Exploiting Data Capital for Organizational Performance

The 11th Annual MIT Chief Data Officer
& Information Quality Symposium


Location: Massachusetts Institute of Technology
Tang Building (E51), MIT East Campus
70 Memorial Drive, Cambridge, MA, USA 02139
Dress Code: Business casual
Wednesday, July 12, 2017– Friday, July 14, 2017
Contact: Richard Wang rwang@mit.edu


 Wednesday, July 12, 2017

12:00–1:00pm Registration E51- 3rd Floor
1:00–4:30pm Session 1
2:30–3:00pm Coffee Break & Networking
Session 1A Title: Machine Learning and Advanced Analytics: What a CDO Needs to Know

Chair:  Dan Everett, Senior Director, EIM Solution Marketing at SAP


  • Milind Kamkolkar – Chief Data Officer at Sanofi
  • Nikhil Aggarwal – Head of Analytics, Financial Crime Compliance at Standard Chartered Bank
  • Vijay Venkatesan – Chief Data Officer at Providence Health and Services
  • Lester Lobo – Business Architect, Data Management and Data Science at SAP

Abstract: Industry reports show that while companies know that they must “transform into digital enterprises”, many don’t know where to begin their journey, what steps they need to take, or how to do it so they can innovate at scale and drive better business results.Many executives are grappling to make business sense of technologies such as machine learning, advanced analytics and the Internet of Things that are being touted as critical capabilities to drive digital transformation.Our panel of experts will discuss their experience in a variety of topics such asWhy having a data strategy that is linked to the business strategy is essential

The two types of people, “Quants” and “Translators” needed for success:

– The difference between descriptive, predictive and prescriptive algorithms
– The role of the C-suite in the adoption machine learning and advance analytics
– Best practices for getting started at your company
– And examples of how innovation and business value are being realized
– The panel discussion will be followed by a question and answers session and the opportunity to network with peers.

Session 1B

Title: Planning and Executing a GDPR Data Privacy project

Chair:  Arka Mukherjee – CEO, Global IDs


Abstract: The EU General Data Protection Regulation (GDPR) demands that organizations protect personal data and guarantee data privacy to individuals from the European Union. All organizations that possess data about EU citizens are subject to the regulation.Spurred by a May 2018 compliance deadline and the threat of a significant penalty, many organizations have started planning and executing their GDPR projects. Many CDOs have also realized that GDPR presents a unique opportunity to improve and modernize their data environments.Our panel of experts will discuss their experience in leading the GDPR compliance initiatives in some of the world’s best known organizations. The panel discussion will be followed by Q&A session and a networking session.

Session 1C

Title: The CDO Toolkit: Exploiting Data Capital for Performance, Risk and Audit
– Reducing Constraints to Business Performance
– Mitigating  Risk for Regulatory Compliance
– Enabling Forensic and Preventative Auditing

Chair: Robert Lutton – MITCDOIQ Symposium Lead Co-Chair


Peter Aiken, Present Founder, Data Blueprint

Melanie Mecca, Director of Data Management Products and Services,   CMMI Institute

Don Soulsby, Vice President Architecture Strategies, Sandhill Consultants

Abstract: Working in data has seemed a constant struggle on many fronts:  justifying programmatic investments, asking organizations for education initiatives, balancing people and process against technology, etc.  This session articulates the ‘firepower’ (needed knowledge, skills, and abilities) that organizations and data leaders need to succeed at data.

Revolving around (the) five core practice areas of the Data Management Maturity Model – Strategy, Governance, Quality, Operations, Architecture (technologies) – CDOs need to clearly articulate how accomplishments in these areas yield both operational improvements and increased capabilities to achieve business goals.  We will examine how these best practices, individually and in combination, equip organizations to succeed with their data assets.

Organizations today, have an ever increasing volume of data to consider. This session will also highlight how to point out the bright spots in what appears to be an infinite number of points of light. These Critical Data Elements come from a focused approach that starts with the controlled vocabulary of the business. The priorities are set by the business needs for governance from regulatory requirements, market conditions and disruptive technologies.

Session 1D Title: Financial Services CDOs Roundtable: Lessons Learned and Shifting from Survival to Success

Chair: Richard Inserro, Partner, PwC

Co-Chairs: Bala Annadorai, Salahaldin Hussein, PwC

Abstract: At this round-table financial services CDOs will discuss the challenges they have faced as their mandate and role have grown. We will discuss lessons they have learned and what actions they took that enabled their success. Some of the themes we plan to explore will include:
– Accelerating cultural change and buy-in from senior executives, the business and IT
– How CDOs are adapting to the ever-increasing pace of technological change
– Measuring success and ROI as CDOs’ remit expands from regulatory compliance to data monetization and value-add initiatives to the business

4:30–6:30pm Self-Organized Meet & Greet Off-Site




Thursday, July 13, 2017

7:45–8:45am Continental & Hot Breakfast, Registration Lower Level of Ting Foyer
8:45 -10:30am Session 2  
Session 2A


Dr. Richard Wang, MIT CDOIQ Program & Dr. Stuart Madnick, MIT Sloan School of Management

Opening Remarks Symposium Co-Chairs

  • Robert Lutton, Sandhill Consultants
  • Additional Co-Chairs: Peter Anlyan, David Blaszkowsky, Dan Everett, Patrick Minton, Arka Mukherjee, Kimberly Sanders, Jim Short
  • Media Chair: Paul Gillin, Paul Gillin Communications
  • Proceedings Chair: Bruce Milligan, Citizant

isCDO Award Presentation
James Meng, isCDO Award Committee Chair

Institute for Chief Data Officers – UA Little Rock jointly with MIT

Speaker: Lawrence Whitman, Dean, UALR Donaghey College of Engineering and Information Technology

Wong Auditorium
Session 2B


Day 1 Keynote: 

Title: A Journey to Transform Insurance Industry Using Data Science

Keynote Speaker: Sid Dalal, Chief Data Scientist and Senior VP, Advanced Research and Technology Science, AIG, Inc,

Abstract: Insurance industry is going through a major transformation. Availability of “big data”, new analytics, and state of art real time computing has changed the paradigm of risk selection, segmentation, mitigation and investments. Statistical and machine learning models are changing the traditional analytics used in the insurance industry. With the increased ability to collect and analyze real time data, the industry is entering a new phase based on real time probabilistic risk-analysis. I will illustrate this new paradigm in the context of managing risks associated with complex systems. Analyses depend all the way from small sets of data to terabytes of data using sensors, to medical information about drugs and chemicals. In this talk I will discuss a number of challenges in creating unified decision systems from a risk analysis perspectives, share some of the successes and the corresponding challenges in analytics and discuss new methods based on supervised and non-supervised learning. I also will discuss the impact of such risk analysis on public resilience policy.



Wong Auditorium

10:30–11:00am Coffee Break & Networking  Ting Foyer
11:00am-12:00pm Session 3  
Session 3A


Title: Delivering Federal Value through Effective Digital Data Strategies

Chair: Mark Krzysko, Deputy Director, Acquisition Resources and Analysis; Enterprise Information, Department of Defense


Nevin Taylor, Deputy Chief Technology Officer and initial and interim Chief Data Officer, Office of the Secretary of the Air Force

Ralph DiCicco,, Acquisition Chief Information Officer (CIO), Office of the Deputy Assistant Secretary of the Air Force

Kris Rowley, Chief Data Officer, General Services Administration (GSA)

Abstract: The role of the CDO is emerging in Federal agencies.  There are various interpretations seen in the varying titles and responsibilities, but one thing is clear:  effective data strategies are delivering value in the Federal government.  In this panel, you’ll hear from data leaders focused on identifying the right data, managing it, and using it to solve problems and derive new insights for their organizations.

Wong Auditorium
Session 3B

11:00am –12:00pm

Title: Challenges Facing the “first” State CDOs (not initially different from the private sector)

Chair: Peter Aiken, Founding Director, Data Blueprint


Jeff Bakon, CDO, State of Massachusetts
Todd Harbour, CDO, State of New York
Ed Kelly, CDO, State of Texas

Abstract: Chief Data Officers (CDO) are still relatively new to government, industry, and academia. Their relative roles, responsibilities, authorities, and accountabilities vary from organization-to-organization. For states, the differences are equally pronounced and varied. Some CDOs are charged with developing analytics to help executive leadership answer outstanding strategic questions. Others focus on data governance and other foundational activities. Each panelist has newly arrived at their position via different paths. They bring with them a wide range of knowledge, skills, and abilities that will help them define their organizations and roles across state government. There are, however, some shared challenges:

– Establishing foundational practices with a decentralized operating model
– Creating repeatable practices: 80:20 division of labor
– Delivering added value through enterprise analytics (e.g., Fraud Detection)
– Realigning organizational functions and redefining the relationship between IT and business ownership


Session 3C

11:00am- 12:00pm

Title: The evolving and future role of the CDO

Chair: Randy Bean CEO/Founder, NewVantage Partners and industry columnist


Christina Clark, CDO, General Electric (GE)
Mark Ramsey, CDO, Glaxo Smith Kline
Venkat Varadachary, CDO, American Express

Abstract: While the CDO position has clearly arrived – 55.9% of firms surveyed reported having a CDO in place – the role of the CDO continues to evolve, with differing views of the mandate and organizational reporting.  A growing percentage of CDO’s are moving from the defense (regulatory and compliance reporting) to offense (innovation, revenue generation).  Our panel of leading CDO’s will share their perspectives on the present and future role of the CDO.

Session 3D

11:00am –12:00pm


Title: GDPR Best Practices for Data Deletion

Speaker: Tina Rosario

Abstract: With the European Union’s General Data Protection Regulation (GDPR) fast approaching CDOs are challenged by how to formally and completely remove information from their organizations.
In this session panel members will share their best practices for data deletion.
Topics for discussion will include:
– Identifying where the data is stored
– Determining lineage and what systems process it
– Ensuring its destruction
Come hear your peers share their best practices and share your perspectives on this important topic

12:00–1:00pm Lunch & Networking Ting Foyer
1:00-2:00pm Session 4  
Session 4A


Title: CDOs in the Boardroom

Chair: Paul Barth, CEO, Podium Data

Co-Chair: Peter Anlyan, Founding Member, Anlyan Consulting


Brandon Thomas, CDO, Zions Bancorporation
David Roux, Board Member, Boston Scientific
Joan dal Bianco, US CDO, TD Bank

Abstract: The role of the CDO has grown in prominence over the past decade.  Today, data is a topic on the agenda of many large, competitive companies, from risk and compliance to strategic competitiveness. Data is at the center of many new business trends that are fueling investment and innovation, such as IoT, SaaS, and AI.  This discussion among active board members and CDO’s will cover the concerns board members have about data, key ingredients for a healthy CDO/Board relationship, and the top data issues CDO’s think boards should understand and consider.

Wong Auditorium
Session 4B











Title: Key to Establishing a Successful CDO Data Management Platform

Chair: Kimberly Sanders, Director, Global TV Distribution Technology, NBC Universal Media


Ursula Cottone, CDO, Citizens Bank
Chauncey Holden, CSO, Citizens Bank
Brian O’ Connell, CIO, Citizens Bank

Abstract: During this session, we will discuss the suggested champions, partnerships and synergies required to successfully establish the role of the CDO and the accompanying data management platform and framework within an organization. Success begins with the alignment of key members of the leadership team and decision makers who work to clearly define the roles and responsibilities of both the CDO – Chief Data Officer and the Office of the CDO. These roles and responsibilities will assist with accomplishing the specific strategic initiatives of the given organization and will help to mitigate the risk of overlapping objectives, create autonomy and will help foster the appropriate change management required to successfully assimilate the new role into the culture of the organization. An essential partnership exists between an organizations CDO, CIO and CSO. We’ll hear from a successful trio who have designed and implemented a successful strategic partnership and roadmap for the introduction of the CDO role within their Financial Services organization. Topics of discussion will detail their path, challenges, keys to success and lessons learned along the way.

Keywords: CDO, Chief Data Officer, Data Management


Session 4C



Chairs: Jim Short, Lead Scientist & Co-founder, Center for Large Scale Data Systems (CLDS) – San Diego Supercomputer Center
Marla Capozzi, McKinsey


Chaitan Baru
Jeffery Brown
Elena Naumova


Session 4D



Title: Governance and Stewardship in the Big Data Era

Speaker: Pieter De Leenheer, Founder, VP, Collibra

Abstract: We live in the age of abundant data. Through technology, more data is available, and the processing of that data easier and cheaper than ever before. But to realize the true value of this wealth of data, data leaders must rethink our assumptions, processes, and approaches to managing, governing, and stewarding that data. And to succeed, they must deliver credible, coherent, and trustworthy data into the hands of everyone who can use it.

Please join Dr. Pieter De Leenheer, co-founder and Vice President of Research & Education, Collibra, and Barbara Latulippe, Chief Data Governance Officer, Dell as they explore what changes are happening in data, how to capitalize and exploit data assets, and what data leaders must do to make their data easy to find, easy to understand, and easy to trust.

2:00 – 2:15 Break & Networking  Ting Foyer
2:15-3:15pm Session 5  
Session 5A



Title:  Gartner’s 2nd Annual Chief Data Officer Survey Results and How to Avoid Failure

Speakers: Valerie Logan, Mike Rollings, Gartner

Abstract: Gartner surveyed Chief Data Officers and other data and analytics leaders to uncover how organizations were approaching the CDO role and the roots of success. This survey shows how the office of the CDO is pioneering a new organizational function alongside IT, business operations, HR and finance, but it also shows that success is far from guaranteed. This presentation will provide attendees with a global perspective about the responsibilities and challenges of the CDO role, as well as providing specific recommendations on how to avoid the traps that threaten to undermine success.



Session 5B



Title: Change Management

Chair: Peter Anlyan, Founding Member, Anlyan Consulting


Martin Ouiment, Partner and Managing Director, Boston Consulting Group




Session 5C








3:15–3:45pm Coffee Break & Networking   Ting Foyer
3:45-6:00pm Session 6  

Partners: Industry Solutions: Use Case Successes

Session 6A





















Title: CDOIQ Sponsors Use Cases


Title: How CDOs & CIOs are Driving Digital Transformation

Speaker: Ajay Khanna, Vice President Marketing

Abstract: Today’s business landscape more dynamic than ever. New revenue models, stringent regulations, and high customer expectations are forcing organizations to evolve or face being overrun by more nimble competitors.
CDOs and CIOs of established business are looking to digital transformation as a key initiative. But what exactly does digital transformation entail? At its core, any digital transformation requires clean and consistent data, reconciled across systems and channels. An enterprise-wide data management foundation that ensures real-time access to reliable data of all types at scale and is non-negotiable.  Data access must be democratized across all groups and divisions so that teams can get a 360-degree view of customers, products, organizations and more. However, it’s not just about disconnected siloed analytics. It’s about the next generation of operational data-driven applications that allow frontline business users to gain relevant insight and intelligent recommended actions so they can achieve their goals. This session explores how some of the largest companies in the world are transforming themselves using the same modern data management technology used by Internet giants such as Amazon, Facebook, LinkedIn, and Google.

Caserta Concepts








Wong Auditorium



Session 6B




































Title: CDOIQ Sponsors Use Cases


Title: How to transform your analytics world with DataOps:  big pharma launch case study

Speakers: Chris Bergh, CEO and Head Chef; Gil Benghiat, VP of Products

Abstract: The software industry has advanced from releasing every 12 months to every 1 second — more than one million times improvement!  In this case study, learn how to transform your data and analytic organization with the latest practices called DataOps.
For background, we look at challenges in analytics today.  Next, we examine the required areas for transformation:  1) Mindset, 2) Technical Environment and 3) Automated Data Quality.  After examining how automated quality is the key for orchestrating data to value and for speeding innovation to production, we conclude with how DataOps principles and practices work in a case study of a big pharma new product launch.
The speakers are the founders of DataKitchen and have decades of hands-on and executive management experience in data, analytics, and software development and are current practitioners of DataOps.


Title: Data Science is Just the First Step…

Speaker: Zach Carwile, Solutions Architect, Continuum Analytics

Abstract: As data science organizations mature, an opportunity is emerging to put enterprise-grade data product in the hands of the analysts who create insights, make recommendations, and generate predictions as part of everyday business processes.

In this talk, we’ll discuss strategies for industrializing data products and putting them into Production, allowing them to proliferate across your organization.

Key takeaways:

Empower data science teams with plumbing to build data products for the power analysts who drive business processes

Containerization of data science projects is a good thing — rapid iteration, no expensive code translation projects

Establish a robust deployment process: maximize the value and reach of your data science investment


Title: DaaS and Trust

Speaker: Ray Kraus

Abstract: Data has become the currency for organizations to maintain a competitive advantage. Organization must think outside of their own box (data within their walls) to harness the network effect of connected datasets. Imagine the inevitable trend and the power of combining people, processes and technology to support an ecosystem of data that generates valuable insights via DaaS. Trust is a major road block to the success of DaaS. In this presentation, we are going to how we can take proactive steps to close the chasm of trust within the DaaS platform.







Session 6C
























Title: CDOIQ Sponsors Use Cases

Sandhill Consulting





Title: Achieving Sustained Business Value with Big Data & Big Insights Programs and Initiatives

Speaker: Derek Strauss, Founder and CEO, Gavroshe USA, Inc.

Abstract: The world of Big Data & Big Insights is right now in a danger zone. There are many technological silver bullets falling out of the sky for us to try out; it is an exciting time indeed! However, for us to achieve sustainable business value with these technologies we must ensure we are giving due attention to building and maturing an end-to-end set of Data & Analytics capabilities.

But how do you effectively exploit data capital for sustained organizational performance? What is needed is an integrated approach, bringing together People, Process, Data and Technology, and embracing a comprehensive vision for Data & Analytics. Gaps in this approach, if left unattended, will certainly undermine your ability to derive ongoing value from your Big Data investments.

Based on the Gavroshe 7 Streams Play Book for Chief Data Officers™, this presentation provides insight into real life use cases, which highlight some of the key considerations for the ongoing success of Data & Analytics initiatives.





Session 6D























Title: CDOIQ Sponsors Use Cases

Trillium Software

Title: Finding Relevance in the Big Data World

Speaker: Harald Smith, Director, Product Management, Trillium Software

Abstract: Capturing and hoarding data for potential future needs is not a new phenomenon.  However, with the advent of Big Data, we face a deluge of data of high volume from known and unknown sources, with highly varied formats, and potentially very disparate meanings and uses. We’re told that “data is the new oil” and that data-driven insights are key to competitive advantage in a world where new business models are rapidly emerging.  So we capture and hoard this data, too, in our Data Lakes though with the admonition not to let them turn into Data Swamps.  And the consequence is an overload of data from which we have little understanding, multiple versions of the truth, questions around data quality, and a lot of mistrust, let alone a lack of viable insights.  That raises the critical question: “If you don’t know what you want to get out of the data, how can you know what data you need – and what insight you’re looking for?” To address this challenge, we need to consider four key steps:  framing the problem and what is relevant, understanding and evaluating data quality, determining fitness for purpose, and validating and communicating our findings.


Title: AI-first beats Product-First

Speaker: Eliot Knudsen, Data Science Evangelist


Podium Data

Title: The Well-Governed Data Marketplace: How Podium Is Helping Companies Build Data Marketplaces with Enterprise-Grade Data Governance and Security

Speaker:  Paul Barth,  CEO, Podium Data

Abstract: Podium allows companies to create a secure self-service marketplace of their data, so that new data can be delivered to the business in a day and business users can find data they need in minutes. This presentation will provide an overview of Podium and specific examples of how large companies are using Podium to implement enterprise-grade data governance and metadata management in their data marketplaces.

6:00–7:15pm Symposium Reception Ting Foyer

Friday,  July 14, 2017

7:45–8:45am Continental Breakfast & Registration Ting Foyer
8:45am -12:00pm Session 7  
Session 7A

8:45– 10:00am















10:00 – 11:00am

Opening Remarks: Rich Wang, Executive Director, MITCDOIQ Program, Robert Lutton, Lead Co-Chair

Title: Building Out the Data Infrastructure-Toward Data Drive Policy Making

Keynote Speaker:  Natalie Harris , Senior Policy Advisor to US Chief Technology Officer (CTO)

Abstract: As states continue to do more with less resources, the talents of technologists are needed now more than ever to build out the data infrastructure necessary to ensure citizens receive equitable access to the innovations the data-driven policy-making brings to communities. This talk lays out the path for creating an alliance amongst policy-makers, civic technology community, and public technologists to build data infrastructure for government that is focused on getting the right people, technology, and policies in place for data-driven policy-making. Some elements include:

–  Creation of digital ecosystem allowing for development of solutions, information sharing and collaboration

–  Development of best practice implementation frameworks

–  Creation of ROI case studies

This should result in broader, more equitable access, increased professionalism for data driven policy making, and specific training and education revolving around best practices.


Title: Data Governance in a Big-Data World

Speaker: Vikas Kapoor, CEO of Mezocliq

Abstract: The three-decade-old paradigm for managing enterprise data and technology has reached the end of its road. Stitching together best-of-breed systems without strong centralized data governance was viable in the eighties and nineties. However, as the volume and complexity of data has exploded, this loose integration model is running into severe difficulties. Good, clean data is harder to get than ever. Development times are ridiculously long. Costs are on a runaway train. Failed migrations and catastrophic outages occur with increasing frequency and security breaches are commonplace.
Mezocliq provides companies with a fresh start, leveraging a cloud architecture to reign in fragmented legacy data.
CEO Vikas Kapoor will discuss the challenges in moving from legacy systems to a big-data architecture, along with strategies for navigating the transition.

Wong Auditorium
10:00–10:30am Coffee Break & Networking  Ting Foyer
10:30–12:00pm Session 8  
Session 8A

10:30am –  12:00pm

Title: Effective Technical foundations for Federal Digital Transformation- Providing Solutions

Chair: Mark Krzysko, Deputy Director, Acquisition Resources and Analysis; Enterprise Information, Department of Defense


Dimitry Feldshteyn, Chief Technology Officer, SAF/AQXS CIO

Kevin Garrison, Principal Director and Director of Analytics, Deputy Chief Information Officer for Business Process and Systems Review,  DoD CIO

John O’Brien, Systems Engineering Lead supporting OUSD(AT&L)/ARA, Enterprise Information, Department of Defense

Kris Rowley, Chief Data Officer, General Services Administration (GSA)

Abstract: The Federal Government is in the process of a digital transformation.  The importance of data sharing remains a hot issue, and the use of data for decision-making is increasing.  Through experience, organizations are realizing that once they know what data they need, they need it to be available in a timely manner and they need it to be reliable.  Hear from technical strategists working in Federal agencies about their approaches and the solutions that are shaping the future of Federal data.

Wong Auditorium


Session 8B

10:30am –  12:00pm

Title:  Minimize Data Vulnerabilities for Private and Sensitive Data

Chair:  Don Soulsby, Vice President, Sandhill Consultants


Abstract:  The lack of consistency is the root cause of not trusting your corporate data.

Exposure of private and sensitive data is making headlines. Affected organizations suffer severe financial consequences as well as damage to public image and reputation. In this webinar, we will review ways to facilitate forensic analysis when data has been compromised and present methods of prevention to ensure that data loss does not happen, or happen again.

Learn the best practices to reduce the threat of data breaches by addressing the dimensions of Risk Management; classification, valuation, detection and mitigation. It is not just about ensuring data security, it is about trust and traceability, and the appropriate level of data governance that best illustrates an understanding of your data landscape which encompasses the what, how, who and where, of your sensitive corporate data.

We will discuss a concurrent engineering approach to both data and process modeling that allows for top down and bottom up views. We will illustrate traceability between the data and application architectures. To complete the enterprise architecture picture, we will also show how these systems are represented and linked to the security and network operating models.

Session 8C

10:30am –  12:00pm

Title: CDO sessions in Higher Education

Chair: Mike Kelly, CDO, University of Southern Carolina

Co-Chairs:  Brandon, Aldrich, CDO, Ivy Tech,
Karen Wetzel, EDUCAUSE        

Abstract: Facilitated conversation and group formation to formalize the isCDO partnership with the EDUCAUSE Higher Education CDO Working Group. The group will focus on providing a supportive and collaborative environment for CDOs and others who may not have that title but who have institution-wide responsibility for data governance and analytics.

Session 8D

10:30am –



Fusion Alliance

Title: An Information Strategy for your Company

Speaker: Mark Johnson, Data Management and Analytics Executive Leader


This is just in . . . a new report from Credit Suisse predicts that between 20-25% of the nation’s shopping malls will close in the next five years because e-commerce will continue to pull shoppers away from bricks-and-mortar retailers. Then there is this breaking news from USA Today: “Get ready. Amazon-Whole Foods deal will change how you buy food forever!” Forbes: “Analyst Says Whole Foods Competitors Are ‘Screwed’ After Amazon Deal.” Before long, like the age-old Tupperware adage, the only people who will shop at Amazon will be people who eat!

What do these trends have in common? Data and analytics. Without a strategy, roadmap and clear, focused leadership to execute, companies in a multitude of industries will go the way of Sears and Kmart at the hands of Walmart.

Join Mark Johnson, Data Management and Analytics Executive Leader at Fusion Alliance, for an informative session on developing an information strategy for your company.  You really don’t want to miss this session; the winds of change are blowing at hurricane force and they are headed for the front door!

12:00–1:00pm Lunch & Networking Ting Foyer
1:00–2:30pm Session 9  
Session 9A Title: CDO Challenges on Risk Assessment in Insurance Industry

Chair: Jim Short, Lead Scientist & co-founder, Center for Large Scale Data Systems (CLDS) – San Diego Supercomputer Center, Marla Capozzi, McKinsey


Kirk Borne, Executive Advisor & Principal Data Scientist, Booz Allen  
Russ Cohen
Steve Orrin, Chief Technologist, Intel Corporation

Session 9B Title: Connecting Data to Business Outcomes

Chair: Liz Rowe, Chief Data Officer, State of New Jersey


Jeff Bladt, CDO, DoSomething.org
Zhiwei Zhu, SVP, Data and Analytics, Swiss RE

Abstract: While most people generally believe better information helps drive better business performance getting continuing executive support for data governance is easier if you can connect data to business objectives and outcomes. In this session learn how these panelists are making those connections in their organizations.

Session 9C Title:  CDOs’ Enablers of Lean Analytics for Enterprise Innovation 

Chair: James Meng


  • Kevin Fleet, VP Informatica, will present key success factors for CDOs’. Who authored Five Imperatives for the Chief Data Officer. A field-tested approach for delivering high-value digital transformation.
  • Rebecca Shockley, IBM Institute for Business Value, who authored ANALYTICS AS A SOURCE OF BUSINESS INNOVATION. The increased ability to innovate with analytics is producing a surge of benefits across industries.
  • Bruce Tyler, VP, Big Data Practice Leader, IBM Global Business Services

Abstract: From collected experiences of many who shared their lessons learned on Enterprise Data Transformation initiatives, one can observe that there are 4 major pains of enterprise data transformation. They are: inability to transform local innovations into enterprise wide innovation; inability to achieve data transparency and systems and applications interoperability; migration to cloud did not achieve cost savings without rationalization of systems and applications first; and finally applying ADW takes so long that the data transformation initiatives frequently atrophied before results can be generated.  A cursory comparison of these pains with symptoms of early stages of industrial Lean initiatives in 1980’s, one sees clearly we are entering into a Lean Analytics era. Many transformations were not done in the right sequence and at right level of leadership and leveraging the automation tools. Many lessons were learned by CDOs, although not explicitly in light of the Lean Analytics, are useful to support CDOs to avoid these pains, and to guide CDOs in successfully carrying out data transformations.

This session is designed to bring forward lessons learned and insights from CDOs who have conducted successfully data transformation, and how they transform data analytic insights into enterprise innovations generating sustained returns. Specifically, we will present the following three Lean Analytics enablers: First, Automation for Data Standards and Applications Interoperability; Second, Tools to aid Organization Alignment in Data Integration and Data Governance; Third, Analytics for Innovation. Taking together, these three enablers will assist enterprises in their journeys toward Lean Analytics for Innovation.


Session 9D Title: Value Equation – Data Governance plus Data Analytics

Chair: John Talburt


  • Ken Yamaguchi, EVP & Chief Medical Officer, Centene Corporation
  • Shahid Alam, Staff Vice President for Enterprise Analytics, Centene Corporation
  • Chris Dahl, Sr. Director, Data Governance & Shared Services, Centene Corporation




Coffee Break & Networking

 Ting Foyer
3:00–3:45pm Session 10  
  Town Hall Meeting – All Participants

Open Discussion

Co-Chair’s: Arka Mukherjee, Chief Executive Officer, GlobalIDs – Mark Johnson, Strategic Data Management and Analytics Executive Leader, Fusion Alliance

Concluding Remarks

Symposium Co-Chairs: Robert Lutton, Lead Co-Chair – MIT CDOIQ Symposium, Dr. Richard Wang, Director, MIT CDOIQ Program,


End of the 2017 MIT CDOIQ  Symposium