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Source: H.Rüll
Winning Business Models
The following charts represent examples of our recent
research:
Do you want to understand what is driving the success of firms?
Do you want to identify the key parameters which can improve
- your firm„s profitability
- your firm„s shock resistance
- your cashflow margins
- your firm„s top-line growth
Do you want to understand which parameters are driving the
success/failure of the projects in your business
Do you want to challenge the viability of your business plans
Source: H.Rüll
Winning Business Models
We are using well proven statistical methods to identify the key drivers of
success of firms competing in their respective sectors
Based on these inputs, we identify the key parameters which need to be
changed in order to improve a firm„s performance to reach a selected target
value (e.g.: profitability … shock resistance)
These parameters are tied to the processes of firms and to their very value
chains
With the help of these critical parameters we can then challenge the soundness
of forecasts in business plans/financial models
Further, we can position/benchmark these companies, within their sectors as
well as cross sectors
Using our approach further, we are able to identify the critical parameters which
are driving projects towards success/failure
Our experience shows, that we are able to significantly reduce the number of
project parameters which need to be monitored in order to ensure that projects
will achieve their respective targets
Source: H.Rüll
Winning Business Models
Contents:
Defining Winning Business Models; Examples
Process Velocity; Value Chain Velocity and the
Superiority Index
Example: Telco Equipment Sector
Superiority Index and Forecasting/Challenging of
Financial Models
Superiority Index and Valuation of Firms
Reducing Risks in Project Businesses
Source: H.Rüll
Winning Business Models
Source: H.Ruell
Today, companies are no longer competing on products, services or business-
processes alone, instead, in the end they are competing on business models
Business model innovations are always
strategic and
disruptive
They change the business logic and the competition in a very fundamental
way
R.Scheuss; Handbuch der Strategien
Source: H.Rüll
Winning Business Models
Source: H.Ruell
Defining “Winning Business Models”
Winning Business Models should yield above average
Shock resistance (meaning: in times of crisis, the profitability should remain
rather robust
Profitability
Liquidity
Revenue growth
These four metrics are captured in the form of the “Target-Diamond” the larger
the diamond, the closer a firm is relative to the “Winning Business Model”-status
Source: H.Rüll
The quest for business models offering:
shock resistance,
profitable growth and
liquidity
The Answer:
high internal velocity
fast value chains
IT is used as a strategic weapon
Growth
Shock Resistance
Profitability
Liquidity
Winning Business Models
Source: H.Rüll
Doing more with less… "Winning Business Model"
Example: Cisco vs Alcatel-Lucent;
Cisco is clearly outperforming Alcatel-Lucent in all four
metrics
Ebit Margin in sector-crisis in % of
“normal“ Ebit Margin
Average sales growth last three years
*NOTE: All numbers are 3-years averages
Growth
Shock Resistance
Profitability
Liquidity
CiscoAlcatel-
Lucent
92%
28,5%
29%
9%
-111%
0,2%
0,1%-4,4%
Winning Business Models: Communications Equipment Sector
Source: H. Rüll, DB
Source: H.Rüll
Winning Business Models
Source: H.Ruell
Examples:
The Telco Equipment sector during the collapse of the internet bubble
Cisco, Juniper, Nokia, are exhibiting only a small dip in their profitability,
whereas their competitors are taking a deep dive
Semiconductor sector
The leading firms are showing a high level of shock-resistance, whereas their
competitors are exhibiting losses in 2009
Note:
Similar patterns can be found in sectors like
steel
paper
software
…
automotive
In total we analyzed ca. 600 firms in ca. 20 different sectors
Source: H.Rüll
Winning Business Models: A different look at the equipment sector
Winning Business Models at work
Superior companies are much more robust against sector downturns than
incumbent/trailing companies
Note: Superior
companies are on
their way towards
the “Winning
Business Model”
status
Examples for
superior
companies:
Dell
Wal-Mart
...
12,3
3,3
11,712,7
7,6 7,5
9,5
11,412,6
10,5-
9,7
16,4-
10,4
9,8
-20
-15
-10
-5
0
5
10
15
2000 O1 O2 O3 O4 O5 O6
Op. Profits $ bn
Years
Trailing firms
Lucent
Nortel
Alcatel
Ericsson
Avaya
Tellabs
Superior firms
Cisco
Nokia
Juniper
Source: CBSB, JPM, H. Rüll
Source: H.Rüll
The EBITDA-Margin of trailing firms is taking a deep dive during the crisis 08/09,
whereas the profitability of the leading firms exhibit only a small DIP in 2009.
Leading Firms
Trailing Firms
Shock Resistance
Years 06/07 vs. 08/09
Leading Firms 91%
Trailing Firms -42%
Winning Business Models: Semiconductor Sector
Source: H.Rüll
Winning Business Models
Source: H.Ruell
We analyzed more than 600 firms in high-tech sectors as well as in low-tech
sectors and in the services segments
Our research led to two key findings:
1. Firms with fast processes outperformed their slower competitors
2. Firms with lean value chains outperformed their “bulkier” competitors
We capture the process speed in the form of the “Cash Velocity” and we
measure the leanness of value chains by the parameter: “Value Chain Velocity”
Both metrics are measured in days … the fewer the number of days, the better a
company‟s performance
To derive Cash Velocity and Value Chain Velocity, we use publicly available data
(P&L-Statement, balance sheet …)
Source: H.Rüll
Winning Business Models
Source: H.Ruell
These two parameters show very clearly how a given company is
positioned/performing within its sector
Further, this positioning indicates which parameters of a firm need to be improved
by what amount to increase the company‟s performance
In a next step, we combine Cash Velocity and Value Chain Velocity into one single
parameter: the Superiority Index (SI)
The Superiority Index captures the distance of a given firm from the sector average
A positive SI-value shows, that the firm‟s position is above average
SI = 0 means, the firm is performing equal to the sector average
A negative SI-value indicates, the firm is performing below average
The Superiority Index shows a strong correlation with key financial metrics
such as shock resistance, profitability, cash flow … valuation
Source: H.Rüll
Firms in the superiority zone are outperforming their competitors from the
problem zone
- +
Superiority Index
ProblemZone
Superiority
Zone
Neutral Zone
Profitability
Shock Resistance
Liquidity
Growth
103,4%
36,2%
36,5%
19,6%
-1,2%
-1,3%
1,4%
-273%
Superiority
Zone
Problem
Zone
Towards superiority – Example: Telco Equipment Sector
Source: H.Rüll; Data: UBS; Reuters
Source: H.Rüll
Winning Business Models
Source: H.Ruell
The Superiority Index reflects both the key properties of a firm‟s processes and
the key properties of a firm‟s value chain
Processes and value chains are not changed easily over night. Hence, the
Superiority Index serves as a good indicator of a firm‟s future performance
The following example shows this for the Telco sector:
We took the Value Chain Velocity (≡ SI in this case) of the year 2005 and tested it
against the profitability of the subsequent years.
Findings: The profitability of the years 2006, 2007, 2008 and 2009 (shown here)
correlated very well with the Superiority Index of 2005
This result is encouraging
We can use these findings to gauge the future performance of firms to a certain
extend and to challenge the financial modelling
Source: H.Rüll
We are starting from the value chain velocity (VCV) of the year 2005 and study
the relationship between the VCV in 2005 and the profitability of subsequent
years
As shown in the charts below, the correlation remains astonishingly high even for
the year 2009-profitability measured against the 2005-VCV
Winning business models: Forecasting Example: Telco Sector
Source: H. Rüll; Data: CG, Reuters
Source: H.Rüll
Winning Business Models
Source: H.Ruell
As our further research showed, the Superiority Index SI is correlating well with
the valuation of firms in a given sector
As an example we show the correlation between the valuation measured in
enterprise value / sales and the superiority index for the semiconductor sector
(linear semiconductors)
Source: H.Rüll
Example:
Linear Semiconductors
Source: H.Rüll; Data: CG, JPM, UBS
Tight relationship between valuation (EV/S) and the
Superiority Index (SI) of firms
Source: H.Rüll
Winning Business Models: Success Factors of
Projects
Source: H.Ruell
We can apply our analytical approach to investigate the relationship between
project parameters and the success rate of projects
The key question here is:
“Which parameters are tightly correlated with the success / failure of projects?”
In all cases we were able to significantly reduce the number of parameters,
management would have to monitor in order to manage projects successfully
Based on these findings, we can build easy to use “Early Warning Systems”
Source: H.Rüll
Key Question:
Which parameters exert the highest impact on the success of projects?
Focus:
Production / Engineering
The Force Field
Targetunit / activity
co
mp
etito
rsco
rpo
rate
influen
ce
Winning Business Models: Identifying key
parameters impacting the success of projects
Source: H.Rüll
Our analysis identified six significant parameters (out of 15 parameters in use)
Combined into the figure of merit, these parameters show a high correlation with the
project results (overtime)
Winning Business Models: Identifying key
parameters impacting the success of projects
Source: H.Rüll
In another example, we were able
to reduce the number of process
parameters necessary to monitor
the success of projects by a factor
of six!
When combined into the figure of
merit … these parameters yielded
a very good correlation with the
target parameter: “deviation from
target”
Winning Business Models: Identifying key
parameters impacting the success of projects
Source: H.Rüll
Winning Business Models: Evaluating Business
Plans
Further, we can use our approach to evaluate the consistency of
business plans on the corporate level and/or on the divisional level
We analyze a firm„s past performance and identify the key drivers of
performance/success
We then take these drivers and study how well they are correlating with
the performance of the group for the planning periods ahead
Example: Firm X
© Dr. Hartwig Ruell – Senior Excellence 23
Source: H.Rüll
Observation: whereas the actuals for
2012 are varying widely along the
regression line, the planned values for
the year 2013 are concentrated in the
upper right corner (high profitability)
Winning Business Models: Business Plans of Firm X
Source: H.Rüll
Observation: this chart shows the
profitability of firm X vs. one of the key
drivers of profitability of this firm.
Note the discrapency in the area
between the dotted lines: actuals vs.
planned values: although the key
drivers of profitability remain
unchanged, the planned profitabilities
(2013) exceed the actuals (2012) by a
factor of 5-6!
Winning Business Models: Business Plans of Firm X
Source: H.Rüll
Winning Business Models
Source: Clayton M. Christensen, H.Ruell
With our approach, we capture two key metrics of the RPV-theory:
Resources and Processes
RPV-Theory: Organisations successfully tackle opportunities when…
They have the resources to succeed
Their processes facilitate what needs to be done
Their values allow to prioritize
How a firm does its work
Resources
ProcessesValues
Value chain
velocity (VCV)
Cash
velocity
(CV)
What a firm has
What a firm wants to do
RPV Theory