Viability Study, New Shopping Center in Madrid. Practical Case. Big Data. This study is part of an IOT project by ("Wi-Sen.com.es") First delivery

1. By: Oscar Cuenca Roca
WI-SEN technology
P r a c t i c a l c a s e
RETAIL
Opening Shopping Center
Madrid-España
linkedin.com/in/cuencaoscar
F i r s t D e l i v e r y
1

2. General Situation The first phase is the
feasibility study. We
have 3 options
•“Unicentro Madrid”
Shopping Center in Coslada
•Ciclón Shopping Center in
Torrejón de la Calzada
•Génesis Center in
VIllaviciosa de Odón
Practical case BIG DATA
W
e intend to develop the sensorization of
a shopping center. To this end we will
create a hypothetical case based on
the following assumption.
A client contacts us so that from 3
possible options we have to choose the
best one to open a shopping center in
Madrid, let us do a feasibility study and
then the most successful center we will
have to implement complete IOT project.
For this we will divide the project into
2 phases
Applied Technology
Cuenca
Oscar
WI-SEN technology
Approach and Objectives
35.000
FIELDS ANALYZED
MORE than...
We must analyze, with tools
of Big Data and other ones,
which shopping center
proposed by our client is the
best option.

3. The second phase deals with the
complete sensorization of the shopping
center, its spaces and stores. It will address
the hardware to be used, existing
communication protocols such as
experimental or traditional ones, network
architecture, cloud treatment under big data
techniques and finally we will approach the
delivery of information by developing user
interfaces such as Apps in house like others
more standard tools.
The main objective is to determine which
of the 3 shopping centers will achieve a
stable peak of inflow customers in the
shortest time possible.
As the main variable of success of a mall we will take the influx. The more
affluence of customers the more successful the mall will have. Although there
are other factors also important, such as, How much money each customer spent
in the center? When you go buy only basic necessities, or you consume leisure?
Etc .. In this case we will only take the influx as the main indicator, although
we will analyze several more
Analysis
SENSORIZATION
SECOND PHASE (IoT)
WI-SEN
TECHNOLOGY
By: Oscar Cuenca Roca
Approach method of analysis:
All living organisms need specific resources, such as nutrients and a favorable
environment, to survive and reproduce. These resources are not unlimited and
a population can only be as large as the resources available in its local
environment allow.
Comparing with a shopping center, we could say that every mall needs resources,
such as people's influx, commercial offer and a favorable environment for
transactions, so a Shopping Center can survive and grow. The influx of customers
can only be as large as the resources that the environment and the shopping
center put to this end, such as parking spaces, access roads, etc ...

4. Population ecologists use various mathematical methods to model population dynamics (changes in
size and composition of populations over time). Some of these models represent growth without
environmental constraints, while others include "ceilings" determined by limited resources. Mathematical
models of populations can be used to accurately describe changes in a population and, more importantly,
to predict future changes. Therefore a model of these characteristics adapted to shopping centers could
be of great help to us to obtain predictions.
Let us begin with the general equation of the population growth rate (the change in the number of
individuals who go to a shopping center belonging to the area of influence over time):
En esta ecuación, dN/dT,
es la tasa de crecimiento
de la afluencia en un
momento determinado,
N es el tamaño de la
población de influencia y
r es la tasa de aumento
per capita, esto es, qué tan
rápido crece la afluencia
por cada individuo que
existe dentro de la misma
Population Growth Rate
Equation.
WI-SEN
TECHNOLOGY
By: Óscar Cuenca Roca
Si suponemos que no hay un
movimiento de afluencia, que
es constante, hacia adentro o
hacia afuera de la población,
entonces r es solo una función
de las tasas de clientes nuevos
que entran en el centro
comercial y clientes que lo
abandonan, o lo que sería lo
mismo en población la tasa de
mortalidad y de nacimientos
para una población
La ecuación anterior es muy
general y podemos hacer
formas más concretas de
ésta para describir dos tipos
diferentes de modelos de
crecimiento: exponencial
y logístico.
• Cuando
la tasa de aumento
per capita (r) toma el mismo valor
positivo sin importar el tamaño de
la población o lo que es lo mismo
sin importar la afluencia que está
teniendo el centro, entonces
tenemos un crecimiento
exponencial.

5. Population ecologists use various mathematical methods to model population dynamics (changes in
size and composition of populations over time). Some of these models represent growth without
environmental constraints, while others include "ceilings" determined by limited resources. Mathematical
models of populations can be used to accurately describe changes in a population and, more importantly,
to predict future changes. Therefore a model of these characteristics adapted to shopping centers could
be of great help to us to obtain predictions.
Let us begin with the general equation of the population growth rate (the change in the number of
individuals who go to a shopping center belonging to the area of influence over time):
In this equation, dN / dT, is the
growth rate of the influx at a
given moment, N is the
population size of influence
and r is the rate of increase per
capita, that is, how fast the
inflow for each individual that
exists within it
Population Growth Rate
Equation.
WI-SEN
TECHNOLOGY
By: Óscar Cuenca Roca
If we assume that there is no
flow of inflow, which is constant,
in or out of the population, then
is only a function of the rates
of new customers entering the
shopping center and customers
who leave it, or what it would
be the same in population the
rate of mortality and of births for
a population
The above equation is very
general and we can make more
specific forms of it to describe
two different types of growth
models: exponential and logistic
• When the rate of increase
per capita (r) takes the same
positive value regardless of the
size of the population or what
is the same regardless of the
affluence that the center is
having, then we have an
exponential growth

6. The graph of each one of them would be the following one:
The rate of increase per capita (r) takes the same positive value regardless of the
size of the population or what is the same regardless of the affluence that the
center is having, then we have an exponential growth.
When
• When the rate of increase per capita (r) decreases as the population or influx
reaches its maximum limit, then we have a logistic growth. Exponential growth
occurs when the "per" capita growth rate of affluence in the shopping center
remains the same regardless of the size of the population in the shopping center,
which makes it grow faster and faster as it grows larger.
Logistic growth occurs when the per capita growth rate of inflow decreases as
it approaches the maximum population size allowed by the limited resources, or
carrying capacity (K), of the shopping center.
Cuenca
Oscar
TECHNOLOGY WI-SEN

7. In a shopping center, it is clear that their influx can not grow exponentially without limit. For
various reasons, among them, because as in every business, there is a growth curve that has
to soften in the long run and for obvious reasons, as it may be that the parking spaces are
exhausted and therefore there can be more influx, or because the access routes are saturated,
these factors and others that we must identify, also generate a negative effect on the client.
When a place is saturated, the service lowers its quality, and therefore the customers stop
going to that place. For example, restaurants grow, are in high demand, until waiting lists are
so large that customers decide not to wait so long and leave
VIABILITY
STUDY
Exponential growth is not a very
sustainable situation, as it depends
on infinite amounts of resources
(which are not usually in the real world).
Growth
WI-SEN
TECHNOLOGY
By: Óscar Cuenca Roca
BIG
DATAOpening Shopping Center
Therefore, in our case, we will analyze
the problem using the Logistic growth
formula.
Therefore
Exponential growth can occur for a time, if there is little affluence and many resources such
as staff in stores and restaurants, parking spaces, etc ... but when the influx of customers is
large enough, resources start to run out, which slows down the growth rate. Finally, the size
of the population or what is the same the influx of customers will be leveled, or will form a
plateau, which produces a graph with the shape of S

8. Analysis:
Let's analyze
the formula
In very general terms, any type of
resource or in our development,
variable that is important for the
existence of affluence and can
act as a limit of growth or expansion.
CUENCA
Óscar
WI-SEN TECHNOLOGY
The size of the influx in which the influx forms this figure represents the size of maximum
inflow that can be supported by a particular mall and is known as carrying capacity or K.
At a given time during influx growth, the expression K - N, N tells us how many more individuals
can join the influx before it reaches the carrying capacity. Thus, (K - N) / K is the load capacity ratio
that has not been "exhausted" yet. Thus, the more the load capacity is exhausted, the more the
reduction (K - N) / K has on the growth rate of the inflow. In short, the closer we approach the load
capacity, the more slowly the increase in inflow will grow.
This description fits the graph above, the influx grows almost exponentially at the beginning,
but it is leveling as it approaches K. It is for this reason that we can confuse a growth in its
initial state
Factors that determine the carrying capacity:
For example for plants water, sunlight,
nutrients and space to grow are some
fundamental resources. In the case of
animals, some of the important resources
are food, water, shelter and nesting space.
The limited quantities of these resources
result in competition between members
of the same population or intraspecific
competition (intra- = in-specific = species).

9. WI-SEN TECHNOLOGY
Ó S C A R C U E N C A R O C A
C h i e f N e w B u s i n e s s a n d I n n o v a t i o n
l i n k e d i n . c o m / i n / c u e n c a o s c a r /
In shopping malls, parking spaces,
the area of population influence,
access, supply, anchor, etc ... are
determinant for an affluence and
increase or decrease. There are also
many other factors that we will
deal with in the near future.
We determine these variables as a
preliminary step to the final analysis,
which will be the adaptation of the
formula to our 3 cases. In the next
installment, we will begin to
determine these variables and treat
them with various tools. Once the
variables are established, we must
complete the tables and data.
Next Report
SEPTEMBER 29TH 2017