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#BPOG
A collaboration between:
David Allen – Akili, Inc.
Gayle Richardson – SM Energy
Accelerate Your New Asset Assimilation
#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.
#BPOG
#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.
#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.”
#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
#BPOG
IoT is connecting information, people, and things
#BPOG | Best Practices for Oil & Gas 2016 | 7
Internet of
contentInternet of
people
Internet of
things
#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
#BPOG
#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
#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.
#BPOG
#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
TestTechnical
Activity
Data
Activity
Release N
Functional
Activity
TestTechnical
Activity
Data
Activity
#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
#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
#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
#BPOG
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
#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
#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
What Akili Does
Enterprise Resource Planning
Office of the CFO
Information Management
Enterprise Data Warehouse
Business Process Management
#BPOG
Questions?
#BPOGBest Practices for Oil & Gas 2016 | 24
Gayle Richardson, SM EnergyEmail: [email protected]
David Allen, Akili Inc.Email: [email protected]
How to Contact Us