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Financial Services

Baobab is a financial services group with operations in seven countries on the African continent and one province of China.

Via its subsidiaries, Baobab provides financial services to half a million micro-entrepreneurs and small businesses, fulfilling its mission of broadening access to finance among those underserved by traditional banks.

Before:

Need for strong data governance and easy data accessibility across operations

Baobab Group embarked on an enterprise-wide digital transformation journey, starting with a complete redesign of their data platform with Google Cloud products. Their former business intelligence tool, had turned obsolete, leaving a legacy of fixed dashboards and poor access controls. To keep scaling, Baobab required a solution that would ensure data accessibility and strong governance.

Solution:

Collaborative, integrated and accessible data analytics system with Looker

To empower subsidiary stakeholders with a more collaborative data governance framework, we optimized the processes using Looker: data groups and smart scheduling for data sharing, persistent derived tables and advanced caching for query performance and actualization, user-friendly visualizations for reporting. With Looker, even non-technical users can execute full spectrum self-service analytics.

Baobab took advantage of Looker’s modeling capabilities to strike a perfect balance between timeliness and accuracy. Teams can now easily access data, run ad-hoc queries and drill down to row-level detail to perform self service analytics. With over 60 dashboards built and 200 active users, Baobab expects to convert 70% of their users in African subsidiaries to Looker by the end of the year.

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After:

A powerful BI system with user friendly interface & strong data governance

The Spaulding Ridge data team helped Baobab Group build-out a scalable analytics platform with powerful dashboarding, data modelling, monitoring and extraction capabilities. We led Looker training and enablement sessions for business users and data analysts.

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