This document discusses driving management technology through Enterprise Performance Optimization (EPO). EPO is a framework that sets transparent performance targets and allocates resources across processes and dimensions to maximize returns. It uses prescriptive analytics to optimize targets based on peer benchmarks. Implementing EPO through a software platform can help organizations improve volume by 10-15% and profitability by 30% within two quarters by finding hidden potential and driving targets toward 100% achievement.

1. Driving management technology
Insurance Solutions

2. Presentation Overview
insurance
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1. 2. 3. 4.
EPO EPO EPO Impact Solutions
The framework Methodology Corporate Returns Volume Targeting
The platform Growth Factors: Decision Analytics Workforce Allocation
correct target setting Incentive Compensation
5. 6.
How does EPO work? EPO
State objectives with Prescriptive analytics
data at work
Manage against
strategic goals
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3. About Alta Bering
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Alta Bering is a management technology and consulting house with
operations in North America and Europe since 1994. Levend Beriker
and Dr. Mahmut Karayel are Alta Bering’s founders and senior
partners.
Along with teams of developers, data scientists and consultants in
the US, Canada and Europe, Alta Bering has implemented cutting
edge management technology for benchmarking, targeting,
resource allocation and strategic planning.
Alta Bering’s clients are global retail banks, retail distribution
networks, mobile telecom, insurance and world leading FMCG
brands.
We serve our clients with a “rapid results” approach, using our
proprietary Enterprise Performance Optimization (EPO) platform.
Banking | Insurance | Retail | Distribution | FMCG | Telecom
Alta Bering Management Technology Consultants Ltd. All rights reserved.

4. 1.1.EPO
the framework
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EPO is a management framework that pushes the performance envelope with
its ability to simultaneously and transparently allocate resource based perfor-
mance targets across multiple processes and performance dimensions. The
primary goal of EPO is to enable rapid execution of strategy.
EPO is used to prescribe uniquely balanced action for hundreds or thousands
of managed units that are currently subject to the laws of averages.
EPO enhances Balanced Scorecard, Economic Profit and strategic portfolio
management methods, including the aging growth-share matrix.
With EPO, migration paths for members of any portfolio of “investments” can
be reset along multiple dimensions with any frequency: re-balancing growth,
market share, profitability, customer experience, customer segments, products
and risk for maximum return on capital.
Alta Bering Management Technology Consultants Ltd. All rights reserved.

5. 1.2.EPO
the platform
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EPO is also the name of our decision analytics
software platform that makes implementation of
the efficient frontier approach to targeting possible
and business complexity visibly manageable.
(http://www.altabering.com/alta-bering-epo.html)
The EPO platform has been used in financial services industry to mine for per-
formance opportunities, exploit potential, plan account manager/client sales
targets, optimize service workforce balance, distribution channels, balance
claim management and many others.
Alta Bering Management Technology Consultants Ltd. All rights reserved.

6. 2.1.EPO Methodology and Benefits
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Data
Infrastructur e
Setup
EPO Platform
Data Analysis
Prescriptions and • PO is a method that sets performance
E
Visualiza tion targets and allocates resources for greater
efficiency of any process or business unit
• PO works by treating performance
E
as a resource constrained production problem
and optimizes performance targets based on
peer benchmarks
• PO can help beat targeted efficiency
E
Modeling Segmenta tion by 10 - 30% in three performance cycles
• sing EPO benchmarking, management can
U
monitor true performance with any frequency
Model Input
Selection
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7. Our Perception
2.2.
growth factors
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be
on
nc
ti
ec
hm
set di r
ar k
Target Setting
Motivation
Effort
e
me
g
su
a
ur
oa
re
o u tc o m e s
n at
ls
nu In our experience, correct target setting is critical
rture to achieving potential output. It is often more
important than initiatives to better assess market
potential, incentivizing marginal effort and
Market, Organization deployment of physical assets.
Legal Environment
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8. EPO Impact
3.
8 | 14
Impact on Corporate Returns
With EPO an insurance organization would be able to retrieve hidden potential
across its network and distribution channels.
Typical two quarter improvement for insurance is 10-15% on volume
and 30% on profitability.
This level of improvement is possible because EPO drives target achievement
rates toward 100% of potential throughout the organization by:
• ffectively allocating all enterprise resources for maximum return
E
• inding and fixing performance problems quickly
F
• aking performance-related compensation schemes more effective
M
Impact on Decision Analytics
EPO will save valuable analyst time as it helps:
• apidly model and analyse massive amounts of performance data
R
• nlock the hidden value in large business intelligence investments
U
• onvince corporate agents of the need for improvement through transparent,
C
peer based performance targets
• ompress the “strategy to planning” process from months to days
C
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9. 4.1.Solutions and Impact
insurance: growth and profitability
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Experienced Offerings
Gain Range
Managing to averages leaves a lot of money
on the table even before strategy meets real- Sales Force
8 - 11 %
life constraints. Targeting
Alta Bering’s team of Data Scientists, Busi-
ness Analysts, Consultants and two decades Workforce
of practice proven, innovative approach to 3-8% Planning and
performance planning and resource alloca- Operations Staffing
tion, uncover years of pent up potential in
2-3 planning cycles. Balancing Channel
6 - 11 %
(www.altabering.com/alta-bering-epo.html) Potential
Overall Gain
Overall gains of 10-30% are typically 10% - 30%
achieved, through a combination 3-6%
Agency
of our offerings. Performance
Claim
3-5%
Management
Customer
10 - 15 % Retention
Development
Alta Bering Management Technology Consultants Ltd. All rights reserved.

10. 5.1.How does EPO work?
1. 2. 3.
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EPO treats performance Units are segmented Analysis of data in indi- Slack re-allocated to the
as a resource constrained using clustering vidual segments using efficient units to opti-
production problem and methods based on key EPO Analysis to deter- mize volume and profit-
optimizes performance performance variables, mine the most efficient ability.
targets based on peer which ensures we are units (on the efficient Inputs: # of Claims
benchmarks on resource, comparing “like-for-like” frontier) which are # of Agents
wage and output levels. in performance evalua- subsequently used as # sales
tion. benchmarks to gauge expenses
the relative efficiency
(and slack or potential Outputs: Net Premium $
performance improve- # of policies
ment) of the other
units. Total Improvement
20.36% 20.36%
21.00%
Efficient frontier 18.00%
Output
15.00%
12.00%
9.00%
6.00%
3.00%
-11.59% -10.84% -9.10%
0.00%
Cluster 1
-3.00%
Cluster 2
-6.00%
Cluster 3
-9.00%
-12.00%
# of Staff # of Cust. Cost Loan Vol Deposits
Input
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11. 5.2. Enabling Power Analysts
1. 2.
11 | 14
Classify data Segment for
optimization
3. State
4.
Benchmark
objectives against
using data objectives
fields
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12. 5.3. Enabling Enterprise Performance
5. 6.
12 | 14
Discover Analyze
potential sources of
improvement performance
lift
7.
Generate unit
8.
Explain recom-
specific recom- mendations
mendations
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13. EPO
6.
prescriptive analytics at work
13 | 14
visualization
Performance Warehouse optimizer
6.
1. 2. 3.
5. olap cube
EPO approach delivers
cross functional analytics
for long-range strategies, 4.
short-range plans, and
annual tactical initia-
tives. Internal data sources EPO results are inte-
Data sources can include are typically refreshed grated into the enter-
PL, Operational Data, monthly and weekly, prise BI platform.
syndicated data and external data sources as
more. they become available.
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14. C
ontact Us
14 | 14
Levend Beriker, Managing Partner
levendberiker@altabering.com
Mahmut Karayel, Partner – Chief Scientist
mahmutkarayel@altabering.com
Michelle Fernandes, Director Business Development
michellefernandes@altabering.com
Onur Bilgili, Senior Consultant
onurbilgili@altabering.com
Vancouver | Berkeley | Toronto | İstanbul
www.altabering.com
Thank You.
Alta Bering Management Technology Consultants Ltd. All rights reserved.