For the fourth year in a row, Hannah Sanford of Hannah Sanford Studios wowed the crowd at the Enterprise Data World Conference by graphically recording many of the key conference sessions. Her illustrations present a visual storyboard of the primary elements discussed during a given presentation, with the most important points detailed in a fascinating visual flow across the large murals. Hannah does her work in real time as the sessions are presented.
Please enjoy Hannah’s finished creations in the slides below:
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There were 20 different illustrations created during the conference:
- In the opening keynote, Big Data, Disruption, and the 800-Pound Gorilla in the Corner, Michael Stonebraker, Adjunct Professor at MIT, discussed the various problems associated with Big Data, the continued growth and eventual omni-presence of Machine Learning, and issues around data integration with such a huge variety of systems.
- Andrew Sohn, the SVP of Global Digital and Analytics at Crawford, presented many ideas about critical Data Management practices, implementing logical integration techniques, and how to better create revenue with data in his session titled Using Data Management for Business Advantages.
- In their session The Heart of Digital Transformation: Governance, Scott Buckles (a Business Unit Executive at IBM) and Raj Thejaswi (the Managing Director of Enterprise Data Governance and Management at State Street Corporation), talked with attendees about how to transform their companies into data-driven enterprises. “Know, trust, and use your data,” they advised, but also emphasized that such pronouncements needed to have a specific plan.
- George Yuhasz, the Director of Enterprise Data Architecture and Strategy at Johnson & Johnson, really brought the idea home of generating value in a data program during his presentation Evolving Your Data Program from Cost Center to Value Generator. He discussed the many variables around delivery vs. framework, effectiveness, real value, and much more.
- In Data Architecture: The Foundation for Enterprise Architecture and Governance, Ron Huizenga, the Senior Product Manager at IDERA and a huge Winnipeg Jets fan (that’s not actually true, but I had to put it in anyway – thanks Ron!), talked about the intersection between Data Architecture and Data Governance. He examined why organizations need Data Architecture, different frameworks, and how good Data Governance is essential.
- Teradata Senior Consultant Vinay Badigar and Senior Enterprise Architect Teemu Mattelmäki presented a detailed approach to metadata during their session titled Metadata-Driven Development. They discussed how to look at metadata as a business problem, leveraging metadata as an asset, and how to implement a fact-based governance approach.
- The panel discussion titled You Are Liable for Not Establishing a “Common Vocabulary” in Your Organization! was a huge success with the large audience of attendees. It featured a courtroom-style panel, with lots of laughs to go with it: Ron Klein, the Global Data Governance Leader of Royal Bank of Canada; Laura Sebastian-Coleman, Data Quality Lead at Aetna; Danette McGilvray, the President and Principal at Granite Falls; Len Silverston, the President of Universal Data Models, LLC; Katherine O’Keefe, Data Governance and Privacy Consultant at Castlebridge; and Thomas Redman, the Founder and President of Data Quality Solutions.
- Amon Drori, the CEO and Co-Founder of Octopai, discussed how “Metadata Management means different things to different companies,” during his session The Many Faces of Metadata Management: From Data Catalogs to Data Governance to BI Operations. He presented many key facets of the practice through the lens of data catalogs, Data Governance, and BI operations.
- In her session Data Categorization for Data Architects, Karen Lopez, the Senior Project Manager and Architect at InfoAdvisors, asked and answered some primary questions around data categorization, such as: “Do you know all the data resources in your enterprise? Do you know what data they contain? How do end users find and use data?”
- Sara Willovit, Co-Founder of Data Karma, presented a case study titled Using Data Quality Pilot to Launch Enterprise Data Governance and Stewardship: A Real Roadmap on how global publishing company Wiley “conducted a Data Quality initiative and used it as a foundational building block for implementing a business-value-added Data Governance program from the ground up to govern product data across the enterprise.”
- In his session The Most Popular Approaches to Harvesting Data Lineage: What Lessons Have Been Learned? Jan Ulrych, the VP of Presales at MANTA, discussed the importance of data lineage, what lessons can be learned from the practice, and how an organization can develop a solid data lineage practice.
- The roles of enterprise architects are expanding as organizations are working to build more strategic enterprise data and analytic initiatives. In his session Rising to the Challenge of Enterprise Data Architect Leadership, John O’Brien, the Principal Advisor and CEO at Radiant Advisors, discussed the importance and growth of the enterprise architect role in the modern world of data challenges.
- This mural presents the two keynote presentations from Wednesday afternoon. First, Laura Sebastian-Coleman, a Data Quality Lead at Aetna, talked about her many adventures editing the DMBOK2 in her presentation titled There’s Nothing You Can Know That Isn’t Known: What I Learned From Editing the DMBOK. Next up was Bad Guy Hunting: Finding Weak Signal in Big Data, by Jeff Jonas, the Founder, CEO, and Wizard of Big Data at Senzing. During this keynote, Jeff looked at the practice of entity resolution through the lens of “context computing in the hunt for criminal activity with a focus on Big Data and bad guy hunting in the financial services sector.”
- In his session Socializing Data Governance, Mark R Horseman, the Enterprise Information Management Coordinator at Northern Alberta Institute of Technology (NAIT), detailed the process his team went through when engaging the business with their Data Governance program, and the various pitfalls, successes, and issues dealt with.
- Gretchen Burnham, a Data Management Consultant at First San Francisco Partners, discussed why “defining data from a business perspective is a fundamental step in the Data Governance journey for any organization,” in her session Resolving Data Definition Conflicts: A Practical Guide.
- During the closing keynote panel discussion, Looking Forward: Challenges and Opportunities for Data in the Year Ahead, John Ladley, Principal at Sonrai Solutions, acted as MC and asked a number of questions about what the biggest challenges in Data Management are going into the future. He also took questions from the audience and each of the panel of experts then gave short answers. The panel consisted of Asha Saxena, the CEO of Aculyst; Danette McGilvray, the President and Principal at Granite Falls; and Anthony J. Algmin, the Practice Lead at First San Francisco Partners.
- This illustration features six talks around Data Governance: Transformational Stewardship Training – Tying Stewardship Training to Projects by Andrew C Chalmers and James A. Sizemore of Tokio Marine North American Services; What Has the Catalog Ever Done for Us? Governing the Data Lake by Pat G O’Sullivan and Satyajeet Raje of IBM; Designing and Implementing the Interface Between Data Stewardship and Data Governance by Duncan C Munro and Helen Welborn of Seattle Public Utilities; Data Analyst Governance by Michael McMorrow of MMM Data Perspectives Ltd; Top Down or Bottom Up? A Practical Data Governance Approach to Generate Business Value by Chen Liu at DGWorkshop (Beijing) Technology Consulting Co., Ltd.; and Targeted KPIs in Data Governance by Sherine Anis of Quovadis.
- This collection of six sessions on Data Architecture and Data Modeling looks at both areas in many different details: How I Learned to Stop Worrying and Love My Data Warehouse from Glenn Carney of The IQ Studio, and Mark Molnar and Peter Aiken of Data Blueprint; Concept Engineering with Ronald G. Ross of Business Rule Solutions, LLC; DataOps and Modern Data Architecture by Eric Estabrooks of DataKitchen; Using Legos to Build A Data Architecture by Scott Benson of Plus3 IT; Add Spark to Your ETL from Avinash Sawant and Brett Starr of Cincinnati Insurance Company; and Who Needs a Canonical Model Anyway? by Kristin M. Love of GSK.
- An assortment of four talks around the topics of Data Strategy and Data Leadership: Get Your Data Strategy Project Funded! from Naveen Pinjani and Amir S. Charania of Daugherty Business Solutions; The Leader’s Data Manifesto with James Price of Experience Matters, Danette McGilvray of Granite Falls, and Thomas Redman of Data Quality Solutions; Scorecard Technology: Creating and Sustaining High-Performance Organizations Through Accountability from Paul Campbell of Competitive Solutions, Inc.; and Don’t Let Your Data Monetization Effort Cost You an Arm and a Leg from Mark Lorence of Ironside.
- This final illustration presents four separate sessions around the themes of new technologies such as blockchain, graphs, and ontologies: Benefiting from Semantic AI Along the Data Lifecycle by Martin Kaltenböck of Semantic Web Company; Using Process Robotics to Climb the Data Management Maturity Summit by Emily Parrish and Christopher Rose of Deloitte Consulting LLP; Can Privacy Exist with Machine Learning? from Matt Vogt of Immuta; and Open House in the Metadata Science Lab by Thomas Frisendal of TF Informatik.
To learn more about the full EDW 2019 program and bios of the speakers, click HERE>>
Photo Credit: Jeff Kempe Photography