service costing/tco data assessment
Post on 14-Aug-2015
248 Views
Preview:
TRANSCRIPT
Data Prep for Service Costing
Copyright 2014 Thavron Solutions, LLC
Agenda
• Introductions• Overview• What is Data Maturity?• Assessment- – Why– When– How
• Opportunities for small group data evaluations
Copyright 2014 Thavron Solutions, LLC
INTRODUCTIONS
Copyright 2014 Thavron Solutions, LLC
Introductions
• Us: Nan Braun• CEO Thavron Solutions• nbraun@thavronsolutions.com/ @thavronsol / http://thavron.com/blog• Corporate IT – many roles- “hands” on to BRM to architecture• CTO, ontological modeling • Director, TBM Practice
Terry Dawkins• TBM Consultant/Data Architect Thavron Solutions• tdawkins@thavronsolutions.com
Copyright 2014 Thavron Solutions, LLC
Introductions
• You? – Name– Role– Company/Organization– Did you bring data to work on?
Copyright 2014 Thavron Solutions, LLC
Thavron Biases
• Systems Thinking• Universal Business Service Model• Manufacturing– Lean (MESA Lean Manufacturing Strategic Initiative Guidebook author, Toyota Method via GM/Delphi)
• Modeling/Frameworks• Common Sense
Copyright 2015 Thavron Solutions, LLC
OVERVIEWData Model for Service Costing
Copyright 2015 Thavron Solutions, LLC
Data for Service Costing
• Dependent on Service Costing Philosophy– Defined Allocation– Calculated Allocation– Consumption – Based Model
Copyright 2015 Thavron Solutions, LLC
Assessment Philosophy
Design First, then Assess for Capability
• Design ideal model based on Stakeholder input
• Pros: – Stakeholder buy in /ownsership– Ideal solution from the start
• Cons:– Data not capable of supporting model– Project “hangs” or collapses
Assess first, Design to Capability• Understand current data status, design
model to capability with specific maturity goals
• Pros:– Design will succeed– Rapid transparency to data
“imperfections”
• Cons:– Resistance to evolving/maturing model
Copyright 2014 Thavron Solutions, LLC
Types of data for a Consumption Based Model • Service Cost Components:– Labor– Infrastructure– Software – Maintenance & Support– Ongoing Development– Depreciation – Service Consumption Records
Copyright 2015 Thavron Solutions, LLC
Where does the data come from?
• Finance System• Depreciation Tracking• CMDB• Asset Management• Storage Management System(s)• Data Center Management• Project Management/Tracking
• Ticketing System(s)• Server Management Software• VCenter or equivalent• Cloud Provider Invoicing• HRIS• Network Management System(s)• License Management System(s)
Copyright 2015 Thavron Solutions, LLC
How Does the Data Fit Together?
• Not a direct linkage to Service in all data sources- – Layered model / Cost Components that are assembled into Services
• Does need key field linkage between data sources within components or Business Rules that link them together.
Copyright 2014 Thavron Solutions, LLC
What to measure?
• Stability• Completeness• Correctness
Copyright 2014 Thavron Solutions, LLC
Data Stability
• Column order and headers are unchanging
• Values in a column are consistent in meaning – no context sensitive values
• Format of data is stable over time and between data sources– Automated versus hand entered
Copyright 2014 Thavron Solutions, LLC
Data Completeness
• 80-90 % of data needed for common linkages are present
• Are your required fields also required data fields in source system?
Copyright 2014 Thavron Solutions, LLC
Data Correctness
• Effort to measure before modeling begins almost never worth the “win”
• Ownership belongs with Source Data Owners – Engage them early and share
reports/results frequently– Build a partnership
Copyright 2014 Thavron Solutions, LLC
The Myth of Perfect Data
Myth:You need perfectly clean and aligned data to get insight to service costing
Fact: You need data that is “clean enough”
to allow your model to function consistently to get insight to
service costing
Copyright 2015 Thavron Solutions, LLC
What is Clean Enough to Build?
• Contains key fields needed to model• Data has good Stability• Data has reasonable Completeness• Correctness will come with validation
Copyright 2015 Thavron Solutions, LLC
Creating a Data Assessment Plan
• Coordinate with Source System owners/SMEs• Extracts in raw format for assessment• Careful measurement of Stability and completeness• Calculation of maturity and readiness
Copyright 2015 Thavron Solutions, LLC
Pitfalls
• Data Samples can miss errors/problems • Perception of “problem data” can slow
down your project• Data Extracts change when you go to
launch• System changes/updates/upgrades
impact extracts
Copyright 2015 Thavron Solutions, LLC
DATA ASSESSMENT: ASSESSMENT HOW TO
Copyright 2015 Thavron Solutions, LLC
top related