We at RehanStat provide a full
range of services to cater for various needs in various industries
as follows:
In line with our mission, we
offer customized studies on the following:
· Market segmentation
· Market size, share & potential
· Market positioning
· Product Research
· Pricing Research
· Promotion Research
· Place (Distribution) Research
· Observation survey (inclusive of Mystery Shopping)
· Survey design, which includes
the development of the survey instruments
Study on the Employees
Satisfaction Level (ESL) in a specific organization and the
Employee Engagement Survey (EES)
for providing valuable information to the Human
Resource Department.
Data gathering from various
sources using at least one of the following methods:
· Face to face
· In-depth interview
· On-line survey
· Survey fieldwork
· Data entry
· Data analyses
· Data report
Custom-designed training on
statistical technique tailored to the needs and requirements of the
client. The training will integrate theory and relevant application
software to assist in the learning process.
· Statistical application
· Interpretation of result
· via KM Processes
· via surveys
The Analytic
Hierarchy Process (AHP)
Definition
The
Analytic Hierarchy Process (AHP) is a process that does a pairwise
comparison of all available criteria and able to accept both hard
data as well soft data (experience, gut feel etc) in order to arrive
at clear and informed decision.
Developed by Dr
Thomas Saaty in the early 1970s while he was a professor at the
Wharton School of Business, AHP is designed to reflect the way
people actually think.
The AHP is a
powerful and flexible decision-making process to help people set
priorities and make the best decision when both qualitative and
quantitative aspects of a decision need to be considered. By
reducing complex decisions into one-on-one comparisons, then
synthesizing the results, AHP not only helps decision-makers arrive
at the best decision, but also provides a clear rationale that it is
the best.
The AHP engages
decision makers in breaking down a decision into smaller manageable
parts, proceeding from the goal to the criteria to sub-criteria down
to the alternative courses of action. Decision makers then make
simple pairwise comparison judgments throughout the hierarchy to
arrive at the overall priorities of the alternatives.
Benefits
1.
Bring order to
chaos
2.
Helps one to
better understand the issues at hand
3.
Reduces
overlooked items
4.
Modifies thinking
5.
Makes it easier
to re-visit decision
6.
Allows
documentation of decision for reference
7.
Makes the
decisions more justifiable
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