Day 2: Monday, January 22nd
7:15 am - 8:00 am Networking Breakfast
8:00 am - 8:05 am Chairperson's Opening Remarks
8:10 am - 8:40 am The Last Mile: Implementing Your Data StrategyMike Lebben - VP of Sales and Operations Pyramid Analytics
CDAOs face a daunting challenge: implementing enterprise-wide data strategies that deliver tangible wins without sacrificing security, agility, and transparency. To successfully implement their strategies, they must approach this by deploying a solution that leverages existing investments while meeting changing organizational needs. This session will cover best practices for CDAOs to take their data strategies through the last mile and how an Analytics OS makes it possible.
- Understanding of the need for an analytics strategy
- Best practices around implementing an analytics strategy
- How the needs of an analytics strategy tie in to the design of an analytics operating system
Mike LebbenVP of Sales and Operations
8:40 am - 9:10 am Change Management: The Journey to a Data-Driven Culture and First Deployments in AIJoe Caserta - President Caserta
In the midst of the Artificially Intelligent future, executives must learn to embrace these new technologies and adapt in order to drive performance and gain a competitive edge. The role of the Chief Data and Analytics Officer has become that of a change agent that must help to drive and lead collaboration and connection across emerging technologies and to bridge people and processes with technological advancements available to us in the market place.
Join this illuminating session as we discuss how to be an effective change agent in the modern tech landscape:
- Identifying the use-cases before beginning your AI journey
- How to pivot towards a ‘data centric organization’… how long, slow, and cumbersome is the journey
- Even if you have a BI Platform or a Data Lake, how do you drive capabilities within the business
9:10 am - 9:40 am Data Intelligence: How the Amalgamation of Data, Science, and Technology is Changing the Way We Do BusinessJoe Caserta - President Caserta
The digital transformation phenomenon has created an avalanche of new technologies and approaches for delivering new forms of information and insights to business users and their customers. This keynote, delivered by a prominent consultant who has helped many global enterprises adopt emerging techniques towards data intelligence, provides a preview of what’s to come with the amalgamation of Science, Business and Technology including business use cases for virtual and augmented reality, chat bots and artificial intelligence.
9:45 am - 10:15 am Business Meetings
10:15 am - 10:45 am Business Meetings
10:45 am - 11:00 am Networking Break
11:00 am - 11:40 am Boosting Soft Skills: Focus Areas to Improve Employees’ Ability to Manage Themselves and Drive Change EffectivelyDaniel Caraviello - Global Leader, Strategic Alliances and Talent Acquisition, Data Science and Informatics Dow AgroSciences LLC
Enabling our employees to be successful goes beyond the development of their technical skills; we as leaders must catalyze the development of their skills for effective communication, conflict resolution, conflict resolution, influential leadership, self-awareness and innovation. In this session, take a step back from the mechanics of data and analytics to consider the attributes that have enabled us to reach our positions, and explore readily applicable concepts that can be taken back to our employees
Join this discussion as Dr. Caraviello covers:
- Impactful concepts related to stress reduction
- Focus areas for leadership development
- Key concepts related to diversity and inclusion
- Approaches to improve your teams ability to drive innovation
- Focus areas to drive engagement and retention
Daniel CaravielloGlobal Leader, Strategic Alliances and Talent Acquisition, Data Science and Informatics
Dow AgroSciences LLC
Brainweave A11:45 am - 12:30 pm Open Source Big Data Ingestion Engine: Reduce Cost and Generate Insights Quickly Ben Harden - Principal, National Data & Analytics Practice Leader CapTech
Unmanaged big data ingestion can turn into a big headache and a security risk. Empower better business decisions with a tool that provides a governed data solution which allows organizations to create, manage, and consume technical and business metadata. CapTech will discuss a Big Data Ingestion Engine and Metadata Registry that’s been successfully delivered with multiple clients and is currently being open sourced. Join this interactive discussion to explore successful techniques to:
- Incorporate outside data with production data to prove out analytical ideas
- Build proof of concepts without going to IT to ingest data
- Ensure all data in the lake is managed and accounted for
Ben HardenPrincipal, National Data & Analytics Practice Leader
Masterclass A11:45 am - 12:30 pm Pragmatic Data Governance - Real World examples of driving value from your Enterprise Data Governance Investments Matt McGivern - Managing Director, Data & Analytics Protiviti
Many firms struggle with how to ensure their Enterprise Data Governance efforts quickly deliver business value in their organizations, and also how to ensure sustainment of these organizations post the initial launch and investment. Our session will provide real world examples and use cases of where organizations have implemented Enterprise Data Governance, the specific aspects and components of Governance enabled, and how Governance may respond to real world business problems.
We will address the following topics, such as:
- What is Pragmatic Data Governance, and how does it differ from how some firms have attempted to launch their programs?
- What frameworks / models for Enterprise Data Governance are other organizations leveraging?
- How do we defend the costs of Enterprise Data Governance within our organization?
- Instances of where we are seeing Regulatory drivers for Enterprise Data Governance, such as within Banking
Matt McGivernManaging Director, Data & Analytics
12:30 pm - 1:30 pm Networking Lunch
Round Table A1:30 pm - 2:15 pm Establishing a Center of Excellence for Analytics Modeling Fabio Italiano - VP, Enterprise Information Management McGraw Hill Education
Round Table B1:30 pm - 2:15 pm Addressing Perennial Challenges in Data and Analytics Shilpa Yelamaneni - Director, Business Insights and Analytics Eby-Brown Company, LLC
Round Table C1:30 pm - 2:15 pm Best Practices for Cost Optimization Scott Friesen - VP of Strategic Analytics Echo Global Logistics
2:20 pm - 2:50 pm Business Meetings
2:50 pm - 3:20 pm Business Meetings
3:25 pm - 3:55 pm Applying a Decision Framework to Prescriptive Analytics: Avoiding Paralysis by AnalysisDipti Patel-Misra PhD, MBA - Chief Data & Analytics Officer CEP America
With over 6 million annual patient visits, CEP America has significant data and in a short period of time has built a number of real time prescriptive analytics tools. The learnings along this journey from retrospective analytics to predictive and prescriptive tools are tremendous – what worked, what can be done differently, how does one start?
Join this illuminating discussion as we discuss the stages necessary to build prescriptive tools and solutions:
- Identify the clear business goals and how to measure their value
- Include what leaders should do, invest, build, organize and align, in order to gain access to the next level of analytics maturity
- Define the return on investment
Dipti Patel-Misra PhD, MBAChief Data & Analytics Officer
4:00 pm - 4:30 pm Business Meetings
4:30 pm - 5:00 pm Business Meetings
5:00 pm - 5:15 pm Networking Break
5:15 pm - 5:45 pm Big Data – As a Data Lake and the Enterprise Data Warehouse: Unified Data Architecture(UDA)Bipin Karunakaran - Vice President of Data Management, Informatics Geisinger Health Systems
Big data has enabled analytics on high volume, velocity and variety (3V’s) of data. Most of this data is either unstructured or non- relational data. At Geisinger the Unified Data Architecture (UDA) combines unstructured, structured and relational data processing on a unified open-source platform providing a cost-effective way for doing traditional analytics as well as real time predictive analytics.
This session will focus on
- Strategy and tactics for transformation from a traditional data warehouse to a unified data lake and data warehouse
- Tools and design approach for Big Data relational and non-relational warehouse
- Strategy and implementation of real time data and batch processing on a unified data platform
- Building Natural Language Processing(NLP) and Predictive modeling tools on the unified Big Data platform
- Example use case – Early detection of sepsis and care of sepsis patients
Bipin KarunakaranVice President of Data Management, Informatics
Geisinger Health Systems
5:45 pm - 6:15 pm Changing Organizational Culture by Treating Data Science as a ScienceMichael W. Simon Ph.D. - Chief of Data Science & Business Analytics, Weapons and Counterproliferation Mission Center Central Intelligence Agency
Organizations trying to adopt a data-driven culture face challenges from internal stakeholders who are accustomed to traditional approaches. One particular challenge exists for organizations that have relied on a culture of expertise. This presentation offers a partial solution to the challenge: Treating data science as a kind of “science.” The presentation will address the role of transparency, innovation, and the crucial role of subject-matter expertise even while moving to a data-driven culture.
Michael W. Simon Ph.D.Chief of Data Science & Business Analytics, Weapons and Counterproliferation Mission Center
Central Intelligence Agency