Data Analytics is the process of analyzing raw data sets to get meaningful information from massive data sets. It helps generate insights from the data and help organizations make data-driven decisions that can increase revenue, improve sales and marketing campaigns, customer service, and many more.

Data Analytics in the finance sector plays a crucial role to forecast the future, calculating profit and sales, developing methods to improve business, and many more.

Many informal financial service entities offering credit facilities to customers, members and groups do not demand security or collateral for loans. Some leverage on social mechanisms such as the use of guarantors in specific social circles or groups. Others utilize group lending where members of the group collectively ensure the group does not default on loans. Regardless the mechanisms against loan default employed, it is trite that historical loan repayment performance of groups, members or individuals is a key metric for decision making in granting loans. Optimally leveraging Data Analytics offer potentials for much better growth and development for the informal financial services sector and its players.

The Financo Platform provides automated and non-automated data analytics for informal financial service organizations and groups that cut across the various information segments on the platform to provide a level of insight not individually achievable by any of the organizations or groups.

The Data Analytis helps the organizations and groups: