Tuesday, July 12
1:00-4:30pm Session 1
1A: CDO Best Practices: Creating Truth, Trust and Traceability Location: E51-145
by MITCDOIQ Symposium Valued Partners, Collibra, Global ID’s and Sandhill
Speakers: Robert Lutton, VP Sales and Marketing, Sandhill Consultants; & Donald Soulsby, EDME, VP of Architecture Strategy, Sandhill Consultants
Stan Christiaens, Chief Technology Officer, Collibra
Bill Winkler, Chief Technology Officer, Global IDs
Abstract: As a CDO, you are responsible for your organization’s data. Are you getting the highest value out of it that you can? Information consumers demand data that is trustworthy. Providing that requires a focus on the processes of caring for that data, and providing information about the data to its creators and consumers. This demands a repeatable, scalable and automated approach. How do I identify my critical data? How do I handle data anomalies? Insure that my analytics are valid? How do I connect my business terms to data elements? This working session is a join event by three sponsors from the MITCDOIQ Symposium, Collibra, Global IDs and Sandhill Consultants as they review the best practices for instilling confidence and trust in enterprise data.
As with any asset, not all data assets need to be managed the same way. The data that has the highest risk profile from the perspectives of sensitivity, accessibility, reliability and privacy require the most rigorous data management practices.
This session we will explore the best practices and enabling technologies that underpin the Data Management Maturity Model from the CMMI for effective:
· Data Governance
· Data Quality
· Data Architecture
· Data Operations
1B: The Evolving Role of the CDO in Healthcare – Challenges and Opportunities Location: E51-149
Chair: Nick Marko, Chief Data Officer, Geisinger Medical Center
Charles Boicey, Chief Innovation Officer, Clearsense
Eugene Kolker, VP & CDO of Global Technology Services, IBM
James Noga, Vice President & CIO, Partners HealthCare
Abstract: This session will discuss the evolving role of the Chief Data Officer in healthcare organizations. Rather than focusing on topics that have already been covered repeatedly (e.g. reporting structure, job description), we will focus on questions regarding the evolution of the role and the future directions of the healthcare CDO. The panelists are seasoned healthcare CDOs who have helped build and shape the CDO role in healthcare, and the goal is to have them offer a real-world, hands-on perspective regarding the past, present, and future of the healthcare CDO as people who have been living and shaping this trajectory.
The discussion will intentionally involve both the good and the bad – the challenges and the opportunities – in order to have a frank discussion about the changing role of the healthcare CDO. The panelists will discuss what parts of the CDO role have resulted in organizational value and what parts have not, what current directions represent real opportunities and which may be dead ends, and what changes are needed in healthcare cultures and systems to derive maximal value from the CDO position.
There will be an emphasis placed on open discussion and interactive Q&A, and session participants will be encouraged to share their own experiences, successes, concerns, and questions.
1C: Big Data Means Big Change Location: E51-151
Speakers: Peter Anlyan, Anlyan Consulting; & Amanda Marko, President and Chief Connection Officer, Connected Strategy Group
Abstract: Big data and change are inextricably linked. Standing between your innovative ideas and reality are the ingrained attitudes of stakeholders and the stories they tell. Leaders of big data eager to digitize, optimize, and revolutionize business must also consider the people-side of the equation. In this interactive workshop, learn the mechanics of change management that will allow you to anticipate and overcome resistance. Then, discover valuable communications techniques that will resonate with stakeholders and transform you into a change leader.
1D: The Evolving Mandate of the Chief Data Officer Location: E51-385
Speakers: Ramesh Nair, Principal, PwC
Abstract: The Chief Data Office function is quickly becoming critical to the enterprise. The regulatory mandates for consistent and timely submissions with robust quality and audible lineage has brought data to the Boardroom and “C” suite. The CDO is being drawn into this as the critical figure to help the enterprise achieve compliance and improve enterprise data quality, i.e., lead the “control” objectives.
The CDO is also becoming critical to the “growth” ambitions of the enterprise. With the “C” suite recognizing the power of data for timely insights into customers, operations, and the market, the demand for new and more data continues unabated, along with near real-time processing and analysis capabilities.
CDO’s find themselves in the cross-hair of this tension to drive the control and growth mandates concurrently, often contending with conflicting demands.
Our discussion will focus on:
1. The growth/control tension – how are CDOs dealing with it? How are priorities being set, and how
should the CDO organization and technology environment be aligned to these?
2. How the CDO position will evolve into the “C” suite? Many new interactions amongst the “C” level
execs are now funneling through the CDO. What is the role of the CDO in the new “C” dialogue?
3. Does the CDO sign up for “cleanliness of data” and also the “cleanliness of the message,” – is the
CDO accountable for what is reported or conveyed to the business based on analysis of data the
4. Should the CDO be accountable for “how data informs the “C” suite and Board” – the complexity
and sophistication of analytics from traditional and latest Big Data is accelerating and surpassing
ability of Boards to understand and absorb?
5. What new areas should be within the CDO remit – should privacy, meta-data tagging of external
data when integrated with internal, value-exchange contracts with data and analytics partners,
etc., be part of the accountability?
2:30-2:45pm Coffee Break & Networking
4:30-6:30pm Self-Organized Meet & Greet Location: Off-Site
Wednesday, July 13
7:45-8:45am Location: Ting Foyer
Continental Breakfast & Registration
8:45-10:30am Session 2A Location: Wong Auditorium
Welcome: Stuart Madnick, Professor, MIT Sloan School of Management; & Dr. Richard Wang, Director, MIT CDOIQ Program
Symposium Co-Chairs: Peter Anlyan, Founding Member, Anlyan Consulting; Robert Lutton, VP Sales and Marketing, Sandhill Consultants; Jim Gilligan, President and CEO, Blue Cross Life Insurance Company of Canada; Nick Marko, Chief Data Officer, Geisinger Medical Center; Dr. James C.S. Meng, Former Deputy Assistant Secretary of the Navy, Enterprise Business Solutions, OAS Navy; Arka Mukherjee, Founder and CEO, Global IDs; & Tina Tang, Senior Director, SAP
Marketing Chair: Ingrid Centurion, CEO, Centurion Technologies
Media Chair: Paul Gillin, B2B Social Media Strategist, Paul Gillin Communications
Proceedings Chair: Bruce Milligan, VP Marketing and Communications, Citizant
Sponsor Greetings – 30 seconds each
Institute for Chief Data Officers – UALR jointly with MIT
Speaker: Lawrence Whitman, Ph.D., P.E., Dean, UALR Donaghey College of Engineering and Information Technology
9:30-10:15am Session 2B Location: Wong Auditorium
The Business of CDOs is Business
Speaker: Mark Krzysko, Deputy Director for Enterprise Information, Office of Undersecretary of Defense (for Acquisition, Technology &Logistics) / ARA
White House Open Data Quality Roundtable – Applying the Lean Startup approach to data management
Speaker: David Portnoy, Former Entrepreneur-in-Residence, U.S. Department of Health and Human Services (HHS)
Abstract: Discussed at the White House Open Data Roundtable on data quality (and a subsequent government-wide Data Cabinet meeting), the Demand-Driven Open Data (DDOD) program was demonstrated to be an effective approach to improving data quality. DDOD is best described as “Lean Startup for open data”. It’s a framework for implementing open data initiatives in a more systematic and practical way, delivering improvements in data assets and creation of shared technical capabilities. We’ll also cover how a Lean Startup approach to data management is applicable to industry as well.
10:15-10:30am Coffee Break & Networking
10:30am-12:00pm Session 3A Location: Wong Auditorium
Data Management and the Federal Agency – Emerging Best Practices
Chair: Mark Krzysko, Deputy Director for Enterprise Information, Office of Undersecretary of Defense (for Acquisition, Technology &Logistics) / ARA
Ralph DiCicco, Acquisition Chief Information Officer (CIO), Office of the Deputy Assistant Secretary of the Air Force
Kevin Garrison, Principal Director and Director of Analytics, Deputy Chief Information Officer for Business Process and Systems Review, Department of Defense (DoD)
Daniel Morgan, Chief Data Officer, United States Department of Transportation
Kris Rowley, Chief Data Officer, General Services Administration
Abstract: With the emergence of data and information capabilities, Federal agencies are in a position to leverage data to improve effectiveness and efficiency and to add value. The opportunity is clear. The questions of how to leverage the value range from functional through technical, and leadership approaches vary. This session will examine how public sector organizations are providing leadership for managing data and will review the skills, roles and other workforce needs that have emerged as organizations have turned to data.
10:30am-12:00pm Session 3B Location: E51-145
Dynamics between the CDO and the CIO: The Case of a Major Pharmaceutical Company
Chair: Lynda M. Applegate, Sarofim-Rock Professor of Business Administration, Faculty Chair Executive Education Programs for Entrepreneurs and Business Owners, Harvard Business School
Daniel LeBeau, CIO, GlaxoSmithKline (GSK)
Mark Ramsey, Chief Data Officer, GlaxoSmithKline (GSK)
Abstract: The role of the CIO is focused on how to transform the business with new innovative business processes, to reduce cost with productive business processes and best industry practices, to increase customer satisfaction with new services and channels, to address business compliance and to develop platforms for growth and globalization. The role of the CDO is to lead the data vision, mission, and culture across the organization by delivering data capabilities that accelerate their organization’s strategy. Recognizing that leading a data function has become a specialized discipline, with skills unique from those traditionally found within IT, the CDO advances business interests through partnering with technology. Join this discussion to hear the views of the CIO and CDO of a major pharmaceutical company on the dynamics of the two roles, spanning collaboration, competition and conflict.
12:00-12:45pm Lunch & Networking Location: Ting Foyer
12:45-2:15pm Session 4A Location: Wong Auditorium
On the National Open Data Initiatives: A Fireside Chat
Chair: Yang Lee, Group Coordinator, D’Amore-McKim School of Business, Northeastern University
Margie Graves, Acting Deputy Federal CIO with the Office of Management and Budget, Executive Office of the President
Sandy Pentland, Director, MIT Connection Science and Human Dynamics Lab
Richard Soley, Chairman & CEO, Object Management Group
Holly St. Clair, Director of Enterprise Data Management, Commonwealth of Massachusetts
Abstract: Open data is a public good and strategic asset in the United States. By fostering a vibrant ecosystem where information resources are accessible, discoverable, and reusable, we unlock the value of data to fuel entrepreneurship, innovation, and scientific discoveries—improving the lives of individuals by delivering better public services, improving public safety and encouraging job creation. Increased transparency in government also leads to a more efficient and participatory government. This shapes the policy environment and sets the tone for overall openness.
Countries across the world and at all levels of development have established open data initiatives. At the same time, regional and local governments are finding ways to release data and create new platforms. The private sector is also investing resources to release data and unearth business opportunities. Furthermore, public-private collaborations are advancing the shared goal to increase the value of open data. As more data becomes freely available, society will reap the benefits through increased citizen engagement, data-driven decision-making, and improvements in the overall quality of data that we share.
Join us in this panel to promote the exchange of Open Data initiatives to cultivate these efforts at the local and national level.
12:45-2:15pm Session 4B1 Location: E51-145
Securing Big Data
Speaker: Shamla Naidoo, Vice President of IT Risk & Chief Information Security Officer, IBM
Abstract: Security is in the news everyday. The current security challenges facing enterprises, large and small alike, in 2016 and beyond can be daunting.
The CISO has many responsibilities so finding the balance between growth and security is critical. This session will discuss the enterprise’s top 2-3 security challenges and how successful CISOs approach this balance.
1:30-2:15pm Session 4B2 Location: E51-145
Enabling Growth through Quality Data at SAP
Speaker: Justin Litz, Vice President, Enterprise Data Management Team, SAP
Abstract: The focus of the session will be on how SAP governs customer data and supports our Sales Line of Business including:
· Data governance model at SAP
· History of the program
· Where we are today
· People, process and tools used to manage the policy & rules
· Practical examples of tools used to achieve the strategy
· Initiatives that depend on accurate and reliable customer data
· Building the network of key stakeholders and influencer to support the strategy
12:45-2:15pm Session 4C Location: E51-149
Value Chain Data Strategy, Analytics, Valuation, Security and Risk Assessment – Industry Trends and Practices
Chair: Dr. James C.S. Meng, Former Deputy Assistant Secretary, US Navy (Ret.)
Dan Green, Principal Investigator, Industrial Internet Project, US Navy / SPAWAR
Barbara Latulippe, Chief Data Governance Officer, EMC
Steve Orrin, Chief Technologist, Intel Federal LLC, Intel Corporation
Dr. Joseph J. Salvo, Director of Industrial Internet Consortium and Manager, Complex Systems Engineering Laboratory, GE Global Research
Abstract: In a globalized supply chain, multi-national corporate relationships, data generated in manufacturing with maintenance at user field level are connected with increasing levels of details. Trends and data value at microeconomic level for industrial Internet is presented. Risk as a function of the tradeoffs between domestic production, ownership and trade dependencies is discussed. Research of industrial Internet is focused on enabling connectivity at manufacturing & maintenance at field level. Key challenges and approaches of addressing interfaces of myriads of different systems for interoperability are presented. Industry practices of data governance of analytics, in order to capture value of information to enhance value for customers, are presented. Examples of successful exploiting data value by providing teams visibility to businesses value cases, data catalog, peer reviews and analytical models to accelerate insight resulting in actions that can be monetized are shown. Enabling practice of cloud-based analytics to deal with common language of risk definition to protect core value or brand name is presented.
2:15-2:30pm Coffee Break & Networking
2:30-3:30pm Session 5A Location: Wong Auditorium
The Role of the CDO in Organizational Cybersecurity Governance
Chair: Stuart Madnick, Professor, MIT Sloan School of Management; The John Norris Maguire Professor of Information Technologies, Sloan School of Management; & Professor of Engineering Systems, School of Engineering, Massachusetts Institute of Technology
Abstract: The CDO has the primary responsibility for creating value from the organization’s data. In an era of increasing cybersecurity threats, the CDO must also play a role in protecting that valuable data from attacks, such as cyber-theft and cyber-ransom. So, how does the CDO assess its organization’s preparation for cybersecurity and improve its protection? This session will describe some recent research addressing the strategic, managerial, and operational issues conducted as part of the new MIT Interdisciplinary Consortium for Improving Critical Infrastructure Cybersecurity (see http://ic3.mit.edu). Two specific projects, one focused on assessing cybersecurity culture and the other on ways to adapt successful industrial safety analysis methods to improve cybersafety, will be described.
Session 5B Location: E51-145
Applied Infonomics: Measuring, Managing and Monetizing Information as an Actual Asset
Speaker: Douglas Laney, Vice President and Distinguished Analyst, Information Innovation and Strategy, Gartner Inc.
Abstract: Information is understood broadly to be a critical enterprise asset, yet is neither treated nor formally valued as such. This session will introduce the range of business benefits to information valuation and lay out a path to quantifying and improving the return on information. Attendees will learn Gartner’s models for valuing information as an actual corporate asset, leading to its improved deployment as a fuel for business performance, amplification and transformation.
In this session, Mr. Laney will cover:
1. Why information should be recognized as a formal asset.
2. What are the principles of infonomics and how can they be implemented.
3. How organizations can quantify the value of their information assets.
Session 5C Location: E51-149
How to Use DQ Metrics to Improve Overall Customer Experience
Speaker: Bill Winkler, Chief Technology Officer, Global IDs
Abstract: One of the driving forces behind the digital agendas at many firms is an objective to improve overall customer experience. These digital transformation initiatives are central to growing revenues, reducing operating costs, and enabling effortless customer experiences.
Customer experiences are impacted by data quality issues in a variety of ways. As such, we’re beginning to see firms use the “data exhaust” of key business processes as key components of their digital transformation programs. In this session, Bill will show how data quality metrics and ongoing monitoring can be used to improve business processes and improve overall customer experience.
Session 5D Location: E51-151
Data Management on the Blockchain
Speaker: Justin Magruder, Founder and President, Noetic Partners; & Diane Schmidt, Managing Director, Noetic Partners
Abstract: Noetic explores immediate opportunities and the emerging consensus, on the disruptive, and productive, uses of Blockchain and Ethereum technologies for Financial Services.
3:30-3:45pm Break & Networking
Session 6: Partners – Industry Solutions, Use Case Successes
Session 6A – CDOIQ Platinum Sponsors Presentations: 45mins each Location: Wong Auditorium
The Future Impact of “Sequencing Everyone” on Systems for Processing Genomic Data and for Delivering Analytic Results
Speaker: Dr. Michael J. McManus, Senior Health & Life Sciences Solution Architect, Intel
Abstract: As the use of genome sequencing becomes mainstream in clinical practice we are faced with the daunting realization of a future where we are “sequencing everyone”. What systems will be needed to process and store genomic data resulting from sequencing everyone? Once processed, what analytic solutions will be needed to extract actionable knowledge from this massive amount of genomic data? The challenges associated with our entrance into the era of “sequencing everyone” will be presented.
The CDO’s Platform for Success
Speaker: Stan Christiaens, Co-Founder and Chief Technology Officer, Collibra
Abstract: As organizations refine their use and understanding of their data, the role of the Chief Data Officer and their organization continues to evolve. One of the most important challenging tasks for the CDO is getting and sustaining adoption across stakeholders across the various parts of the business, often adding new responsibilities on top of already existing day jobs. The CDO organization has to empower individuals to use that data through a broad set of organizational capabilities, and self-service those same individuals in a growing number of use cases.
To do this successfully we have to step out of ad-hoc approaches where meetings, spreadsheets and email rule supreme. To do this successfully requires a broad and flexible platform. Only with such a platform can the CDO accommodate all of the variations and changes that exist in a normal organization, as well as the rapid expansion of use cases, changes in regulation, and increasingly diverse user community.
Join Stan Christiaens, CTO and Co-Founder of Collibra, as he explores the platform approach and how it enables CDOs to empower their organizations.
Finance – The Evolving Mandate of the Chief Data Officer
Speaker: Ramesh Nair, Principal, PwC
Abstract: Boardroom and “C” suite executives are increasingly looking to the Chief Data Officer (CDO) to address complex enterprise-wide “control objectives” that include regulatory mandates and compliance, and improving data quality. At the same time, they are recognizing the untapped “growth” potential that data can drive via timely insights into customers, operations and the market. These demands are falling squarely on the shoulders of CDOs – many of whom now find themselves in the cross-hairs of this tension to drive the control and growth mandates concurrently, often contending with conflicting priorities.
Attendees will hear more about:
- How CDO’s role is continuing to evolve in the “C” suite.
- How CDOs are setting priorities to deal with the growth / control tension.
- Accountability and areas of responsibility CDOs are being asked to own, and the potential pitfalls.
Session 6B – CDOIQ Platinum Sponsors Presentations: 45mins each Location: E51-145
Data Governance: Making Data Transparent and Trusted
Speaker: Jelena Roljevic, Assistant Vice President of Business Intelligence Services, George Washington University; & Ronald Layne, Manager of Data Quality and Governance, George Washington University
Abstract: Organizational information is a valuable asset and must be maintained and protected as such. It is vital to have accurate, trusted data in order to make sound decisions at all levels of an organization. Data governance at the George Washington University helps to provide data transparency and results in confidence among university faculty, staff and management to trust and rely on data for information and decision support.
In this session you will learn:
· How to ensure strong organizations support for data governance
· How to strike a mutually beneficial relationship between data governance and business intelligence
· Lessons learned from operationalizing data governance and data quality at the George Washington
Data Governance in the Age of Big Data
Speaker: Mark I. Johnson, Strategic Data Management and Analytics Executive Leader, Fusion Alliance
Abstract: Data in the digital, omni-channel world, like blood in the body, has become the life-force. Smart mobile devices, wearables, and sensors have fused human behavior into the grid morphing the sources, variety, volume, and velocity of data available to the organization.
Ensuring that the data needed to power the enterprise is “fit for purpose”, and available where needed, when needed, and in the form needed in the age of “data everywhere” has generated new challenges for Data Governance. Cost optimizing the intersection of Data Quality and Timely Access is key to maximizing ROI in the age of Big Data. What does this mean for Data Governance? How are leading organizations meeting this challenge as the data landscape continues to expand? What are the priorities for maximizing the value of, and return on data and analytics? This presentation will shed some light on emerging solutions to these challenges.
Using Microsoft’s Acquisition of LinkedIn as a CDO Blueprint for Modern Data Management
Speaker: Ramon Chen, Chief Marketing Officer, Reltio
Abstract: Ever since Microsoft announced the acquisition of LinkedIn there have been no shortage of opinions on where the real value lies. Opinions range from improving CRM, monetizing data, increasing advertising revenue, to leveraging personalized insights for Cortana to generate recommended actions. The clues point to a data management architecture LinkedIn has parlayed into managing and supporting 433M users and growing. LinkedIn users get constant personalized contextual information and guidance, in an easy-to-use interface that requires zero training, with new features on a regular cadence, available seamlessly in the cloud.
Whether you’re a CDO, CIO, or line of business owner, join us as we discuss how enterprises can give your frontline business users the same agile and nimble capabilities. We’ll explain in plain english, how data as a service, master data management, data quality and governance, graph and NoSQL databases, machine learning and analytics, and data-driven applications are all part of the mix. You’ll learn how you can get the same benefits Microsoft has acquired, by following LinkedIn’s blueprint without having to spend $26.3B.
Session 6C – CDOIQ Silver Sponsors Presentations: 45mins each Location: E51-149
Real World Big Data Use Cases – What other CDO’s are already doing with Hadoop
Speakers: Christopher Moore, Senior Solutions Architect/Engineer, Trifacta; & Steven Totman, Big Data Subject Matter Expert, Cloudera
Abstract: Experts from Cloudera and Trifacta will discuss and explore real world use cases of Big Data Monetization:
· How Hadoop is being used for Fraud, Risk, Customer Journey (360/MDM) and Cyber Security
projects already in production.
· Infonomics (credit Gartner) can be part of your Big Data maturity roadmap as you create a Fast,
Easy, Secure Enterprise Data Hub / Data Lake based on Hadoop to modernize your data
Journey to a Centralized Hub: Customer Case Studies
Speaker: Afshin Lotfi, Vice President of North America, Ataccama Corp.
Abstract: Ataccama will present two real world case studies that will focus on the journey of two organizations that have established a centralized hub for their enterprise data. In the first use case, City Government, the objective of the solution was to create a data-sharing hub and a single view of Legal Entities (across all different governmental departments) by implementing a transactional Master Data Management (MDM) across multiple domains. The solution enabled efficient and effective sharing of a common view of all shared information and entities, ensuring consistency and completeness of this information while avoiding redundancy.
The second use case, Passenger Airline, will describe a major Reference Data Management (RDM) initiative that enabled the business units to maintain a consistent representation of reference data across all departments and databases in their organization. This use case will cover the initial RDM objectives and requirements, present the main data governance issues prior to RDM implementation, describe how these issues were resolved, and how the solution allowed for a successful collaboration between IT and business users.
The presentation will also identify the common denominators that allowed for the successful implementation of both solution.
Developing a Successful Data Monetization Strategy
Speaker: Andrew Hickman, Vice President of Applied Research, Experian DataLabs
Abstract: Almost every modern enterprise (businesses, healthcare providers, government agencies, etc.) that interacts with consumers generates an electronic “exhaust” of records reflecting those interactions. These, in turn, reflect some aspects of those consumers’ behaviors, preferences, and needs. Rendering those raw observations into consumer insights which can be monetized—whether internally or externally—is the “Big Data” dream. But getting there requires a strong foundation of data hygiene, sensitivity to data privacy and regulation, linkage, and enrichment with outside sources. Data science can then be layered on top to not only answer complex questions with sophisticated analytic techniques, but also help you ask the right questions at the right time.
Key takeaways from the session will include:
· Tips for improving your data quality
· Tactical recommendations for creating a monetization strategy
· Real-world examples of organizations that are monetizing their data effectively today
Session 6D – CDOIQ Silver Sponsors Presentations: 45mins each Location: E51-151
Big Data’s Starring Role in Next-Generation Information Architecture
Speaker: Paul Terry, CEO, PHEMI Systems
Abstract: One of the CDO top priorities is capitalizing on explosion of data available to their organizations today. And, while Many CDOs are considering big data for its agility and cost advantages, many are questioning how best to leverage this still nascent technology. This session will examine where big data can, and should, play a starring role in the enterprise – breaking down data silos, transforming new data types into analytics-ready assets, and bringing new data science capability to the organization and where it can enhance existing solutions. It will explore the power of extensible metadata to not only enable data governance but to make data more accessible, faster. Industry use cases will illustrate how production-ready big data solutions can help CDOs rapidly drive business change while paying their own way by enhancing current analytics and BI processes.
“You’re the New CDO, Now What?”
Speaker: Joe Caserta, President, Caserta Concepts
Abstract: There is an overwhelming list of expectations – and challenges – in this new, emerging and evolving role.
In today’s session Joe’s talk focuses on:
1. Defining the CDO title
2. Outlining the skills that enhance chances for success
3. Listing all the many things the company thinks you are responsible for
4. Providing an overview of the core technologies you need to be familiar with and will serve to
ultimately support your success
5. Presenting a concise list of the most pressing challenges
6. Sharing insights and arguments for how best to meet the challenges and succeed in your new role
The ‘D’ in CDO Stands for Disruption, not Data
Speaker: Peter Wang, Founder and CTO, Continuum
Abstract: Modern businesses must cope with both a growing deluge of data, as well as increasing technology churn. It’s becoming more clear every day that these are only the precursors to much larger scale disruption.
Data science is a team sport. CDOs need to work with and align the business and executive team. More importantly, they need to deliver the value of advanced analytics to across the organization. In order to manage the governance of data and the practice of analytics, a modern CDO must see herself as a coach and not a referee. You can’t create insight, but you can create a fertile ground for insight and empower people to be insightful. As a coach, her job is to enable agile, data-driven capability across the business, by drawing upon—and inspiring—innovations in the emerging field of data science.
Many existing paradigms of data governance run the danger of creating even taller technology silos that drive wider gaps between stakeholders. The most important role of the CDO in a data-driven business is to empower everyone to play data science as a team sport.
In this talk, we’ll discuss exciting new data science technologies and how to integrate many disparate data systems, while providing rich advanced analytics and visualization—all in the context of sharing insights and collaborative data exploration.
· Aligning and empowering data-enabled individuals, rather than a data-enabled business
· CDO is no longer just about “managing” data, but rather about enabling bi-directionality
· Enabling your organization to play data science as a team sport and see better returns
From Cost Center to Profit Center – Data Management Best Approaches
Speaker: Todd Hinton, Vice President of Product Strategy, RedPoint Global
Abstract: With effective data management, CDO’s have the power to transform data into valuable assets within their organization. In this session, attendees will learn the Data, Insight, Action model that RedPoint’s customers are using to monetize their data assets. Real-world case studies on the impact of this approach will also be examined.
CDOs will leave with a deeper understanding of the role maximizing the value of data has on their organization’s market orientation as well overall marketing function and the resulting improvement in business performance. Data-driven engagement is not just about marketing, as attendees will learn in this session. Participants will also gain new insight into Master Data Management on Hadoop, and whether the Hadoop approach is right for their organization.
6:00-7:15pm Symposium Reception Location: Ting Foyer
Thursday, July 14
7:45-8:45am Location: Ting Foyer
Continental Breakfast & Registration
8:45-10:00am Session 7 Location: Wong Auditorium
Opening Remarks: Robert Lutton, Lead Co-Chair – MIT CDOIQ Symposium
Day 2 Keynote
“Four Eras of Analytics, Four CDO Roles”
Keynote Speaker: Tom Davenport, Distinguished Professor at Babson College; Research Fellow, MIT Initiative on the Digital Economy; & Senior Advisor, Deloitte Analytics
Abstract: There have been four different approaches for applying analytics to business over the last half century. Some organizations still practice Analytics 1.0—the era of traditional, hypothesis-based analytics—while others are actively pursuing Analytics 4.0—also known as the Cognitive Era. In this presentation Tom Davenport will describe the attributes of each era, the drivers of era change, and the archetypal roles for Chief Data Officers in each era. He will also provide examples of some 3.0 and 4.0 organizations and will discuss both the value they are achieving and the business, technology, and human issues with which they are wrestling. The presentation will furnish both motivation and guidelines for organizations wanting to move to the next era.
10:00-10:30am Coffee Break & Networking
Session 8A Location: E51-149
Institutionalizing Chief Data Officers
Chair: Dr. Richard Wang, Director, MIT CDOIQ Program
Natalie Evans Harris, Senior Policy Advisor, White House Office of Science and Technology Policy
John Talburt, Professor of Information Science, UALR Donaghey College of Engineering and Information Technology
Lawrence E. Whitman, Dean of the Donaghey College of Engineering and Information Technology, University of Arkansas at Little Rock
Abstract: MIT has pioneered the field of Information Quality. Through its annual International Conference on Information Quality (ICIQ) held consecutively since 1995, MIT has coalesced an active community of researchers and practitioners that have defined the field of Information Quality. One of the most important and tangible benefits of their work has been the creation of the first Information Quality Graduate Program hosted by the University of Arkansas at Little Rock (UALR). Since its inception in 2006, the UALR IQ program has graduated 14 PhDs in IQ and more than 140 master’s graduates. Employed in many different organizations in a variety roles, these graduates are institutionalizing information quality and governance as a business function.
A similar evolution is taking place around the role of the Chief Data Officer (CDO). In 2007, MIT created the Chief Data Officer and Information Quality Symposium (CDOIQ). Even though information and data quality, data governance, and other programs have proved to be competitive differentiators for data-driven enterprises, these program are the most successful and effective when they support an overall data strategy. Strategy requires leadership and data strategy is increasingly being placed in the hands of the Chief Data Officer. Just as academia, government, and industry worked together to institutionalize information quality and governance programs, a similar effort is needed to define and support the CDO role.
The panel today will discuss what work has already been done, and seeks input from the conferees on building a roadmap to more fully define and institutionalize this important leadership role.
Session 8B Location: E51-145
Data Risk, Valuation and Data Insurance – Panel on Data Insurance
Chair: Jim Short, Lead Scientist, San Diego Supercomputer Center, University of California San Diego
Ben Beeson, Cyber Risk Practice Leader, Lockton Companies
Garin Pace, Cyber Product Leader, Financial Lines & Property, AIG
Barry Rudolph, CEO, VelociData
Manuel Terranova, President & CEO, Peaxy, Inc.
Steve Todd, Fellow, EMC
Abstract: Data is increasingly central to business success. With rapidly growing data volumes, firms must address escalating capacity, access and performance issues, placing pressure on data officers to know exactly what data is of most value to users, and how best to classify and manage that value. Indeed, recent industry surveys demonstrate that while business and IT professionals recognize the importance of managing data according to its business value, less than a third are attempting to do so.
Our panel speakers will address both data valuation and the growing market for cyber risk and data insurance. Panelists will engage with conference attendees on:
· Actionable ways to define and communicate the business value of data to key stakeholders
· Present use cases on approaches companies have taken to classify data according to its value,
including plans to instrument their IT systems to track, monitor and make decisions based on value
· Gain insights from how insurers are addressing cyber perils that are moving beyond data security
and privacy liability to include property damage, business interruption and bodily injury
Session 8C Location: Wong Auditorium
CDOs in Action – Panel Group Discussion
Chair: Laura Hahn, Director of Data Program Planning and Delivery, TD Ameritrade
Martin Brunswick, CDO and Interim CIO, Voxent
Dr. Michael C. Kelly, Chief Data Officer, University of South Carolina
Daniel Morgan, Chief Data Officer, United States Department of Transportation
Adele Pugliese, AVP of Risk Data Management, Great West Life Assurance Company
Ranjana K. Young, Chief Data Officer, Northern Trust Corporation
Abstract: Join us to hear a multi-faceted panel discuss their evolving role as data leaders.
· Topic 1: The evolving role of regulatory and compliance considerations in your data program
· Topic 2: Quantifying benefits from your data program
· Topic 3: Improving the data, monetizing the data, and balancing the two
· Topic 4: The common challenges across seemingly disparate industries
Session 8D Location: E51-151
Perspectives on Evolution of the CDO Role – Panel Discussion
Chair: Randy Bean, CEO and Managing Partner, NewVantage Partners
John Bottega, Senior Advisor – Chief Data Officer Forum | Data Management Practice, EDM Council; & Principal, Data Management Advisory Services, LLC
Gene Leganza, Vice President Research Director, Forrester Research, Inc.
Mark Ramsey, Chief Data Officer, GlaxoSmithKline
Richard Wendell, President, International Society of Chief Data Officers
Abstract: The Chief Data Officer is a new and evolving role. Learn from experts who are on the front line of shaping the chief data officer role. How is the Chief Data Officer role evolving? How will Chief Data Officers move from “defense” to “offense”? What will the role of the Chief Data Officer look like in the coming years? What are the obstacles to success and business adoption? What can Chief Data Officers be doing today to ensure maximum business impact and organizational success?
12:00-1:00pm Lunch & Networking Location: Ting Foyer
Session 9A Location: E51-145
CDO Trends – The 10,000-Foot View
Chair: Paul Gillin, B2B Social Media Strategist, Paul Gillin Communications
Jamie Popkin, VP & Distinguished Analyst, Gartner, Inc.
David Kiron, Executive Editor, Sloan Management Review
Stuart Miniman, Principal Research Contributor, Wikibon
Abstract: The Chief Data Officer role has tremendous momentum – but to where? The CDO function is still in its early stages, and roles and responsibilities vary widely across different organizations. Will the CDO position eventually supersede the CIO in strategic importance, or will it be subsumed into the IT organization? How are world-class companies refining the concept of an executive data steward? How should CDOs interact with other corporate officers? Our panel of analysts and industry-watchers discuss the trends they’re seeing across a broad range of organizations.
Session 9B Location: E51-149
Government Could be the Mother of Your Data
Chair: Liz Rowe, State Chief Data Officer, State of New Jersey
Barbara Cohn, Chief Data Officer, New York State
Sam Edelstein, Chief Data Officer, City of Syracuse, New York
Daniel Morgan, Chief Data Officer, United States Department of Transportation
Abstract: The government is a primary source for a huge amount of data and the front lines of innovation around open data and customer engagement. Learn from Federal, State and Local CDOs, how leveraging open data and public private partnerships can be of benefit.
Session 9C Location: E51-151
Jim Gilligan, President & CEO, Blue Cross Life
The State of Financial Services and Implications for Data Management for CDOs & CDTOs
Abstract: Initially, we will consider the challenge of fulfilling regulator requirements, prescribed by Basel 2 on data aggregation in the Canadian banking space by 12/31/16. We will also show how this will presage the same likely requirements for insurance companies in the coming years.
We will then look at the challenge that insurance companies have regarding managing the quality and consistency of messaging through the enterprise to the board. Consideration will be given to any role the CDO might play in this potential quagmire with particular focus on whether he/she should be in the value chain and whether any new vigilance in this area might give rise to a proliferation of new sources of truth.
Finally, we will consider the future of the industry and what role the CDO/CDTO might play. In the insurance industry, the innovator’s dilemma will be to follow the disruptors who will most assuredly attack the “soft underbelly” of a large abandoned/underserved segment of the traditional insurance space through extraordinary customer centricity enabled by a transformed, digitized platform or to focus on existing business and customers with enhanced innovation and protect that space. In either case the role of the CDTO will likely grow in prominence and give rise to strategic collaboration with the CDO.
2:30-2:40pm Coffee Break & Networking
2:40-3:00pm Session 10 Location: E51-145
SIG Forum: 10 minutes each
· Financial Services
· Health Care
3:00-3:45pm Session 11 Location: E51-145
Town Hall Meeting – Open Discussion
Co-Chair: Jim Gilligan, President and CEO, Blue Cross Life Insurance Company of Canada; & Arka Mukherjee, Founder and CEO, Global IDs
Symposium Co-Chairs: Dr. Richard Wang, Director, MIT CDOIQ Program; & Robert Lutton, Lead Co-Chair – MIT CDOIQ Symposium
For any questions or suggestions with regard to the Agenda, please contact Dr. Richard Wang at firstname.lastname@example.org