Data warehouse

What is it?

A Data Warehouse is a centralised system designed to:

• Collect, store, and manage large volumes of data from multiple sources.
• Structure data so that it can be easily accessed for analysis and reporting.

Data warehouses are optimised for:

• Complex queries.
• Analytical operations, not daily transactions.

The main objective of a data warehouse is to provide a reliable foundation for:

• Data-driven decision-making.
• Identifying patterns and trends.
• Measuring key performance indicators (KPIs).
• Planning future strategies.

Why filter companies by their usage?

Segmenting by data warehouse usage allows sales teams to tailor strategies:

• Companies with advanced infrastructure: Help them optimise current resources.
• Companies without data warehouses: Guide them towards robust solutions that enhance analytics and decision-making.

Companies that do use it

These companies already have advanced analytics infrastructure and are likely interested in:

• Optimisations: Performance improvements in existing systems.
• Integrations: With analytics and visualisation tools.
• Complementary services: Cloud cost optimisation or advanced analytics tools.

Your sales team could offer:

• Services to improve data warehouse performance.
• Migrations to more cost-effective cloud solutions.
• Implementation of advanced data visualisation tools.

Companies that do not use it

These companies may be storing data in:

• Decentralised systems.
• Transactional databases.

This limits their ability to perform deep and scalable analysis.

Your sales team could offer:

• Initial consulting: Assessment of analytics needs.
• Basic data warehouse implementation: To establish a solid foundation.
• Migrations from traditional systems: Helping them adopt modern solutions.

Examples