New opportunity for forecasting of the mobile market презентация

1. The simplest way to forecast is the trends forecdasting: statistical data on the number of subscribers, traffic volume, revenue allow us to construct short-term forecasts. The more points of observation,

Слайд 1New opportunity for forecasting of the mobile market
Head of Information and

Analysis Department Agency on innovation activitity
Vladimir Zhulego

Istanbul , 2012 y.


Слайд 21. The simplest way to forecast is the trends forecdasting: statistical data

on the number of subscribers, traffic volume, revenue allow us to construct short-term forecasts. The more points of observation, the more accurate predictions can be built: if you have a two-point, you have linear forecasts,
If you have three points, you have the quadratic approximation


Forecasting based on the trends.

3

2. Disadvantages trends forecasting: a) such projections did not reveal the reasons for the changes in the market, b) do not allow to take into account long-term impact of significant factors, c) does not take into account the state of the market, its potential d) do not create any impact on market mechanisms,


3. Task:
to construct model of companies interaction on the market, which will not have these disadvantages.




Слайд 3Setting of the problem.


It is necessary

to construct the model of companies
interaction on the market, that will allow to receive long-term forecasts
of the market, will include significant factors of influence, would predict impact on the market of control parameters.

Ability to make credible long-term forecasts creates for company
competitive advantage, and the ability impact on market for control
parameters allows company to build an effective strategy on the market.


Слайд 4The diagram of interaction of companies on the market
2

Competition on

the oligopolistic market (5 companies)

Слайд 5

One-parameter model of competition in oligopolistic markets.
5


Here:

The model takes

into account the saturation of the market, the flow of customers caused by exposure to advertising companies (the share of spending on advertising for different companies is different)
The model takes into account the stabilization of ARPU (each company has your level)





Слайд 6A one-parameter model does not take into account the difference
in

rates companies and customer segmentation: in practice
marketing policy may be very different in the segments.



Disadvantages of a one-parameter model of competition.

5

Diagram illustrates the transition to a two-parameter model of competition with segmentation


Слайд 7

Two-parameter model of competition in oligopolistic market.
6
To eliminate this disadvantages

was constructed two-parameter model, where we have introduced the segmentation customers.


The model takes into account: saturation of the market, flow of customers caused by advertising, flow of customers caused by the difference in rates, saturation of ARPU of each segment in each company




Слайд 8

New opportunity for forecast of the mobile communications market
6

The proposed extended model of competition in the oligopolistic market can effectively control the position of the company communications market. The model allows to calculate the optimal
company strategy. For axample, calculation shows that the cost of
an increase in advertising offset by growth in market share or are
even significantly lower than the additional revenue
(advertising embedded in a Dollar brings $ 4 in revenue).

In conclusion, it should be emphasized that the above model
could be extended by taking into account some parameters such as QoS or others, but in such a model is proposed,
in our opinion, may have very practical application.

Projected costs for the development of these approaches will
be significantly lower than revenue growth due to the optimization strategy.

"Market forces" at first glance it seems unmanageable, but in fact, new approaches
provide powerful new tools for forecasting the market and the challenge
of management the company is that would have to learn how to use them.


Слайд 9Where details can be found?

Жулего В.Г. «Прогнозирование
телекоммуникационного рынка на

основе
динамической модели конкуренции», журнал
«Экономические стратегии», №05-06-2007,
стр. 112-120

2. Жулего В.Г. Балякин А.А. «Моделирование
олигопольной конкуренции на
Телекоммуникационном рынке»,
журнал «Вестник связи» в печати (5.04.2011)



Слайд 10Others links.


1.И.В. Гришин, В.И. Ширяев «К прогнозированию в телекоммуникациях для автоматизации

задач управления», Сборник материалов симпозиума в МЭИН, 2007 год.

2. Bass F. M. “A new product growth for model consumer durables”,
Management Science, 1969.-Vol.15. – pp. 215-227

3. И.С. Березин. «Сколько в России абонентов мобильной связи?»
ROMIR-мониторинг, 19 февраля 2007 г. www.rmh.ru

4. Л.Л. Делицин. «Количественные модели распространения нововведений в сфере информационных технологий», монография, издание Московского государственного университета культуры и искусств, Москва 2009

5. Д. И. Трубецков, Е. С. Мчедлова, Л. В. Красичков
«Введение в теорию самоорганизации открытых систем» ФИЗМАТЛИТ, 2005 г.

Слайд 11Thank you for your attention


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