March 21 – 23

Houston

Day One
Wednesday March 22 2017

Day Two
Thursday March 23 2017

Optimizing Data Quality across the Value Chain

08:40
Chair’s Opening Remarks

  • Mark Reynolds Senior Solutions Architect Technical E&P Applications, Southwestern Energy

08:50
Keynote Presentation: Incrementalism vs Digital Darwinism in Information Management & Analytics

  • Trond Ellefsen Special Advisor Strategy and Former CIO, Statoil North America

Synopsis

The oil and gas sector is lagging behind other industries with the pace of digital adoption. Operators are missing a huge opportunity to drive real cost savings and operational gains. This session will kick off the conference through taking a big picture strategic look at future strategies for driving business value in a data-centric world.

  • Incrementalism or shaking things up? Cost effectively driving better value from your resources through data and analytics roadmaps that enables business-critical analytics
  • Gap analysis to build on the ‘digital foundations and plumbing’
  • Open data vs proprietary data to provide a solid foundation for information architecture that runs across different functional silos
  • Building relationships between structured and unstructured information from different sources through Machine Learning and other technologies
  • Showing the return on investment from data-driven decision making

09:30
Data Management in the Era of Data Lakes, Hadoop & Self-Serve Analytics

  • Ken Dunn Senior Enterprise Architect – Information and Data, BP

Synopsis

  • Exploring how data management must change with the times: Challenges in the new big data world and relating these back to the DAMA data wheel
  • Changing the implementation and focus even though the fundamentals are the same as ever
  • Understanding the importance of keeping a good catalog of your Hadoop as well as traditional data and tooling options available to help with this area
  • Establishing processes to convert one-off analytic successes into a sustainable institutionalized value stream

10:10
Speed Networking & Morning Refreshments

11:10
Life at a “60-Year Old Start-Up”: Re-Thinking Data Architecture to Simplify & Standardize

  • Travis Osborne IT Director Information Management, Apache Corporation
  • Mark Ritch IT Manager of Analytics, Apache Corporation

Synopsis

  • Alignment of industry changes, new organizational priorities, and IT activity focus
  • Standardize definitions and resources available to users then simplify the environment to speed time to market and reduce costs
  • Employ data utilities to enhance value from analytics
  • What we are learning that every day that start-ups already know

11:50
Assessing the actual value of cost savings to the industry of standardized and trusted data

Synopsis

  • How can improved data quality and standards increase the productive time of Information Managers and end users of data?
  • Supporting the transfer of structured and unstructured text and binary data in the heterogeneous oil environment
  • Delivering real cost savings and increased efficiency in the current downturn
  • Energistics’ suite of standards for drilling, production, and earth model data sets
  • How standards adoption creates Business Value for individual companies and for the industry as a whole

12:30
Lunch & Networking

Developing a Stronger Data Governance Culture & Ownership of Data

13:50
Moving on from Information-As-An-Asset: How Do You Practically Embed Data Ownership across the Business?

  • Chris Bradley Inaugural Fellow DAMA-I and Former Data Strategist, BP

Synopsis

  • ‘Data’ now as ‘Health & Safety’ was 10 years ago. Engendering responsibility for better data across the business
  • Showing the value of trusted data to business units and management through a focus on their KPIs, the ultimate ROI and promoting business-side data stewardship
  • Aligning consistent data across assets and regional teams
  • The balance of clean data to get analytics, or delivering the tool first to make it compelling for management and show the competitive advantage possibilities from better analytics
  • Initiatives to promote better skills in the data management field

14:30
Panel Discussion: Perspectives on Data Governance, Managing & Computing With “Big Data” from Other Industries & Government

  • Donald (Rick) McMullen Associate Director, HPRC, Texas A&M University
  • Chris Bradley Inaugural Fellow DAMA-I and Former Data Strategist, BP
  • Ankit Lodha Analytics Operations Lead in Clinical Systems and Analytical Reporting, Amgen

Synopsis

  • Overcoming economic and governance issues for in-house department-level computing and data management, centralization, and outsourcing to cloud services
  • Enabling better decision-making across assets through remote operating centers, centralized vs decentralized data, better access to real-time operational information
  • Securing buy-in and a culture of ownership from end-users for the new normal of data use
  • Examples from the public sector: e.g. USDA, NIH, e-government and other industries: Pharma, Healthcare, Agriculture, and Manufacturing

15:30
Afternoon Refreshments

16:00
Embedding culture of data ownership and uptake from end users in a data-centric world

  • Pilar Coral Reserves Process and Analytics Lead, California Resources Corporation

Synopsis

  • Incentivizing data stewards and custodians to own and drive the data quality journey: Securing buy–in to continuous quality improvements
  • Driving support for better information and analytics uptake through the business-side engineering team assessing and promoting capabilities
  • Promoting ownership across the value chain and ensuring job functions within operations have right access to that data
  • Establishing governance around quality to ensure data stewards oversee critical data and data types that are important to core processes
  • Aligning data governance to culture of the company: Centralized versus decentralized

16:40
Panel Discussion: Bridging the Gap between the Business Side, Information Management & IT to Communicate Shared Knowledge

  • Chris Josefy Manager, Business Solutions, EP Energy
  • Pilar Coral Reserves Process and Analytics Lead, California Resources Corporation
  • Chaimie Riley Executive Director of Marketing, Houston Energy Data Science

Synopsis

  • Data management, analytics and information systems working together to promote a
    unified data governance approach that drives value across the business
  • Securing confidence in data from management and information users by showing the
    data truly represents what’s going on in the field
  • The evolving role of data science and empowering data scientists on the fundamentals of
    petrotechnics and petrotechnical engineers on emerging tools such as machine learning
    to more closely align skillsets
  • Where does the role of IT fit on the information management journey?
  • Running lean and mean: Opportunities and threats from the impact of the current staffing crunch on role overlaps
  • Using production success as a feedback loop to determine future data prioritization

17:20
Chair’s Summary and Close of Day One