DR.S.THULASIMANI | ASSISTANT PROFESSOR - MBA |COMPONENTS OF BI | SNS INSTITUTIONS

#snsinstitutions #snsdesignthinkers #designthinking
What Is Business Intelligence Architecture?
Business Intelligence Architecture refers to the framework of technologies, processes, and tools used to collect, store, manage, and analyze data to support business decision-making. The business intelligence architecture layers is designed to turn raw data into actionable insights by utilizing a combination of data management, data analytics, and data visualization.

Core Components of BI Architecture
1. Data Sources

Data sources are the origins of raw data, including transactional and operational data from databases, applications, and external sources. These sources feed into the BI system, providing the necessary information for analysis.

2. Data Integration

Data integration involves combining data from various sources into a unified format. This process is crucial for creating a comprehensive view of business operations. Data integration tools help in aggregating and storing data from disparate sources, ensuring that it is clean and consistent for analysis.

3. Data Storage

Data storage encompasses methods and technologies used to store data. This can include traditional data warehouses, data lakes, or on-premises data centers. Data warehouses are designed to store structured data and support complex queries and reporting. Data lakes, on the other hand, handle both structured and unstructured data, offering greater flexibility.

4. Data Management

Data management involves organizing, maintaining, and governing data to ensure its quality and integrity. Effective data management practices include data governance, data quality management, and data security.

5. Data Transformation

Data transformation is the process of converting raw data into a format suitable for analysis. This includes cleaning, aggregating, and structuring data to meet the needs of various BI tools and applications.

6. Data Analytics

Data analytics encompasses the techniques and tools used to analyze data and generate insights. This can involve descriptive analytics (understanding past data), predictive analytics (forecasting future trends collect data), and prescriptive analytics (recommending actions).

7. Data Visualization

Data visualization tools are used to present data in a visual format, such as charts, graphs, and interactive dashboards. This makes complex data more accessible and easier to understand.

8. BI Tools and Applications

Business Intelligence tools are software applications that help in analyzing and visualizing data. Popular BI tools include Oracle Business Intelligence, SAS Business Intelligence, and various other BI and analytics applications.

#snsinstitutions #snsdesignthinkers #designthinking
Business intelligence (BI) architecture comprises components like data sources, ETL (Extract, Transform, Load) processes, data repositories (data warehouses or data lakes), analytics and reporting tools, and presentation layers (dashboards). These components work together to transform raw data from various systems into actionable insights for decision-making, ensuring data is collected, cleaned, stored, analyzed, and visualized effectively.
Core components of a BI architecture
Data Sources: The origin of all data, which can be internal (like CRM, ERP, financial systems) or external (like social media, market data, or IoT devices).
ETL (Extract, Transform, Load): A set of processes that extract data from source systems, transform it into a consistent and usable format, and load it into a central repository.
Data Repositories: Central storage for data. A data warehouse stores structured data optimized for querying, while a data lake can store vast amounts of both structured and unstructured data.
Analytics and Reporting Tools: Software that analyzes the data and allows users to create reports, dashboards, and visualizations to help them understand trends and make decisions. Examples include tools like Tableau or Power BI.
Presentation Layer: The user interface where insights are displayed. This typically involves dashboards and reports that present information in an easy-to-understand format for business users.
Data Security and Governance: The policies and controls that ensure the confidentiality, integrity, and availability of data, including measures like data encryption and access restrictions.
Business Intelligence - Architecture - Tutorials Point
The storage systems are systems where BI data is stored and managed. The main storage is a data warehouse, which holds structured ...

Видео DR.S.THULASIMANI | ASSISTANT PROFESSOR - MBA |COMPONENTS OF BI | SNS INSTITUTIONS канала Dr. Thulasimani. S SNS