For a decade, analytics grew bigger but answered less.

Analytics should help decision-makers answer four questions:

• What happened?
• Why did it happen?
• What will happen?
• What should we do?

These questions support informed decisions based on data. But analytics has become increasingly complex. Data integration, modelling, storage, security, privacy, governance, and pipelines often require significant time and expertise.

This can lead to analysis paralysis, where organisations spend more effort preparing data and evaluating options than making decisions.

Closing the gap between data and decision.

The answers are often already present in data from existing systems. The challenge is extracting them quickly, reliably, and without extensive technical knowledge.

AI has improved this process, but AI alone is not sufficient. Without the right context, controls, and safeguards, its results may be difficult to trust and scale.

Our mission

Majie’s mission is to bring analytics back to its core purpose:

• Help leaders make confident, data-informed decisions with minimal effort.
• Maintain accountability, privacy, and security throughout the process.

Founded by a product leader with experience building highly regulated payments products at global payments network, Majie brings enterprise-grade operating discipline and experience with complex data at scale to practical AI analytics and automation.