Foundations of Business Intelligence: Databases and Information Management

Business Intelligence

•is the process of collecting, analyzing, and using data to inform decision-making in a business setting.

Databases and information management

are essential foundations of business intelligence, as they provide the infrastructure for storing and accessing the data needed for analysis and decision-making.

Databases

•are organized collections of data that are stored and managed on computer systems.

Information Management

refers to the practices and technologies used to manage the flow of information within an organization, including the creation, storage, retrieval, and use of data.

Data Warehousing
Data Mining
Big Data
Business Intelligence Tools
Data Governance

Key concepts related to databases and information management in the context of business intelligence

Data Warehousing

is the process of collecting and storing data from various sources in a centralized repository, which can then be used for analysis and decision-making.

Data warehouses

are designed to support complex queries and analysis, and are typically optimized for read-intensive workloads.

Financial Services Industry
Healthcare Industry
Manufacturing Industry
Government Agencies

Examples of data warehousing

Financial Services Industry

This company may use a data warehouse to store information about customer transactions, account balances, and market data. The data can then be used for analysis to detect fraud, identify cross-selling opportunities, and monitor market trends.

Healthcare Industry

A hospital or healthcare provider may use a data warehouse to store patient information, including medical records, billing information, and insurance claims data. The data can then be used for analysis to identify trends in patient care, optimize treatment plans, and improve billing accuracy.

Manufacturing Industry

A manufacturing company may use a data warehouse to store information about production schedules, inventory levels, and supply chain data. The data can then be used for analysis to optimize production processes, reduce costs, and improve product quality.

Government Agencies

may use data warehousing to store information about citizens, including census data, tax records, and social security information. The data can then be used for analysis to inform policy decisions and allocate resources effectively.

Data Mining

is the process of analyzing large datasets to uncover patterns, relationships, and insights that can inform business decisions.

Data Mining

techniques include clustering, classification, and association analysis.

Retail Industry
Financial Services Industry
Healthcare Industry
Manufacturing Industry
Sports Industry

Examples of Data Mining

Retail Industry

can use data mining to analyze customer purchase history to identify trends and patterns in buying behavior. This information can be used to personalize marketing efforts, recommend products, and optimize pricing strategies.

Financial Services Industry

•Banks and financial services companies can use data mining to detect fraudulent transactions, analyze customer credit history to determine creditworthiness, and predict market trends.

Healthcare Industry

Healthcare providers can use data mining to analyze patient medical records to identify risk factors for certain diseases, predict patient outcomes, and optimize treatment plans.

Manufacturing Industry

•Manufacturing companies can use data mining to analyze production data to identify inefficiencies in the production process, optimize supply chain management, and predict maintenance needs.

Sports Industry

•Sports teams can use data mining to analyze player statistics to optimize game strategy, predict player performance, and identify undervalued players for recruitment.

Big Data

data refers to extremely large datasets that are too complex or diverse to be managed using traditional data processing tools.

Big data

technologies include distributed file systems, NoSQL databases, and Hadoop-based platforms.

Big Data

refers to the massive amounts of structured, semi-structured, and unstructured data that is generated by individuals, businesses, and machines every day.

Business Intelligence Tools

are software applications that provide tools for data analysis, visualization, and reporting.

Business Intelligence Tools

These tools can help businesses to gain insights into their operations, identify trends and opportunities, and make data-driven decisions.

Data Governance

refers to the policies and processes used to manage data within an organization, including data quality, security, privacy, and compliance.

Effective data governance

is critical to ensuring the accuracy, reliability, and security of business intelligence data

Tableau

is a data visualization and analytics platform that allows users to create interactive dashboards, reports, and charts. It supports a wide range of data sources, including spreadsheets, databases, and cloud services.

Power BI

is a business analytics service that provides interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their reports and dashboards.

QlikView

is a data discovery and visualization tool that allows users to create interactive dashboards, reports, and charts. It supports real-time data analysis and enables users to explore data from different angles and perspectives.

SAP BusinessObjects

is a suite of business intelligence tools that includes reporting, data analysis, and visualization capabilities. It supports a wide range of data sources, including SAP and non-SAP systems.

IBM Cognos

is a business intelligence and performance management software suite that includes reporting, analysis, dashboarding, and scorecarding capabilities. It supports a wide range of data sources, including spreadsheets, databases, and cloud services.