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Industry 4.0 to accelerate growth in the Middle East

Industry 4.0, also termed as the fourth industrial revolution, refers to data exchange and automation in manufacturing technology. The revolution is driven by the Internet of Things (IoT), cloud computing, data integration and other technological advances; which have been introduced to production and manufacturing systems to optimize delivery processes.

The concept essentially aims to combine the individual processes and computing performed by factory machines and import them on a cloud system, allowing the workflow and management of machines to be handled remotely.

Read more: Industry 4.0 to accelerate growth in the Middle East

Forcast

Many institutions engage in economic forecasting, including international organisations such as the International Monetary Fund, World Bank and the OECD, national governments and central banks, and private sector entities, including think-tanks, banks, consultants and companies. Some forecasts are produced annually, but many are updated more frequently.

 

Economists select which variables are important to the subject material under discussion. Economists may use statistical analysis of historical data to determine the apparent relationships between particular independent variables and their relationship to the dependent variable under study. For example, to what extent did changes in housing prices affect the net worth of the population overall in the past? This relationship can then be used to forecast the future. That is, if housing prices are expected to change in a particular way, what effect would that have on the future net worth of the population? Forecasts are generally based on sample data rather than a complete population, which introduces uncertainty. The economist conducts statistical tests and develops statistical models (often using regression analysis) to determine which relationships best describe or predict the behavior of the variables under study. Historical data and assumptions about the future are applied to the model in arriving at a forecast for particular variables.[1]

The economist typically considers risks (i.e., events or conditions that can cause the result to vary from their initial estimates). These risks help illustrate the reasoning process used in arriving at the final forecast numbers. Economists typically use commentary along with data visualization tools such as tables and charts to communicate their forecast

 

who needs economic  forcast, and why

 

Government Agencies and policy makers:

to be able to  forcast a projection on the neer  future to access what is needed  to be  don in the future to acomplish  the government institutions' goals,  andto  analysses polocies

 

for private business it is emperical to be able to  know  what may happen in the future   and anticipate  economic  shift  even  before  a new policy is announce by the government and to  have a full understanding of the international market

 

 

Software Engineering

conducting the economic  research of study  by our team of economist  is not always enough,  since  at  advanytics  we  do   use  our own economic model systems  that require on going enhancements  and developing  as well as  creating our own state of the art presentation logic, build   on state of the art  technology

The Importance of Developing Your Company’s Economic Model

A key component of any good business is the ability not only to keep up with numbers, and to do so accurately, but to understand the factors behind them. This is where economic models come in to play.

Read more: The Importance of Developing Your Company’s Economic Model

Careers at Econytics

we are allays looking for new staff member  to join our ever growing staff in different fields and capacities,

please find the list of career opening  at Econytics and  feel free to   contact us if  you find that  you could be a contributing part of out  dynamic and ever growing team

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