3.12 Data Analysis Tools

Large‑scale data analysis requires specialised storage solutions:

• Data warehouse – stores structured data for reporting and analysis
• Data lake – stores structured and unstructured data in raw form
• Data mart – a smaller, subject‑focused subset of a data warehouse

Use: Supporting large‑scale and long‑term data analysis.

Data analysis tools process stored data to extract insight:

• Data mining – discovering patterns, trends, and relationships
• Reporting – presenting analysed data in structured outputs

Use: Supporting decision‑making and performance monitoring.

Business intelligence uses analysed data to support organisational goals:

• Financial planning and analysis – forecasting and budgeting
• Customer relationship management (CRM)
• Customer data analytics
• Targeted communications

The scale of data determines which analysis tools are suitable. Small datasets can be analysed using basic reporting tools, while large or complex datasets require data warehouses, data lakes, and advanced data mining techniques.

Organisations must select tools that balance performance, cost, and complexity to support digital support and security operations effectively.