corvelle drives concepts to completion how project management is shaping the future of visual...
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Corvelle Drives Concepts to Completion
How Project Management is Shaping the Future Of Visual Analytics
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Corvelle Drives Concepts to Completion
Yogi SchulzBiography
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
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WTI Oil Prices - Last 8 Years
Back to the Future
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Digital Oil FieldSurvey
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
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Data Volumes Growing every Year
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End-users Love Visual Analytics Output
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Vendor Demo Risk
• Expert in product• Skilled presenter• Showcases software• Rehearsed dialogue• Perfect data• Blazingly fast
performance
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Future Success with Visual AnalyticsProject managementKnowledge of the business
Data managementData quality
DBMSVisual analytics software
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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
People
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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
People
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Producing PropertyProfitability Analysis
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Any chance you can give mebetter project management
for my visual analytics projects instead?
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How do project managerscombat unrealistic expectations?
A. Diplomatically educate on effort requiredB. Demo new capabilities annuallyC. Constantly communicate goals & benefitsD. Agree with those who claim project is easyE. Coach project sponsor to communicate F. Attend few meetings with vendors
People
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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
Process
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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
Process
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What is well downtimecosting your company?
LostProduction
ActualProduction
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Analytics in theworld of Dilbert
You need a visualway to track your
key metrics.
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How do project managersrespond to scope creep?
A. Accept all additional scope proposalsB. Sarcastically reject all scope proposalsC. Evaluate scope proposalsD. Defer all scope proposals to the next releaseE. Remove scope for every scope proposal
approvedF. Insist all scope proposals be approved by
project steering committee
Process
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Database ManagementSystem (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
Technology
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Visual AnalyticsSoftware
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
Technology
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Optimizing Frac Design
Moreproduction
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Big Data Analyticsin Dilbert’s world
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How do project managersexplain visual analytics?
A. Displaying data as pretty picturesB. Using overly complex terms as a way of
charging more for software licensesC. Representing data for analysis and insights in
ways that resonateD. Over-analyzing data to avoid reaching any
actionable conclusionsE. Using a superior alternative to Excel
Technology
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Conclusions
Competent project management produces project success
Visual analytics is a valuable technology Visual analytics projects entail risks
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QuestionableAnalysis Goals
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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
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Questions &Discussion
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Can you help us project manage visual analytics?Please
fill outevaluation
form
Corvelle Drives Concepts to Completion
How Project Management is Shaping the Future Of Visual Analytics
Corvelle Consulting300, 400 - 5 Ave. S. W.Calgary, Alberta T2P 0L6Phone: (403) 249-5255E-mail: [email protected]: www.corvelle.com
Yogi SchulzPartner of Corvelle ConsultingInformation technology related
management consultingMicrosoft Canada columnist & CBC
Radio hostIndustry presenterFormer PPDM Association board
member
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Corvelle Bibliography - 1
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/
How advanced BI tools are delivering self-service analytics– http://www.corvelle.com/how-advanced-bi-tools-are-deliveri
ng-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/
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Corvelle Bibliography - 2
Is big data success eluding you?– http://www.corvelle.com/is-big-data-success-elu
ding-you/ 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-w
orld-canada/loser-project-managers-manage-down-and-in/
Why you need visual analytics– http://www.corvelle.com/resources/articles/it-w
orld-canada/why-you-need-visual-analytics
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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
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
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
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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=
PLwUPJvR9mZHgToruyAKF01QVT7xDWiarl Getting started with Big Data & Analytics: What you need to
know– http://www.itworldcanada.com/assets/getting-started-with-big-dat
a-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
Spotfire and IHS Data - The Acquisition Template and Well Data Conduit– http://www.blueriveranalytics.com/webinars/
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Oil & Gas Data WarehouseContext Diagram
MonthlyProprietarywell data
MonthlyPublic
well data
Data warehouse
DailyProduction
data
MonthlyFinancial
data
MonthlyPublic
Frac data
MonthlyCAPEX
Forecastdata
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Visual Analytics ApplicationContext Diagram
Data warehouse
Visual Analyticsapplication
Graphs Tables ExportsReports
VA appSummary
data
VA appConfiguration
data
VA appUpdate
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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”
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Daily Production Variance
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Well Type Curve Analysis