BI and Data Warehousing
The tools, procedures, and methods used to gather, combine, analyse, and present data for the goal of assisting business decision-making are referred to as business intelligence (BI). BI systems are designed to help organizations transform raw data into meaningful and actionable insights, enabling them to make better informed business decisions, optimize operations, and improve performance.
Data warehousing is a key component of many BI systems. A data warehouse is a central database created to facilitate effective data querying and analysis by business intelligence and analytics technologies.. Data warehouses typically include large amounts of historical data that is collected from a variety of sources, such as transactional databases, log files, and external data sources. The data is cleaned, transformed, and structured in a way that makes it easier to analyze and report on.
Data warehouses often use a technique called extract, transform, load (ETL) to populate the warehouse with data. ETL involves extracting data from various sources, transforming it into a standardized format, and loading it into the data warehouse.
BI systems often include a range of tools and technologies for querying and analyzing data in the data warehouse, such as dashboards, reports, and data visualization tools. These tools allow users to slice and dice data, drill down into details, and create interactive charts and graphs to explore data and discover trends and patterns.
Overall, BI and data warehousing are essential components of many organizations’ data management and analytics strategies, helping them to turn data into actionable insights and drive business growth and success.
Business Intelligence (BI) and Data Warehousing are closely related concepts that work together to provide organizations with insights into their business operations. The data is then cleaned, transformed, and integrated into a single, centralized repository called a data warehouse. This allows organizations to easily access and analyze their data, regardless of where it came from.
Once the data stored in the data warehouse, Business Intelligence (BI) tools can be used to extract insights and patterns from the data. BI typically includes the following components:
- Data Analysis: This refers to the process of using various techniques, such as SQL queries, data mining, and statistical analysis, to extract insights and patterns from the data.
- Reporting: This refers to the process of creating and delivering reports, dashboards, and other visualizations that present the data in a meaningful and actionable way.
- Data Visualization: This refers to the process of using charts, graphs, and other visual aids to make it easy to understand and analyse the data.
BI solutions like QlikView are widely used in various industries such as finance, healthcare, retail, and manufacturing to help organizations gain insights into their business operations, improve decision making, and track performance.
In summary, a Data warehouse is the foundation of Business Intelligence, where data is stored and integrated, and Business Intelligence is the process of analyzing that data to gain insights and make better decisions.