Energy spend data is nothing like data from other industries – in fact, it’s much more complex. So how do cross-industry vendors like SAP/Ariba and IBM/Emptoris simultaneously cleanse data like yours and data on toothpaste, beef patties, and windshield wipers? In this SlideShare presentation, we’ll show you! (Hint: they cut a few corners).
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When Big is Really Small: The Dangers of Selecting a Cross-Industry Spend Solution
1. When Big is Really Small
The Dangers of Selecting a Cross-Industry Spend Solution
Power Advocate, Inc. Confidential 1
2. Today’s top energy executives recognize the huge value in
effective third-party spend analysis…
Millions in
Cost Savings
Operational
Efficiencies
Optimized
SRM
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3. …but often overlook the most important criteria when
considering vendors
!!
!
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4. Many variables seem important; others actually are important
Total Spend Analyzed
Number of Features
Number of Rules
Integration w/ Transactional Platforms vs Integration w/ Strategic Platforms
Speed of Data Cleansing
Energy Spend Analyzed
Usability for Energy Professionals
Energy-Specific Rules
Quality of Data Cleansing
vs
vs
vs
vs
Most Important!
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5. And when executives prioritize the wrong variables, they end
up with cross-industry solutions that pose meaningful risks
Bad Data
Inaccurate
Reporting
Millions in
Lost Savings
Total Spend Analyzed
Number of Features
Number of Rules
Integration w/ Transactional Platforms
Speed of Data Cleansing
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6. But what makes cross-industry vendors so risky?
Well, it’s pretty simple…
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7. The things these
companies buy…
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8. …are VERY different from the
things these companies buy
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9. And…
Different suppliers
Different products
Different services
Different data
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10. Plus, data from some industries is more complex
Complexity of Spend Data High
Low Data Complexity High
Commodities Engineered products
Basic services Highly-Technical Services
Specialized vendors Vendors providing many
products & services
Centralized purchasing Distributed purchasing
Products
purchased
Services
purchased
Suppliers
Organization
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11. Turns out, energy company data is especially complex
Low Data Complexity High
ComDpaletxai tCyo omf Sppleexnidt yData HigHihgh
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12. And we’re not talking about a small difference
Vs.
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13. Accurately classifying cryptic, energy-specific items like this
requires highly specialized rules and schemas…
7IN 26.00# 0.362W P-110 HC ERW R3 LTC-HYUNDAI-REG MIL(175 JT)
Learn More (or read on…)
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14. …which cross-industry vendors cannot profitably develop
Complexity of Spend Data High
Low DDaattaa CCoommpplleexxiittyy High
Energy
Consumer Goods
Airlines
Automobiles
Beverages
Fast Food
= Cross-Industry Vendors’ Profitability Threshold
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15. After all, items like this need to be decoded piece-by-piece, and
even then – hundreds of permutations are possible
7IN 26.00# 0.362W P-110 HC ERW R3 LTC-HYUNDAI-REG MIL(175 JT)
Material Group
Shape Steel
Wire Rod
Tubing
Piping
Casing
Alloy Ingot
Manufacturer
Hyundai Automobile
Hyundai Railway
Hyundai Steel
Hyundai Ship
Hyundai Plant
Hyundai Electric
Outside Diameter
12 Inches
7 Inches
5 Inches
Thickness
0.250 Inches
0.362 Inches
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16. Now imagine this 1 transaction…
7IN 26.00# 0.362W P-110 HC ERW R3 LTC-HYUNDAI-REG MIL(175 JT)
…multiplied by millions
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17. But if cross-industry vendors lack the assets and expertise
to tackle energy data, how do they sell to energy firms?
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18. They spend billions of dollars on sales & marketing…
2013 Sales & Marketing Spend:
$7.328 Billion
2013 Sales & Marketing Spend:
$5.164 Billion
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19. …which they use to hold lavish parties and conferences…
SAP Sapphire Now 2014
Keynote Speakers
• Clayton Christensen
Professor, Harvard Business School
• Brad Rencher
SVP / General Manager, Adobe
• Mark Barrenechea
President / CEO, OpenText
Oracle Open World 2014
Featured Artists
• Aerosmith
• Macklemore & Ryan Lewis
• Spacehog
• Capital Cities
• Empire of the Sun
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20. …and to showcase features that mask the quality of the data
they deliver and detract from the user experience
“Poor”
Ease-of-Use
- Gartner
“Adequate”
Ease-of-Use
- Gartner
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21. Ever heard this story before?
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22. Perhaps this version resonates more with you
Garbage In Garbage Out
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23. Curious to see an energy-specific interface that allows you to…
…with “exceptional”
ease-of-use
…to a 98+% degree
of accuracy?
Create reports
in minutes…
- Gartner
Click Here (or read on…)
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24. Now let’s cover what happens when energy firms
actually buy cross-industry spend solutions
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25. They’re left with shocking (real-life) examples like this:
Line Item: Cooling Tower Maintenance
Supplier: Bunneys Inc.
Price: $38,300,000
Cross-Industry Vendor Classification: Correct Classification:
HVAC Mechanical Construction Service
Cooling Tower Maintenance
✓
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26. …and many, many (real-life) examples like this:
Line Item: Improvement Allowance
Supplier: Red Hat Software
Price: $3,200,000
Cross-Industry Vendor Classification: Correct Classification:
✓
Development Environment Software Real Estate
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27. …which combine to form (real-life) categories like this:
Cross-Industry Vendor Classification: Correct Classification:
Chemicals
Production Chemicals $2,641,910
Painting and Coatings $1,487,143
Nitrogen Services $443,150
Not Chemicals
9%
91%
CHEMICALS, GENERAL
$51.5M
Pumps $10,088,197
Motors $9,037,047
Electric Submersible Pumping (ESP) Lift Services $3,704,851
Variable Frequency Drives $3,165,546
Pump Seals $3,034,483
Drill Bits $2,691,688
Valves $2,641,910
Separators $1,487,143
Wire and Cable $1,390,791
Casing and Tubing Services $882,221
Coil Tubing services $822,310
Motor Maintenance $708,009
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28. Their analysts spend days fulfilling simple requests…
…and have no choice but to circulate incomplete reports
?
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29. Meanwhile, unactionable categories like this one…
Portion that Wasn’t
Actually Engineering
Engineering Spend
Misclassified Elsewhere
Spend Classified
as “Engineering”
-$11M
+$32.6 M
$58.9 M
…cost them millions in lost savings every year
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30. But why listen to us?
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31. Well, because when it comes to energy spend…
$1.7+ Trillion
Energy Spend
Cleansed $320 Billion
Energy Spend
Cleansed
“Largest” Cross-Industry
Vendor in the World
…we’re the big kids on the block
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32. And, our industry focus allows us to do things
that others simply can’t…
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33. …like perfecting a rules engine that exclusively parses and
classifies Power, Oil, and Gas data
50+ engineers, analysts, developers Millions of energy-specific rules
(an investment that isn’t cost-effective for cross-industry vendors)
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34. Remember that line item example from earlier?
7IN 26.00# 0.362W P-110 HC ERW R3 LTC-HYUNDAI-REG MIL(175 JT)
Material Group
Shape Steel
Wire Rod
Tubing
Piping
Casing
Alloy Ingot
Manufacturer
Hyundai Automobile
Hyundai Railway
Hyundai Steel
Hyundai Ship
Hyundai Plant
Hyundai Electric
Outside Diameter
12 Inches
7 Inches
5 Inches
Thickness
0.250 Inches
0.362 Inches
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35. Our rules deconstructed and classified it in seconds
7IN 26.00# 0.362W P-110 HC ERW R3 LTC-HYUNDAI-REG MIL(175 JT)
Material Group
Shape Steel
Wire Rod
Tubing
Piping
Casing
Alloy Ingot
Manufacturer
Hyundai Automobile
Hyundai Railway
Hyundai Steel
Hyundai Ship
Hyundai Plant
Hyundai Electric
Outside Diameter
12 Inches
7 Inches
5 Inches
Thickness
0.250 Inches
0.362 Inches
OCTG Casing ✓
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36. And just to be sure, our energy experts verify all classifications
Raw Spend Data Rules Engine Expert Analyst Cleansed Data
(cross-industry vendors often claim the whole process can be automated,
but to achieve 98+% accuracy, human expertise is required)
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37. Best of all, our industry focus allows us to conduct analyses
that no one else can – like precise, per-unit benchmarking
$2,000
$1,600
$1,200
$800
$400
$0
Pump Station $/HP
6 pumps
5 pumps
4 pumps
PS1 PS2 PS3 PS4 PS5 PS6 PS7 PS8 PS9 PS10 PS11 PS12 PS13
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38. Still not convinced an energy-specific solution is the route to
success? Let’s hear from some industry experts:
Steps to Success for All Enterprises
“To succeed at spend intelligence, it would help
if you were to hook up…a solution provider that
has familiarity with your industry”
What to Look For in a Spend Analysis Solution
“Experience in analyzing spend in your industry”
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39. So what does all this mean for YOU?
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40. It means you can expect things from us…
…that you could never get from a cross-industry vendor…
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41. …like no more time wasted on “data janitor work”…
Clean Data
Analyze
…and no more anxiety over inaccurate reporting
✓
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42. Plus, you’ll finally be able to manage all of your spend…
“For every dollar of spend under management,
Aberdeen has historically quantified 5% to 20%
cost savings”
…and save millions of dollars for your organization
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43. Ready to see what Best-in-Class Data can do for you?
Complete
All of your enterprise
data…
Accurate
…classified to a 98+%
degree of accuracy…
Repeatable
…kept up-to-date with
regular refreshes
Granular
…organized in useable,
natural buying groups…
We’ll show you!
Request a Demo
Power Advocate, Inc. Confidential 43
Hinweis der Redaktion
Other analyses:
Companies are doing this for services and equipment
Proppant per pound (per well, per basin)
This is for one vendor – you could compare this same information for other vendors
You could track this information over time – track progress, monitor variability by basin/activity/etc.
The same analysis could be done in comparing different vendors.
A means of prioritization. Know where to focus. You have limited bandwidth and need to pick and choose where to focus attention and where to place your chips.
Objective is to make this as automated as possible – a part of your standard operating procedures and reviews, not 4 people in a conference room for three months to try and answer one question – no scale in doing this.