This document discusses driving management technology through Enterprise Performance Optimization (EPO). EPO is a framework and software platform that sets uniquely balanced performance targets and allocates resources across processes to optimize returns. EPO enhances existing management methods by treating performance as a resource-constrained problem and optimizing targets based on peer benchmarks. Typical impacts of EPO include 10-30% efficiency gains through improved target setting and decision-making.

1. Driving management technology
Retail and Consumer Industry Solutions

2. Presentation Overview
retail and consumer
2 | 16
1. 2. 3. 4.
EPO EPO EPO Impact Practice Highlights
The framework Methodology Corporate Returns Operational Efficiency
The platform Growth Factors Decision Analytics Trade Promotion
Marketing Campaign
Campaign Optimization
5. 6. 7.
Impact on Retail How does EPO work? EPO
Business Beyond KPIs and Prescriptive analytics
Optimize advertising scorecards at work
and promotion Prescribing resources
Increase revenues and targets
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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
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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
performance 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 consumer goods distribution, marketing,
store operations and capital expenditure decisions as well as management
of store portfolios.
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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 | 16
Impact on Corporate Returns
With EPO a typical large consumer goods company (FMCG, CPG) would be able
to retrieve hidden potential across its network and distribution channels.
Typical two quarter improvement for consumer goods is 10-15% on volume
and 10% to 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. Practice Highlights
4.
9 | 16
Solution Areas
• ales Effectiveness
S
• isk Management
R
• apacity Planning
C
• ervice Quality Improvement
S Retail Solutions
• esource Allocation
R • Operational Efficiency
• arketing Media Selection
M • Trade Promotion Optimization
• hannel Optimization
C • Operations Cost Planning
• erformance Targeting
P • Marketing Campaign Optimization
• ustomer, Network Segmentation
C • Category Mix Management
• rocess Optimization
P • Supply Chain Strategy
• rade Area Potential
T • Brand Value Benchmarking
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10. Impact on Retail Business
5.1.
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“How would Alta Bering and EPO impact
business performance?”
Retail
• onvert operating expenses into revenue and customer growth
C
• ptimize advertising and promotion mix to maximize sales
O
• ecrease marketing expenses
D
• aximize customer satisfaction by reallocating technical support and in-store
M
staff
• ncrease revenues by optimizing category mix and brand efficiency
I
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11. Impact Case
5.2.
operational efficiency
11 | 16
Business Problem
“We want to pay LESS marketing and operations
expenses for MORE customers and higher revenue.”
Project Objectives and Alta Bering Scope
Alta Bering was engaged to deliver a store operations efficiency solution.
The goal was to design a database and a mathematical model for actionable
insights about:
• dentifying optimal target sales level
I
• easuring store network sales performance against operational spend
M
• eallocating in-store staff for maximum customer satisfaction
R
• Optimizing vendor related costs
Results Delivered
Identified 19% potential for increase in profitability, close to 10% in vendor
related expenses and 6% in in-store costs.
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12. 6.1.How does EPO work?
1. 2. 3.
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EPO treats performance Units are segmented Analysis of data in Slack re-allocated to
as a resource constrained using clustering individual segments the efficient units to
production problem and methods based on key using EPO Analysis to optimize volume and
optimizes performance performance variables, determine the most profitability.
targets based on peer which ensures we are efficient units (on Inputs: # of Staff
benchmarks on resource, comparing “like-for- the efficient frontier) # of Customers
wage and output levels. like” in performance which are subsequently Cost
evaluation. used as benchmarks
to gauge the relative Outputs: Loan Volume
efficiency (and slack or Deposit
potential performance
improvement) 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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13. 6.2. Enabling Power Analysts
1. 2.
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Classify data Segment
units for
optimization
3. State
4.
Benchmark
objectives for potential
using data improvement
fields
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14. 6.3. Enabling Enterprise Performance
5. 6.
14 | 16
Expose Analyze
improvement sources of
areas performance
lift
7.Generate
8.
Explain and
unique advice support advice
for each unit
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15. EPO
7.
prescriptive analytics at work
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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
initiatives. Internal data sources EPO results are
Data sources can include are typically refreshed integrated into the
PL, Operational Data, monthly and weekly, enterprise BI platform.
syndicated data and external data sources as
more. they become available.
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16. Contact Us
16 | 16
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.