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1. Strategic planning
and long-term strategic plans
A strategic analysis of a business is performed at
two separate levels - internal and external. An external
analysis of is often used to identify and study various
factors and their relationship in the environment, on
one hand, and a business entity which is the subject of
the analysis, on the other hand. The focus is on
external variables on which the business entity, as
such, has no influence. An internal analysis is employed
in order to identify factors of influence (internal
factors), inside a business entity. These factors, among
others, can be the resources (organizational structure,
personnel, assets, software support, capital, etc.) on
which a business entity’s operations are based upon.
The basis of this plan are simulation models which
enable the analyses of a large number of different
scenarios with various business factors, all with the
purpose of preparing a good foundation for the decision
making process.
Includes:
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Analyzing the organization at macro and micro
level;
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Defining goals;
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Testing the strategy and goal realization
through simulation models;
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Proposing the strategy for reaching the defined
goals for each business unit.
2. Preparing business
plans and monitoring realization
A business plan is actually a representation of a
business’ schedule regarding the realization of its
long-term goals and showing all its activities, in a
defined short-term period.
3. Management and
accounting system development and deployment
The main purpose for developing and deploying the
management and accounting system is an objective
valorisation of business transaction on weekly and monthly
bases. This procedure produces actual economic and value
parameters that can relate to:
Production planning (weekly/monthly), based on sales
planning; Objective distribution of indirect expenses on products
(weekly/monthly); Managing batch production with the aim of reducing
preparation costs; Ascertaining profitability per product and buyer.
4. Business process
reengineering
Business process reengineering (BPR) represents a
methodical approach aimed at inciting radical changes
within existing business processes. The key elements of
the BPR methodology are contained within different
activities defined by the BPR project. These include:
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Integration of business process reengineering
along different functional areas
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Inclusion of business strategies into radical
changes within business processes
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Emphasis on client values and demands
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Systematic business changes management
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Business regulation advancement
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Application of information technology solutions
and new technologies in IT process conversion
5. Restructuring and
consolidating corporations
The consolidation of a corporations is defined by a
set of goals and activities whose realization enables
solving, in the mid to long-term, the problems a
corporations is facing. It includes designing a new
organization and preparing a long-term strategic plan.
6. Strategic value
assessment
Assessing the strategic value of a company is
performed through the process of acquiring and analysing
data regarding its performance under real working
conditions.
Includes:
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Financial conditions and business perspectives;
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Operational activities’ characteristics;
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Legal obligations and business disputes;
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Networking and compatibility options with other
businesses;
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Staff potential.
7. Mergers and
acquisitions (M&A)
Set of activities that help determine, among others,
the business and financial state of a target company in
order to ascertain and prevent potential hazards that
may result in poor business performance and bring other
unexpected repercussions for the new company owners.
8. Portfolio analysis
and planning
The Portfolio analysis represents a powerful tool
for evaluating the existing state and functionality of
various business units within in a specific company. The
results of such a type of analysis, generally, show us
the position, role and significance of individual
business units within a business entity as a whole.
9. Decision Support
System (DSS) models
Simulation models are used in solving problems that
are not able to provide satisfying results by employing
standard (analytical) methods. This is especially
evident in situations when a company’s operations are
characterized by a high degree of uncertainty.
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