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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A collaboration between:
David Allen – Akili, Inc.
Gayle Richardson – SM Energy
Accelerate Your New Asset Assimilation

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Speaker Introductions
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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.

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Are You Prepared For The Data Challenge?
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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.

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Issues with Data Management are Costly
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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.”

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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
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IoT is connecting information, people, and things
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Internet of
content
Internet of
people
Internet of
things

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Internet of Things – adoption curve
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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

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• 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
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SM Energy Announces Permian Basin Acquisition
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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.

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• The traditional approach
to work streams during realization.
• Iterative approach to an integrated work plan
for realization
Iterative Cycles Drive Value Quicker in Realization
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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

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• 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
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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
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Iterative Approach to Data Conversion
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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

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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

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Our Approach Combines Technology & Best Practices
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 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

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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
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21. What Akili Does
Enterprise Resource Planning
Office of the CFO
Information Management
Enterprise Data Warehouse
Business Process Management

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Questions?

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Gayle Richardson, SM Energy
Email: GRichardson@sm-energy.com
David Allen, Akili Inc.
Email: dallen@akili.com
How to Contact Us