1. Corvelle Drives Concepts to Completion How Project Management is Shaping the Future Of Visual Analytics 1

2. Corvelle Drives Concepts to Completion Yogi Schulz Biography  Partner in Corvelle Consulting  Information technology related management consulting  IT World Canada & Microsoft columnist  Industry presenter: – Project World - 6 years – PMI – SAC - 4+ years – PMI - Information Systems SIG - 2 years – PPDM Association - several years 2

3. Corvelle Drives Concepts to Completion WTI Oil Prices - Last 8 Years 3 Back to the Future

4. Corvelle Drives Concepts to Completion Digital Oil Field Survey  Upstream companies struggle managing information for analytical purposes  Data stored in applications in nonstandard formats  Data trapped within organizational silos  Real-time data is managed independently  Progress in analytics requires action across multiple organizational silos 4

5. Corvelle Drives Concepts to Completion Data Volumes Growing every Year 5

6. Corvelle Drives Concepts to Completion End-users Love Visual Analytics Output 6

7. Corvelle Drives Concepts to Completion Vendor Demo Risk Expert in product Skilled presenter Showcases software Rehearsed dialogue Perfect data Blazingly fast performance 7

8. Corvelle Drives Concepts to Completion Future Success with Visual Analytics 8 Project management Knowledge of the business Data management Data quality DBMS Visual analytics software

9. Corvelle Drives Concepts to Completion Project Management  Don’ts: – Let the technologists run away with the project – Allow a stakeholder to claim project is easy – Invest in a detailed project plan  Do’s: – Deliver often – Expect people change management – Plan for a software release upgrade 9 People

10. Corvelle Drives Concepts to Completion Knowledge of the Business  Don’ts: – Think you understand the business – Believe IS business analyst understands the business  Do’s: – Include a business analyst from the business – Engage the end-users weekly 10 People

11. Corvelle Drives Concepts to Completion Producing Property Profitability Analysis 11

12. Corvelle Drives Concepts to Completion 12 Any chance you can give me better project management for my visual analytics projects instead?

13. Corvelle Drives Concepts to Completion How do project managers combat unrealistic expectations? A. Diplomatically educate on effort required B. Demo new capabilities annually C. Constantly communicate goals & benefits D. Agree with those who claim project is easy E. Coach project sponsor to communicate F. Attend few meetings with vendors 13 People

14. Corvelle Drives Concepts to Completion Data Management  Don’ts: – Believe application management is good enough – Think data integration is sufficient  Do’s: – Plan to strengthen data management – Build data management capability 14 Process

15. Corvelle Drives Concepts to Completion Data Quality  Don’ts: – Think data quality is good enough – Assume data stewards will undertake work  Do’s: – Plan to improve data quality – Develop visualizations for the data stewards – Build data stewardship capability 15 Process

16. Corvelle Drives Concepts to Completion What is well downtime costing your company? Lost Production Actual Production 16

17. Corvelle Drives Concepts to Completion Analytics in the world of Dilbert 17 You need a visual way to track your key metrics.

18. Corvelle Drives Concepts to Completion How do project managers respond to scope creep? A. Accept all additional scope proposals B. Sarcastically reject all scope proposals C. Evaluate scope proposals D. Defer all scope proposals to the next release E. Remove scope for every scope proposal approved F. Insist all scope proposals be approved by project steering committee 18 Process

19. Corvelle Drives Concepts to Completion Database Management System (DBMS)  Don’ts: – Let IT acquire more ETL toys – Move or restructure data – Let the purist build an elegant technical solution  Do’s: – Decide if DBMS upgrade is required – Expect to require a dedicated DBA 19 Technology

20. Corvelle Drives Concepts to Completion Visual Analytics Software  Don’ts: – Let data scientists acquire more analytic toys – Make solution excessively sophisticated  Do’s: – Decide if additional software is required – Expect to require a dedicated developer 20 Technology

21. Corvelle Drives Concepts to Completion Optimizing Frac Design 21 More production

22. Corvelle Drives Concepts to Completion Big Data Analytics in Dilbert’s world 22

23. Corvelle Drives Concepts to Completion How do project managers explain visual analytics? A. Displaying data as pretty pictures B. Using overly complex terms as a way of charging more for software licenses C. Representing data for analysis and insights in ways that resonate D. Over-analyzing data to avoid reaching any actionable conclusions E. Using a superior alternative to Excel 23 Technology

24. Corvelle Drives Concepts to Completion Conclusions  Competent project management produces project success  Visual analytics is a valuable technology  Visual analytics projects entail risks 24

25. Corvelle Drives Concepts to Completion Questionable Analysis Goals 25

26. Corvelle Drives Concepts to Completion Recommendations  Mitigate common project risks: – Ultra-high expectations – Uneven data management – Inadequate project staffing – Insufficient data quality  Avoid over-investing in technology: – DBMS & ETL – Data warehouse – Visualization development software 26

27. Corvelle Drives Concepts to Completion Questions & Discussion 27 Can you help us project manage visual analytics? Please fill out evaluation form

28. Corvelle Drives Concepts to Completion How Project Management is Shaping the Future Of Visual Analytics Corvelle Consulting 300, 400 - 5 Ave. S. W. Calgary, Alberta T2P 0L6 Phone: (403) 249-5255 E-mail: YogiSchulz@corvelle.com Web: www.corvelle.com Yogi Schulz Partner of Corvelle Consulting Information technology related management consulting Microsoft Canada columnist & CBC Radio host Industry presenter Former PPDM Association board member 28

29. Corvelle Drives Concepts to Completion Corvelle Bibliography - 1  Business Intelligence – experiencing more hype than value? – http://www.corvelle.com/business-intelligence-experiencing- more-hype-than-value http://www.corvelle.com/business-intelligence-experiencing- more-hype-than-value  Do you need big data for big results? – http://www.corvelle.com/do-you-need-big-data-for-big-results/ http://www.corvelle.com/do-you-need-big-data-for-big-results/  How advanced BI tools are delivering self-service analytics – http://www.corvelle.com/how-advanced-bi-tools-are- delivering-self-service-analytics/ http://www.corvelle.com/how-advanced-bi-tools-are- delivering-self-service-analytics/  How to be a winning project manager: Manage up and out – http://www.corvelle.com/resources/articles/it-world- canada/how-to-be-a-winning-project-manager-manage-up-and- out/ http://www.corvelle.com/resources/articles/it-world- canada/how-to-be-a-winning-project-manager-manage-up-and- out/ 29

30. Corvelle Drives Concepts to Completion Corvelle Bibliography - 2  Is big data success eluding you? – http://www.corvelle.com/is-big-data-success-eluding-you/ http://www.corvelle.com/is-big-data-success-eluding-you/  Is data modelling really dead? – http://www.corvelle.com/is-data-modelling-really-dead/ http://www.corvelle.com/is-data-modelling-really-dead/  Loser project managers manage down and in – http://www.corvelle.com/resources/articles/it-world- canada/loser-project-managers-manage-down-and-in/ http://www.corvelle.com/resources/articles/it-world- canada/loser-project-managers-manage-down-and-in/  Why you need visual analytics – http://www.corvelle.com/resources/articles/it-world- canada/why-you-need-visual-analytics http://www.corvelle.com/resources/articles/it-world- canada/why-you-need-visual-analytics 30

31. Corvelle Drives Concepts to Completion Bibliography - 1  3 business challenges faced when adopting big data analytics on an open source platform – http://www.itworldcanada.com/article/solving-big-data-problems-on-an- open-source-platform-depends-on-these-3-business-challenges/377440 http://www.itworldcanada.com/article/solving-big-data-problems-on-an- open-source-platform-depends-on-these-3-business-challenges/377440  Big data vendors look to simplify tools and processes for average enterprise user – http://www.itworldcanada.com/article/big-data-vendors-look-to-simplify- tools-and-processes-for-average-enterprise-user/377407 http://www.itworldcanada.com/article/big-data-vendors-look-to-simplify- tools-and-processes-for-average-enterprise-user/377407  Digitizing oil and gas production – Automation is an important answer to the industry’s upstream challenges. – by Stefano Martinotti, Jim Nolten, and Jens Arne Steinsbø, August 2014 McKinsey – http://www.mckinsey.com/insights/energy_resources_materials/digitizing_oil _and_gas_production http://www.mckinsey.com/insights/energy_resources_materials/digitizing_oil _and_gas_production 31

32. Corvelle Drives Concepts to Completion Bibliography - 2  The Five Big Myths of Big Data with Rick van der Lans – https://www.youtube.com/watch?v=W1VZhjTDL_U&index=8&list=PL wUPJvR9mZHgToruyAKF01QVT7xDWiarl https://www.youtube.com/watch?v=W1VZhjTDL_U&index=8&list=PL wUPJvR9mZHgToruyAKF01QVT7xDWiarl  Getting started with Big Data & Analytics: What you need to know – http://www.itworldcanada.com/assets/getting-started-with-big-data- analytics-what-you-need-to-know http://www.itworldcanada.com/assets/getting-started-with-big-data- analytics-what-you-need-to-know  Large oil and gas producer. Better control over big data generates huge cost savings and new business insights – http://www.itworldcanada.com/assets/large-oil-and-gas-producer- better-control-over-big-data-generates-huge-cost-savings-and-new- business-insights http://www.itworldcanada.com/assets/large-oil-and-gas-producer- better-control-over-big-data-generates-huge-cost-savings-and-new- business-insights  Spotfire and IHS Data - The Acquisition Template and Well Data Conduit – http://www.blueriveranalytics.com/webinars/ http://www.blueriveranalytics.com/webinars/ 32

33. Corvelle Drives Concepts to Completion Oil & Gas Data Warehouse Context Diagram Monthly Proprietary well data Monthly Public well data Data warehouse Daily Production data Monthly Financial data Monthly Public Frac data Monthly CAPEX Forecast data 33

34. Corvelle Drives Concepts to Completion Visual Analytics Application Context Diagram 34 Data warehouse Visual Analytics application GraphsTablesExportsReports VA app Summary data VA app Configuration data VA app Update

35. Corvelle Drives Concepts to Completion Value of Visual Analytics  Make data-driven decisions “very frequently”  Make decisions “much faster” than market peers  Execute decisions as intended “most of the time” 35

36. Corvelle Drives Concepts to Completion Daily Production Variance 36

37. Corvelle Drives Concepts to Completion Well Type Curve Analysis 37