Director of Clinical Analytics
The Iowa Clinic

Rick Davis

VP and Global Head, Data Acquisition and Governance
The Kellogg Company

Rick Davis

VP and Global Head, Data Acquisition and Governance
The Kellogg Company

Rick Davis

VP and Global Head, Data Acquisition and Governance
The Kellogg Company

Andrea Sorensen

Director of Clinical Analytics
The Iowa Clinic

8:45 AM - 8:50 AM Chairperson's Opening Remarks

8:50 AM - NaN:NaN AM Building the relationship between information security and data analytics

(Abstract TBD)
Information security and data analytics are naturally linked within an organization. Predictive analytics and machine learning techniques can be used to detect security threats and breaches before they happen. Maintaining a strong relationship between the information security and data analytics teams is essential to efficient cooperation of these technologies to safeguard the infrastructure and information within an organization.

Join this session to hear from both sides of this relationship from a CISO and CDO on topics including:
How information security and data analytics are connected
What information should be shared between departments to minimize risk
What processes and technologies can help both sides achieve their objectives

Presented by Pyramid Analytics

Business Meetings

9:25 AM - 9:55 AM Business Meetings

Business Meetings

9:55 AM - 10:25 AM Business Meetings

Business Meetings

10:25 AM - 10:45 AM Networking Break with Refreshments

Case Study

10:45 AM - 11:15 AM Game Changing BI for under $1 M to integrate cross operating organization information under a common enterprise strategy

Pete Hogan, VP, Head of Enterprise Analytics & Applications, Post Holdings
Over the span of three years, Post Holdings acquired nearly a dozen consumer goods companies. The Enterprise Intelligence team was tasked with consolidating each of the core business function information into an enterprise view without business disruption. Through flexible data integration approaches, cleansing and storage practices, Post Holdings was able to unify silos of data and align them with the company strategy for less than $1 Million.

Join this session to hear about topics including:
  • How Post Holdings was able to integrate data from multiple ERP systems
  • Deciding what data was relevant to keep and how to normalize it
  • Use 90% standard vendor offerings in a cloud based model to achieve this goal
  • How this process is repeatable for any mid-size enterprise organization

Pete Hogan

VP, Head of Enterprise Analytics & Applications
Post Holdings

Case Study

11:15 AM - 11:45 AM The Benefits of Market Disruption

(Abstract TBD)
CDOs and CAOs are uniquely positioned in a world rapidly changing as a result of technology. Disruption extends beyond the aspects of security risks and new business models. It is reshaping every aspect of life in the modern world, and no one is better positioned than the data analytics executive to benefit from the new climate. Sweeping technological progress is pervasive leaving nothing unaltered. Innovation is a challenge that often becomes more difficult with success. The same strategies that drove many companies to the top historically are the very qualities that stand to hold them back in the future.
Presented by IBM


11:50 AM - 12:35 PM Eliminating Data Silos to Maximize Analytic Efficiency and Unlock a More Complete Customer Snapshot

(Abstract TBD) Data silos hinder an analytics team’s ability to effectively use data. Unifying data across multiple types and locations paints a better picture of an overall data profile, and helps to eliminate the problem of out-of-date information and duplicate records. Bridging the data silos found between departments or even formats is one way to dramatically boost the insights and return gained from large amounts of complicated data.

This session will cover topics including:
  • Navigating data silos based on disjointed data ownership
  • Assimilating tools to combine data of multiple types
  • Unifying data records to ensure the most updated information is being used

Presented by Treasure Data


11:50 AM - 12:35 PM Using Self-Service Analytics Platforms to Simplify Insights Without Large Teams of Data Scientists

(Abstract TBD) Self-service analytics are becoming increasingly popular for small and medium-sized companies who do not have or cannot afford large data science departments to interpret data and analytics information for them. Self-service analytics allow a CDO or CAO to gain actionable intelligence from a data set in a relatively short amount of time and without much hassle. While their scope may not be as detailed or focused as a traditional analytics setup, self-service is a quick way to gain information from your data, even without the data science expert.

This session will cover topics including:
Adapting and integrating a self-service analytics platform
Choosing which aspects of your data platform should be self-service
Interpreting analytic outputs to drive business decisions from the C-suite

Presented by Corios

12:40 PM - 1:40 PM Networking Lunch

Roundtable Discussions

1:45 PM - 2:45 PM Small, Targeted Discussions Enabling Open Exchange Among Industry Peers. Please Join One:

A. (Topic TBD) Presented by WANdisco
B. (Topic TBD) Presented by Hexaware
C. In-house data storage options
D. Data infrastructure and language

2:50 PM - 3:20 PM Business Meetings

3:20 PM - 3:50 PM Business Meetings

3:50 PM - 4:20 PM Afternoon Tea and Coffee - Email Break

3:50 PM - 4:20 PM Business Meetings

4:20 PM - 5:05 PM Sourcing the Best Talent to Populate your Data and Analytics Department

Rick Davis, VP and Global Head, Data Acquisition and Governance, The Kellogg Company
As the data and analytics landscape and roles continue to evolve, it is necessary to keep your talent sharp. Data science must strike a balance with business acumen within an organization to be able to work with the data and analytics platforms, as well as interpret the information into marketing and revenue-driving campaigns.

Join this session to cover topics including:

  • Where the talent pipeline is for data analytics
  • Continuing education for current employees to stay ahead of the technology curve
  • Effective leadership to achieve the goals of a data analytics department


Rick Davis

VP and Global Head, Data Acquisition and Governance
The Kellogg Company

4:20 PM - 5:05 PM Integrating Real-Time Analytics Processes to Make Streaming Data Available for Immediate Decisions

Ravi Malladi, Head of Data Science & Analytics, GE Power & Water
(Abstract TBD) Big Data has evolved to the point that event-based collection no longer comes in batches, but instead in a constant stream of information that must be cleaned, processed and ultimately analyzed. In order to keep up with the amount of dating flowing into an organization, companies must adapt real-time analytics technologies in order to drive business decisions in terms of hours, minutes or seconds, as opposed to days or weeks of the past.

This session will cover topics including:
  • Real-time analytics tool integration
  • Utilizing streaming data efficiently
  • Evaluating ROI

Presented by FuzzyLogix

Ravi Malladi

Head of Data Science & Analytics
GE Power & Water

5:10 PM - 5:40 PM Business Meetings

5:40 PM - 6:10 PM Business Meetings

6:10 PM - 6:30 PM Networking Break with Refreshments

6:30 PM - 7:00 PM A Data Driven Journey Fulfilling the Enterprise Information Management Vision

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1. Awareness 2. Analysis 3. Action
This presentation will illustrate the tenants of how McGraw-Hill Education built a data driven culture through the power and speed of self-service analytics.
The Journey will touch upon:
Cultural Issues and Emotions involved with enhanced Data Transparency
The importance of Self-Enabling Tools, a Single Access Point, Knowledge Sharing and Collaboration Advanced Analytics on Product Portfolio Clustering

6:30 PM - 7:00 PM Reducing Loss and Driving Revenue using Controlled Data Analytics Techniques

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According to the International Anti-Piracy Caucus, the theft of intellectual property including music and movies costs U.S. companies upwards of $25 Billion every year. The rise of machine learning techniques and the continued improvement of data mining are now allowing companies to combat piracy, as well as maximize efficiency for releasing their products through proper channels. By preventing the unauthorized access to their products while at the same time targeting official release dates based on data and analytics, NBC Universal has been able to reduce loss and drive revenue.

Join this session to cover topics including:
How machine learning and Big Data are used to detect and halt intellectual property theft
How data and analytics techniques can be used to determine preferable product release dates

7:05 PM - 8:34 PM Networking Cocktail Reception