Current information has become an essential component in the life of a day – the day especially in taking decisions, the most simple example is we look at the weather forecasts before we run the activity so that we can do activities with smoothly. Currently lots of information but how to make that information be appropriate (effective) so that it can be captured quickly, easily understood and can make us able to make the right decision? one of the answers of that is Business Intelligence.
There are various definitions of Business Intelligence (BI). According to Wikipedia, Business Intelligence is a set of techniques and tools to transform from raw data into information that is useful and meaningful for the purpose of business analysis. BI technologies can handle structured data in very large quantities to help identify, develop, and besides create the opportunity for a new business strategy. The goal of BI is to facilitate interpretation of the large amount of data. Identify new opportunities and implement an effective strategies based on business insight can provide a competitive market advantage and long-term stability.
The architecture of a business intelligence system consists of six main components , namely:
Data Source
In this first stage process is needed to collect and integrate the data stored in various varied sources that differ from each other both the origin and type. This data source comes from data contained in the operational system, but can also come from unstructured documents such as emails and data sent by outsiders.
Data Warehouse
At this stage the process of using the extraction and transformation tool known as ETL (Extract, Transform, Load), data from different sources is stored into the database intended to support the business intelligence analysis process.
Data Exploration
At this stage, tools that serve for the purposes of passive business intelligence analysis used.Tools consists of query and reporting system, and statistical methods. This methodology is passive because decision-makers must make decisions based on their own hypotheses or define the criteria of data extraction, then use analytics tools to find answers and match them to their original hypothesis.
Data Mining
At this stage the process consists of a number of active business intelligence methodologies whose purpose is to extract information and knowledge from the data. This methodology contains a number of mathematical models for pattern recognition (pattern), machine learning and data mining techniques.
Optimization
At this stage results in a solution where the best solution should be chosen from the many alternative solutions available, and usually very much and varied or varied.
Decisions
At this stage the main problem is how to determine the final decision to be taken which is known as the decision making process. Although the business intelligence methodology is successfully applied, the choice to make a decision remains with the decision makers.
There are various definitions of Business Intelligence (BI). According to Wikipedia, Business Intelligence is a set of techniques and tools to transform from raw data into information that is useful and meaningful for the purpose of business analysis. BI technologies can handle structured data in very large quantities to help identify, develop, and besides create the opportunity for a new business strategy. The goal of BI is to facilitate interpretation of the large amount of data. Identify new opportunities and implement an effective strategies based on business insight can provide a competitive market advantage and long-term stability.
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The architecture of a business intelligence system consists of six main components , namely:
Data Source
In this first stage process is needed to collect and integrate the data stored in various varied sources that differ from each other both the origin and type. This data source comes from data contained in the operational system, but can also come from unstructured documents such as emails and data sent by outsiders.
Data Warehouse
At this stage the process of using the extraction and transformation tool known as ETL (Extract, Transform, Load), data from different sources is stored into the database intended to support the business intelligence analysis process.
Data Exploration
At this stage, tools that serve for the purposes of passive business intelligence analysis used.Tools consists of query and reporting system, and statistical methods. This methodology is passive because decision-makers must make decisions based on their own hypotheses or define the criteria of data extraction, then use analytics tools to find answers and match them to their original hypothesis.
Data Mining
At this stage the process consists of a number of active business intelligence methodologies whose purpose is to extract information and knowledge from the data. This methodology contains a number of mathematical models for pattern recognition (pattern), machine learning and data mining techniques.
Optimization
At this stage results in a solution where the best solution should be chosen from the many alternative solutions available, and usually very much and varied or varied.
Decisions
At this stage the main problem is how to determine the final decision to be taken which is known as the decision making process. Although the business intelligence methodology is successfully applied, the choice to make a decision remains with the decision makers.
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