Innovation World 2013 presentation
Efforts to increase operational transparency and performance often come with a unique set of challenges. In 2010, Baker Hughes began its journey to provide real-time visibility into its operations. Initial business process instrumentation efforts focused on both procure-to-pay and order-to-cash processes. In June 2012, its Board of Directors challenged the organization to reduce days sales outstanding by 10 percent.
Join this interview-style panel discussion to learn how Baker Hughes approached this initiative—the business drivers, the approach, business results and lessons learned. Also hear from industry experts on trends of business and IT collaboration to gain real-time insight at the right time.
Speakers:
Dave Brooks, VP, Intelligent Business Operations, Software AG (moderator)
Bhavesh Joshi, Director, Global Lapse Days Project, Baker Hughes
John Crupi, VP, R&D Software AG
9. The Project
• 9 Divisions
becoming 1
company: One
Baker Hughes
• Focus on the
Order to Cash
process
• “Rules Before
Tools”
• Enterprise level
project
• Significant Change
Management
• Part of BPM
journey
10. Before
• No global,
standard Order to
Cash process
• Exceptions and
discrepancies in
early stages of the
process resulted
in significant
rework and effort
when it came
time to invoice
the customer
• Inefficiencies
impacted overall
Order to Cash
cycle time
11. After
• Uniform Order to
Cash Processes
around the world
• Dedicated team
from Sales Ops,
Finance & IT for
implementation,
training & change
management
• Rule-based Alerts
drive action
• Business Process
Instrumentation
monitors events
across the entire
process
13. Benefits
• Global standards
facilitate best
practices
• Visibility &
transparency
drives
operational
accountability
• Cross-functional
personnel know
when appropriate
action is needed
• Streamlined
process helped
decrease Days
Sales Outstanding
by 1.5 days
14. Technology
• Integration points
Synch & Service
XML interfaces
(technology
agnostic) – no direct
connects
• Transport e-mail;
Broker webMethods;
Translation Layer
SAP
• Analytic Engine
monitors processintrinsic metrics
and business KPIs in
real-time
• System can learn
what’s “normal” by
day of week and
week of month
• Feeds SAP Business
Objects for the
dashboard