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#BPOG
A collaboration between:
David Allen – Akili, Inc.
Gayle Richardson – SM Energy
Accelerate Your New Asset Assimilati...
#BPOG
Speaker Introductions
#BPOG | Best Practices for Oil & Gas 2016 | 2
Gayle Richardson
SAP Systems Supervisor
SM ENERG...
#BPOG
#BPOG
Are You Prepared For The Data Challenge?
#BPOG | Best Practices for Oil & Gas 2016 | 4
GoLive with NO business disru...
#BPOG
Issues with Data Management are Costly
#BPOG | Best Practices for Oil & Gas 2016 | 5
80% of organizations… will unde...
#BPOG
ECC 6.0 w/
Original PRA
Roadmap Year
1
Roadmap Year
2
• Data Model
Simplification in
PRA
ERP Suite on
HANA
S/4 HANA
...
#BPOG
IoT is connecting information, people, and things
#BPOG | Best Practices for Oil & Gas 2016 | 7
Internet of
content
...
#BPOG
Internet of Things – adoption curve
#BPOG | Best Practices for Oil & Gas 2016 | 8
Maturity
Connect
Transform
Reimagi...
#BPOG
#BPOG
• Headquarters: Denver, CO
• Products & Services: Oil & Natural Gas exploration and production
• Major Areas of Oper...
#BPOG
SM Energy Announces Permian Basin Acquisition
#BPOG | Best Practices for Oil & Gas 2016 | 11
Question:
• How do we l...
#BPOG
#BPOG
• The traditional approach
to work streams during realization.
• Iterative approach to an integrated work plan
for r...
#BPOG
• Issue: Upstream Oil & Gas is different from many industries in that key processes such as Revenue
and JIB are run ...
#BPOG
Assess Acquisition Data by Asset Type
Gather Data Requirements by Asset Type
Complete Gap Analysis of Acquiring Data...
#BPOG
Iterative Approach to Data Conversion
#BPOG | Best Practices for Oil & Gas 2016 | 17
Release 1 –
Baseline
• Baseline...
#BPOG
SAP Data Services
One Runtime
Architecture &
Services
Unified Metadata
SAP Data Services
ETL
Data Quality
Profiling
Text A...
#BPOG
Our Approach Combines Technology & Best Practices
#BPOG | Best Practices for Oil & Gas 2016 | 20
 Reusable Tools fo...
#BPOG
Accelerate the legacy data conversion, data cleanup, and data integration processes with defined Data
Services struc...
What Akili Does
Enterprise Resource Planning
Office of the CFO
Information Management
Enterprise Data Warehouse
Business P...
#BPOG
Questions?
#BPOG Best Practices for Oil & Gas 2016 | 24
Gayle Richardson, SM Energy
Email: GRichardson@sm-energy.com
David Allen, Aki...
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SM Energy and Akili Discuss How to Accelerate Your New Asset Assimilation

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Upstream Oil & Gas companies strategically look to acquire assets as a method for growth and market penetration. The integration of those new assets into their SAP environment is critical to gain the most value from the acquisition. Frequently the data conversion to an SAP system is considered a trivial task and is given inadequate attention in the overall integration timeline. A proper data conversion strategy is key to the success of supporting these assets within SAP. While working with SM Energy during their SAP ERP implementation, Akili developed a rapid deployment data migration solution to accelerate the conversion of critical data to support an acquisition.

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SM Energy and Akili Discuss How to Accelerate Your New Asset Assimilation

  1. 1. #BPOG A collaboration between: David Allen – Akili, Inc. Gayle Richardson – SM Energy Accelerate Your New Asset Assimilation
  2. 2. #BPOG Speaker Introductions #BPOG | Best Practices for Oil & Gas 2016 | 2 Gayle Richardson SAP Systems Supervisor SM ENERGY David Allen S/4 HANA – Practice Director Akili Inc. Gayle is a results-driven professional with strong communication skills and a proven track record of identifying business process deficiencies and implementing improvements with multi-million $ bottom- line results. Her strong Oil & Gas background includes both the E&P and Midstream sectors. David is highly successful at optimizing financial, operational, and technical business processes that leverage innovative solutions. He provides strong management expertise pertaining to both domestic and international teams and improving the functionality of public and private companies. He is excellent at maintaining focus on customer needs while developing, planning, and executing projects that address company strategic initiatives.
  3. 3. #BPOG
  4. 4. #BPOG Are You Prepared For The Data Challenge? #BPOG | Best Practices for Oil & Gas 2016 | 4 GoLive with NO business disruption  Poor quality master data unable to support core business processes Data Cannot Delay GoLive  Inability to track and manage the project can cause ‘surprises’ late in the project No Surprises  Surprises early in a project can be managed – surprises late in a project are a huge problem User Adoption  Lack of quality data can make new system unusable  Return on investment is at risk if implementation is delayed Data is far from easy – It is crucial to identify the right partner with the right solution and expertise for your data migration project.
  5. 5. #BPOG Issues with Data Management are Costly #BPOG | Best Practices for Oil & Gas 2016 | 5 80% of organizations… will underestimate the costs related to the data acquisition tasks by an average of 50 percent” Gartner High Low More than 80% of data migration projects run over time and/or over budget. Cost overruns average 30%. Time overruns average 41%. Bloor, 2007 Lower “50% to 70% of ERP implementations are reported as ‘challenged’ in part to data integrity and/or data accuracy problems.”
  6. 6. #BPOG ECC 6.0 w/ Original PRA Roadmap Year 1 Roadmap Year 2 • Data Model Simplification in PRA ERP Suite on HANA S/4 HANA • Data Model Simplification in Core SAP Solution Simplifying the Data Structures in SAP #BPOG | Best Practices for Oil & Gas 2016 | 6
  7. 7. #BPOG IoT is connecting information, people, and things #BPOG | Best Practices for Oil & Gas 2016 | 7 Internet of content Internet of people Internet of things
  8. 8. #BPOG Internet of Things – adoption curve #BPOG | Best Practices for Oil & Gas 2016 | 8 Maturity Connect Transform Reimagine Value-add for Company tap into the network of connected things automate your business to achieve operational excellence empower new business models, value-added products and services
  9. 9. #BPOG
  10. 10. #BPOG • Headquarters: Denver, CO • Products & Services: Oil & Natural Gas exploration and production • Major Areas of Operations: Eagle Ford, Bakken/Three Forks, and Permian Basin • Enterprise Value*: ~$5.8 billion • Employees: ~680 • Solution: SAP ERP w/ IS Oil (FICO, FA, PRA, JVA, & PS) & SAP Data Services *As of September 6, 2016 Overview Best Practices for Oil & Gas 2015| 10
  11. 11. #BPOG SM Energy Announces Permian Basin Acquisition #BPOG | Best Practices for Oil & Gas 2016 | 11 Question: • How do we leverage our investment in our systems to generate long term value with this acquisition? Answer: • Manage the data. • Continue to improve the processes. • Communicate to our people.
  12. 12. #BPOG
  13. 13. #BPOG • The traditional approach to work streams during realization. • Iterative approach to an integrated work plan for realization Iterative Cycles Drive Value Quicker in Realization #BPOG | Best Practices for Oil & Gas 2016 | 14 Realization Functional Activity TestTechnical Activity Data Activity Release 1 Functional Activity Test Technical Activity Data Activity Release N Functional Activity Test Technical Activity Data Activity
  14. 14. #BPOG • Issue: Upstream Oil & Gas is different from many industries in that key processes such as Revenue and JIB are run in monthly batch cycles. As a result it is very difficult to fix issues with data on a transaction by transaction level in the normal business cycle. Accurate master data is critical! • Resolution: Testing is only valid on business processes in which the business test is being completed on converted data from the source systems. Data Management in Oil & Gas #BPOG | Best Practices for Oil & Gas 2016 | 15
  15. 15. #BPOG Assess Acquisition Data by Asset Type Gather Data Requirements by Asset Type Complete Gap Analysis of Acquiring Data Prepare necessary Data Transformation Validate Data Data Assessment for an Acquisition #BPOG | Best Practices for Oil & Gas 2016 | 16
  16. 16. #BPOG Iterative Approach to Data Conversion #BPOG | Best Practices for Oil & Gas 2016 | 17 Release 1 – Baseline • Baseline the process • Process a small set of data • Core Conversions only • Validating the environment & core process • No data validation Release 2 – Assess the Data • Assess the Data Quality • Complete all high priority conversions • Assess Data Quality • Confirm conversion mapping and rules Release 3 – Test 1 • Full data load – Ready for System Testing • All Conversions Complete • Validate load plan • Identify data issues Release 4 – Test n • Final validation • No new conversions • Final data cleanup • Repeat cycle until target data quality achieved Cutover • Cutover controls in place • All data validations in place
  17. 17. #BPOG
  18. 18. SAP Data Services One Runtime Architecture & Services Unified Metadata SAP Data Services ETL Data Quality Profiling Text Analytics One Administration Environment (Scheduling, Security, User Management) One consistent UISAP Business Suite SAP BW Databases Oracle apps Files / Unstructured text documents SAP HANA batch / real time Web Services, JMS, XML batch / real time SAP Business Suite SAP BW Databases Oracle apps Files SAP HANA Web Services, JMS, XML Sources Profiling / Integration / Data Quality / Entity Extraction Targets SAP Replication Server Data Integration, Data Quality, Data Profiling and Text Analytics
  19. 19. #BPOG Our Approach Combines Technology & Best Practices #BPOG | Best Practices for Oil & Gas 2016 | 20  Reusable Tools for Ongoing Data Management Akili Data Management Solution gives You what You need: A Solution You can Trust Easy to use data solution to reduce project risks and speed implementation AKILI DATA MANAGEMENT 1 ANALYSIS 2 EXTRACT CLEAN 5 LOAD 6 RECONCILEVALIDATE Governance and Visualization 43  Consulting Services  Pre-defined content and rules
  20. 20. #BPOG Accelerate the legacy data conversion, data cleanup, and data integration processes with defined Data Services structures for SAP ERP and PRA Over 70 pre built SAP Data Objects are delivered in our defined solution • Well Data • Delivery Networks • Division Order • Business Associates • Joint Operating Agreements • WBS Elements • And more… all critical data necessary to support rapid implementation of our solution Initial data assessment completed within 60 days on being engaged! Akili’s Upstream Data Management Solution #BPOG | Best Practices for Oil & Gas 2016 | 21
  21. 21. What Akili Does Enterprise Resource Planning Office of the CFO Information Management Enterprise Data Warehouse Business Process Management
  22. 22. #BPOG Questions?
  23. 23. #BPOG Best Practices for Oil & Gas 2016 | 24 Gayle Richardson, SM Energy Email: GRichardson@sm-energy.com David Allen, Akili Inc. Email: dallen@akili.com How to Contact Us

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