• Business intelligence is a large aspect of the applications and technologies that are used for gathering the needed data and knowledge for preparing the analytical reports in order to analyze the business of any organization and to make intelligent and precise decisions. Any business intelligence is formed by the organizational architecture and it analyzes the business data and makes desirable and smart decisions in form of the Online Analytical Processing (OLAP). Business intelligence is neither a product nor a system, but it is an architecture and approach containing functional and analytical programs that refer to the operational and analytical databases to help the decisions for intelligent business activities.
    Based on its own technical and operational knowledge, Aima Electronic Development Consultants Co. offers some business intelligence solutions and management dashboards to the organizations for the following services:

  • • Offering the business intelligence solutions at different organizational levels;
  • • Establishing and implementing the business intelligence systems in organizations;
  • • Offering counseling services for implementing the business intelligence systems and data warehouses;
  • • Analyzing the businesses of the organizations and extracting the key factors of efficiency of those organizations;
  • • Training the topics relevant to the business intelligence and data warehouse;
  • • Administering and conducting workshops and seminars in the area of the business intelligence.

  • Nowadays the all-inclusive impact of the information technology in all areas of the business has made the organizations approach to the use of software systems and install and implement different systems in different parts of their organization. The establishment of such systems has led to save a huge amount of data in the database of the organization. The increasing growth of the current data in such databases is so rapid that the organizations face a double size of the data in every 5 years. This is while the studies show that the organizations usually use only 1% of their data in their analyses. The main reason of this shortage can be found in the problems that the organizations face in using those data. Specifically, the following problems are the main challenges of the organizations on this issue:

  • • In many cases, the needed data for preparing analytical reports are placed in different resources; and the operational integration of diverse resource is an expensive and time-consuming process for the organizations.
  • • Operational softwares in the organization (e.g. sale, financial, human resources, warehouse, wages, etc.) can prepare the reports up to the middle levels of the organization. But the top managers rarely use the mentioned tools as the source of their decisions. This is while the middle managers spend considerable time to prepare such reports and in many cases, they must do it every day as a routine task.
  • • Due to the type of softwares and operational data bases (OLTP) the process of building big analytical reports out of the available data is a very slow process.
  • • Many reports that are produced by the operational softwares are simple reports showing the finished operation in the system. Such reports cannot be used in analytical multidimensional reports in short time.
  • • In many cases, the prepared reports don’t bring the top managers to a deep vision for making suitable strategic decisions but they can only offer limited information at operational levels.
  • • The staffs of any organization need analytical reports to have a better understanding of their work conditions. The difficulties of creating such reports lead the body of the organization deviates from the mainstream of the organization or spend considerable time to analyze different conditions.

  • As one can read in different definitions, business intelligence aims to increase the profitability of the organization by using exact and intelligent decisions. Generally, the following objectives can be defined for this modern approach:

  • 1. To determine the business tendencies of the organizations in order to help the organization in focusing on its fundamental goals without wasting its time, money and energy for testing other paths.
  • 2. Market analysis in depth
  • 3. Market forecast, in order to help the organization in developing its own share of the market before the competitors, and assigning the new created interests of the market to the organization.
  • 4. To reinforce the customer satisfaction. This factor can continue the business of the organization, while its lack or decrease can have severe consequences for the business agency.
  • 5. To identify the loyal customers in order to follow up their behaviors based on which the organization can come to true strategic macro decisions and directions.
  • 6. To classify the customers and consequently, to diversify the way of treatment to each group of the customers.
  • 7. To increase the efficiency of the internal affairs of organization and to clear the key procedures and processes of the organization.
  • 8. To standardize and adjust the organizational structures.
  • 9. To facilitate the decision-makings. This goal is one of the most fundamental goals of the business intelligence.
  • 10. To recognize the threats timely before they can impose real risks on the organization; and to identify the business opportunities before the competitors can capture them.

The hierarchy of the organizational decision is usually works as follow: the lowest level of the business activities in any organization is the operational level at which the process is being done repeatedly by the lower-level managers who deal with a small size of data. The decisions at these levels are usually made by the lower level managers and their results are mainly short term with micro effects.
On the other hand, the tactical level in the organization relates to the operations by the middle managers. These operations can include the follow-up of the lower-level operations, reporting, and finally summarizing and concluding the useful data for mid-term decisions. These decisions are usually about semi-structured issues that are made by the middle managers. Finally, the highest level of the organization is the strategic level relating to the macro decisions of the organizations being made by the top managers. These latter decisions are made less in number but belong to the long-term issues and they can be accompanied by a huge amount of the information and processing. The decisions on this level are made on the unstructured issues by the top managers and they have long-term impacts on the total path of the organization.
The application of the business intelligence at the strategic level can improve the overall efficiency and optimize the processes of the organization. Such systems focus on some important financial features and other important parameters that contribute in the increase of the total organizational efficiency. Obviously, the system at such a level must include the external issues as well. Different features of the applied programs in different sections of the organization will cause some differences in the tools, technics and infrastructures. The application of the intelligent and analytical tools is mainly done in the higher levels that require higher processes with more access to information. The need for this amount of data at the tactical and strategic levels is higher than the respective need at the operational level. The operational part of the business intelligent is responsible for gathering and saving the information in the databases.

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