What is Business Intelligence?

What is Business Intelligence?

 Hi, found the right article to answer your question.
 First let's imagine that we went to his favorite store to buy some smoked cheese. When you pay goes to the cashier and pays for the smoked cheese that you want to eat, and we leave the store, you may or may not know that your favorite store has gathered some new data on the smoked cheese you bought, at what time you bought it, and how much you paid.

Now I want you to take the place of the director of the Smoked Cheese House, who forncece the cheese for your favorite store. Day after day He has to find out how many blocks of smoked cheese, He should provide. The only possible way for him to guess this is if he knows how many cheeses customers are buying. Now, with the data obtained, the director of Smoked Cheese House would have to analyze every transaction made throughout the day to see how much smoked cheese was bought.

But that would take too long, and since it is an action that the director of Smoked Cheese House needs to take every week, he decides to use a Business Intelligence tool to provide this information. Using a Business Intelligence Tool allows information to be regularly placed and formatted correctly so that the Director can make a much more educated decision about how much smoked cheese to buy. In addition, now that the director has more time on his hands, he can analyze in much more detail. So basically you can think of Business Intelligence as the process of moving from raw data to readable information and simple understanding. Now consider how broad the Business Intelligence space is. For example, have you ever received a receipt from an ATM that provides a current balance in your bank account? Or maybe you've already received a detailed invoice in the mail? These are all forms of Business Intelligence (or BI).

We will take some time and look at some common forms of BI: First, let's talk about the Operational Report. This form of reporting is similar to the detailed invoice in the mail or ATM receipt. It provides a very structured model of how the data should be delivered to the end user. The end-user experience needs to be considered in much more detail because the path of analysis and how the person consumes the data is usually nested in the report templates.

Secondly, we have AD-HOC reports. This type of report is intended to enable a business person to play the reporting role. By doing so, the appearance, content, and content of the report can be controlled by your consumer. Most AD-HOC tools have incorporated design and navigation assumptions to prevent the business person from being overwhelmed with the complexity of information. Queries and their structures are maintained by IT and are developed in conjunction with corporate user inputs.

Third, we have the OLAP analysis. This type of analysis provides pre-calculated and pre-structured data sets for executives to explore. Many tools that connect to OLAP look more like data navigation tools than pure reporting tools. I launched a much more comprehensive OLAP video on the Intricity101 channel titled "What is OLAP."

Fourth, we have the data visualization. This is a category that has recently emerged in popularity and encompasses a domain in BI that I like to call microdecisions. In Data Visualization, data rollup is commonly driven by algorithms and stored in memory. This makes the BI experience much more plug and play in nature. And it also allows the business to answer a question in a much simpler way. As the roll up of data usually occurs automatically, it also tends to be very processor intensive and query intensive. Fifth, we have panels. As you hoped, panels typically represent a high-level view of an organization. This prevents the executive from having to flip through hundreds of reports and data elements. If a problem area appears on the dashboard, the executive can detail the alert to see a more detailed report. Often, panels are simply compositions of the various data delivery methods just discussed. Each of the delivery methods I described above is usually part of a set or platform for managing the various forms of content. This means that everything from scheduling automated reporting to maintaining secure data is done on a single platform.

Now, I'm sure there are more than a dozen forms of Business Intelligence. This video is not meant to cover all the features you can consume. But we hope you can get a sense of some common ways companies are turning raw data into understandable information. However, the front end of Business Intelligence is really just the tip of the iceberg. The real work in providing consistent information happens behind the scenes in Data Marts and Data Warehouses. Generally, if a business is not satisfied with the Business Intelligence tool, something is wrong in the back-end Data Warehouse.

Business Intelligence (Industry), Business Intelligence Tools (Technology Class), Reporting, Crystal Reports (UoA Technology), MicroStrategy (Business Operation), Business Objects (Business Operation), Cognos (Product Line), QlikTech (Business Operation), Tableau Software (Organization), Spotfire (Organization), jedox, intricity101