Baker’s Dozen:
13 Ways Process Intelligence Drives
Supply Chain Value
Anthony Aming, Baker Hughes
Dave Brooks, Software AG
Anthony Aming
Enterprise Business and Applications Architect / Baker Hughes
Dave Brooks
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KNOW
What Capabilities Matter
Integration | Visibility | Control | Flexibility
Process Transparency
Process Assurance
Process Flexibility
Give the Business a Dashboard, a Steering
Wheel and the Responsiveness that
provides agility
• KPIs
• Volume
• Velocity
• Quality
• Value
• Dashboards
• Process
Visualization
• Thresholds /
Rules
• Alerts
• Orchestrated
Processes
• Workflow
• “Single View”
Interfaces
• Simulation
• Dynamic
Routing
• Multi-Channel
management
• Mid-flight
process
changes
Information Exchange
• Data Transport &
Transformation
• “Universal
Translator”
• Frictionless Data
Exchange
Visibility
Control
Agility
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KNOW
Where Value is Created or Lost Upstream/Downstream
Review Order Check Order Compliance Receive Customer Order Receive Shipment Transmit PO to Supplier Generate Invoice Custom Billing System Ship Goods Prepare Shipping Documents Ship to FF Generate Pack Ship
Customer Submit PO Pay Invoice
Create Factory PO
Create Sales Order
Update Shipping Docs and Changes Consolidate
Boxes Receive ASN
Send ASN Receive Ship Notice Receive Ack
C
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o
m
e
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E
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rp
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se
Su
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r
3
P
L
/P
a
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B
C
F
G
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P
S
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M
J
K
A
D
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Exception Handling• Call Center / Support personnel • Late / Missing / Stuck orders
Expedited shipping • Express / Air vs. Ground • Alternative methods / carriers
Late Delivery • SLAs / fines
• Customer Sat impact
#
Focus Area
Process Step Identifier
Advance Ship Notices • SLAs / fines
• Customer Sat impact
Additional Fulfillment Costs • Accelerated manufacturing
(overtime / extra shifts) • Other Costs
O
T
I
U
Returns
• Reverse logistics costs • Scrap
• Customer Sat impact
Q
Overall O2C Cycle time • DSO Impact
• Inventory impact • System handoffs
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KNOW
What’s Real
The Opportunity: Convert “Real-time” to “Real-Value”
V
a
lu
e
Business event
Data captured
Action
taken
Intelligence delivered
Opportunity
• Engaged with customer
• Truck at loading dock
Missed Opportunity
• Customer has left the store
• Truck has left the dock
Time
Reference: Richard Hackathorn – The BI Watch: Real Time to Real Value
Process
Intelligence
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How Do You
KNOW
You’re Successful...?
Measure It!
VOLUME
VELOCITY
RISK
VALUE
QUALITY
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Supply Chain Key Performance Indicators
P
ub
li
ca
ll
y
A
va
il
a
b
le
D
a
ta
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KNOW
How You Perform Relative to the Competition
Oilfield Tools
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KNOW
Your Process is Working
Ensure the right transactions happen in the right timeframe
• Full visibility of round trip transactions
• Configured to support exception management:
identify both errors and delays
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KNOW
What’s Going On Outside Your Direct Control
Track & Trace Outsourced Invoice Processing
End-to-End Model
Completed Steps
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KNOW
What Good Looks Like
Internal Benchmarking: Leaders and Laggards
Best Practice
eg: Sales Center #3
Benchmarking
activity level
Worst Performer
eg: Sales Center #14
Performance
Differences
revealed at Benchmarking
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KNOW
The Root Cause
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KNOW
The Score (or SCOR!)
Real-time Joint Scorecard
Supplier
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Baker’s Dozen (the first 6)
13 ways Process Intelligence Drives Value
1.
Leverage different kinds of
metrics (Volume, Value,
Velocity, Quality, Risk)
2.
Analyze Trends
3.
Understand Root Cause
4.
Bake-in Complex Event and
Business Rules
5.
Provide Alerts to spur action
6.
Enable Operations personnel
to get to the action level
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Revenue over $14 Billion
Oilfield tools and services; integrated
operations and reservoir consulting
9 Regional / 19 Geo-market Teams
>50,000 Employees in 90 Countries
Global Supply Chain critical to BHI‘s success
Baker Hughes
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Baker Hughes, Inc.
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19 19
What We’ll Cover …
•
Visualize the Procure to Pay System and Process
•
Baker's approach in delivering Business Process
Instrumentation (BPI)
•
Get a firsthand account of how Baker Hughes, (BHI), a global
oilfield service company is able to measure and improve its
performance against its competition on critical key
performance indicators like Cash-to-Cash Cycle Time
•
Gain insight the strategies and best practices Baker uses to
leverage BPI to drive millions of dollars of value to the
business
27 June 2011 | ProcessWorld 2011 | 20 20 20 43,213,456 39,453 13,554 97,533 106,343
Use Case: Purchase Order Value Appears to be Too Great
Fix Purchase Order Problem
43,213 39,453 13,554 97,533
27 June 2011 | ProcessWorld 2011 | 21 27 June 2011 | Software AG - Get There Faster | 21
Exception Sub-Process
Accept Reject Escalate
Error Handling Exception Handling Decision Support Review Order Check Order Compliance Receive Customer Order Receive Shipment Transmit PO to Supplier Generate Invoice Custom Billing System Ship Goods Prepare Shipping Documents Ship to FF Generate Pack Ship
Customer Submit PO Pay Invoice
Create Factory PO
Create Sales Order
Update Shipping Docs and Changes Consolidate Boxes
KPI KPI KPI
KPI
KPI
KPI
1. Establish Process
2. Determine KPIs &
Measure Baseline
3. Orchestrate Process &
Implement Workflow
4. Identify & Prioritize
Process Improvements
Business Process Instrumentation
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Business Process Instrumentation: Step by Step
•
Establish alerts for certain conditions
•
Link to Business Intelligence tools for
“deeper analytics”
•
Identify business
process
to instrument
•
Locate “triggers” at key
points within a process
in relevant application
•
Design Console for
real-time visualization and
monitoring of:
•
Volume
•
Velocity
•
Quality
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Business Process
Instrumentation
(BPI)
BPI Metric
Event
Storage
Supplier Invoice-to-Payment Process Model
Event Metric Event Metric Event Metric
Console
23 © 2009 Baker Hughes Incorporated. All Rights Reserved.27 June 2011 | ProcessWorld 2011 | 24
Business Process Instrumentation Steps
Define the process and steps or events to be monitored
Define success and failure
Success means the solution provides the visibility and metrics to
give the organization the agility to be flexible and adaptable to
be more productive, adds value
Define key actors and systems
Actor eg: Invoice Approver in the accounts payable process
Systems eg: SAP, webMethods, Maximo
Define business metrics that are a combination of:
Business facts (e.g., sales order amount)
Dimensions (e.g., region, product center)
Transactional data (e.g., sales order number)
Do as many as needed, but limit as much as possible
24 © 2011 Baker Hughes Incorporated. All Rights Reserved.27 June 2011 | ProcessWorld 2011 | 25
BPI Steps (cont.)
Define business rules and alerts
Preemptive alerts for expected results that have not
occurred in a timely fashion
For example, invoice creation should be followed by releasing
document to accounting (Released to Accounting RTA) within X
days. Accounts Receivable Credit and Collections would receive
an alert when RTA has not been created within expected time
frame.
KPI alerts
Used for monitoring when individual transactions are outside
expected results
Trending alerts
Used to monitor patterns across multiple data points when an
overall process is deviating from normal
25 © 2011 Baker Hughes Incorporated. All Rights Reserved.
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Tracking the Value
Cash Conversion Cycle
CCC = DIO + DSO –DPO
CCC = Cash Conversion Cycle
DIO = Days inventory Outstanding
Average Stockholding Period
DSO = Days Sales Outstanding
Average Receivables Processing Period
DPO = Days Payables Outstanding
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Suppliers
Customers
BHI
Tracking the Value
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BHI Customer End of Job-to-Payment Life Cycle
Invoice Payment Job Completion Invoice Creation Date Payment Expected Invoice Released to Accounting and Booked as Revenue
Invoice Posted & Presented to
Customer
Customer Process Invoice and Pays according to Terms
Delays in Receiving Payment from Customer
Days After Job Completion to Invoice Creation Delays in releasing Invoice to Accounting Delays in Invoice Delivery/ to Customer Delays in Customer Invoice Processing On-Time Payments
Activities Causing Late Payments
Invoice Creation to Invoice Payment Job Completion to
Invoice Creation
Delays in Invoice Creation after Job Completion
Total Lapse Days Actual Payment Days
Total Cycle Time
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Consoles – DSO Reduction
29 © 2011 Baker Hughes Incorporated. All Rights Reserved.
SHOW ME THE MONEY
TOTAL LAPSE DAYS
GETTING THE MONEY
DSO is controlled by
•
Lapse Days
•
Actual Payment Days
Show Me the Money
•
Actual Payment Days
Total Lapse Days and Getting the Money
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Total Lapse Days – Daily
30 © 2011 Baker Hughes Incorporated. All Rights Reserved.
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Total Lapse Days Console
Lapse Days Reduction
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Getting the Money – Invoice Delivery Cycle Time
32 © 2011 Baker Hughes Incorporated. All Rights Reserved.
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Show Me The Money – Daily
33 © 2011 Baker Hughes Incorporated. All Rights Reserved.
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Show Me the Money Console – APD Reduction
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BHI Customer End of Job-to-Payment Life-Cycle
Rules & Alerts
•
Total Lapse Days (TLD)
•
Days to Create Debit Memo Request
from DMR Complete Date
•
Days to Create PGI from Delivery
Date
•
Days to Invoice Create from
DMR/Delivery Date
•
Days to RTA from Invoice Creation
•
Days to Send Invoice from Invoice
Creation
•
Days to Deliver Invoice from Send
Invoice
•
Days to RTA is after Send Invoice
35 © 2011 Baker Hughes Incorporated. All Rights Reserved.
•
Actual Payment Days RTA to
Payment (APD)
•
Invoice Amount exceeds
$1,000,000
•
RTA amount exceeds $1,000,000
•
Credit Memo amount exceeds
$100,000
•
Payment amount exceeds
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Sample Filters
36 © 2011 Baker Hughes Incorporated. All Rights Reserved.
•
GEO Hemisphere
•
Geo Region
•
Geo Market
•
Country
•
Sales Organization
•
Product Center
•
Plant
•
Profit Center
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Drill down to details
37 © 2011 Baker Hughes Incorporated. All Rights Reserved.
27 June 2011 | ProcessWorld 2011 | 38
Extending the Reach
Additional Consoles – available now
•
Controlling the Cash Out
(APD)
•
Getting Goods & Services
(DIO)
•
Getting The Work
•
Doing The Job
•
Beacon & WellLink
•
POWER
(POWER-Application Support)
•
Technical Support
Portal (C&P)
•
SOLV (IT Tickets)
•
HR (Functional HR
Support Process)
•
IT Tickets (Incidents)
•
IT Tickets (Requests)
•
Assets (Purchasing IT
Assets)
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Institutionalizing Business Process Instrumentation
Online BPI Catalog speeds requirements and adoption process
•
Silver
•
Gold
•
Platinum
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Where Are We Going Next?
Predictive Analytics /
Smart Forecasting
•
Use combination of
historical trends and
simulation to estimate
Future Performance
•
Build in Risk Parameters
and assumptions for
„What-if“ scenario
modeling
Process Mining & Root
Cause Analysis
•
Send Optimize data to
Process Performance
Manager for process
improvement
•
Benchmark leaders and
laggards
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