The Business Intelligence infographic in PowerPoint format includes five slides. Firstly we explore what is Business Intelligence? Then are the three levels of the hierarchy and definition of Business intelligence. Finally it is the data categories and implementation steps. As the same series, you can also find our Data Mining, Cloud platform, Machine Learning, Internet of Things, Artificial Intelligence, Industry 4.0 and BlockChain, Digital marketing, Big data PowerPoint templates.
Slide 1, What is Business intelligence?
Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information. With the help of data storage, data warehouse technology, OLAP/Analytics, data mining, and predictive analysis technologies, it combines the internal data and external data to come out with operational and strategic decisions. Operational decisions could be product positioning and pricing, while strategic ones would be ultimate goals, top priorities and development directions.
Slide 2, The hierarchy of Business intelligence
There are three levels of Business intelligence, from the lowest to the highest are data tables, data analytics and data mining. The higher the level is, the more difficulty the implementation would be. Nowadays most of the companies have used data tables to provide some reports at regular basis. At the same time, some companies have also adopted advanced analytical tools to present multi-dimensional relationships. It is just a few enterprises enjoy the capabilities to deploy data mining tools to uncover the potentials of huge stream of data.
Slide 3, Business intelligence definition
The definition of BI is the combination of data collection, data storage and Knowledge Management. Firstly data collection is the process of gathering and measuring information on targeted variables in an established system. Then data storage is the recording (storing) of information (data) in a storage medium. Lastly Knowledge Management is the process of creating, sharing, using and managing the knowledge and information of an organization.
Slide 4, Three Data categories
It is well known that we have data categories of structured data, semi-structured data and unstructured data. At first glance, structured data is an abstract model that organizes elements of data and standardizes how they relate to one another and to the properties of real-world entities. Then semi-structured data is a form of structured data that does not obey the formal structure of data models associated with relational databases or other forms of data tables. Furthermore unstructured data is Information that either does not have a pre-defined data model or is not organized in a pre-defined manner. Unstructured information is typically text-heavy, but may contain data such as dates, numbers, and facts as well.
Slide 5, BI implementation
There are 7 steps for BI implementation in total. We will discuss them one by one below. At the beginning, it is to identify Business Needs and Priorities, setting the directions of the whole project. Then it comes to the stage of Applications and Data Analysis, presenting what is the data sources and applications from needs. Following by Data Collection, Cleaning, Mapping, Integration, lots of work need to extract, transform and load (ETL) the data into data warehouse systems. Next would be Data Processing, Modeling step, where variables selection and model development is conducted. The last three steps are Data Visualization, User Interface design, Testing and launching step, regular Operation and Maintenance step.
For detailed info on it, please refer to Wikipedia.
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