InterMedia’s Financial Inclusion Insights (FII) team is intent on ensuring users have greater -- and easier − access to FII’s rich bank of financial inclusion data through the Data Fiinder on With that in mind, the FII team just finished an upgrade to the Data Fiinder that creates a more user-friendly interface. It also includes new features that make it easier for users to explore data points and pull insights from six years of data collected across 13 countries, with the latest 2018 datasets now publicly available.

A new feature of the Data Fiinder tool is the customer journey segmentation. FII’s customer journey model illustrates the progression of a population from financially excluded to included, by advancing through each segment of the customer journey – from nonuser of a formal financial service to advanced user. Users can view this progression over multiple years by selecting the Financial Stage metric and a range of years. Alternatively, they can choose the Financial Stage metric for a single year, and view the customer journey segments by demographic groups (hovering over the chart will highlight the data points). In the example below, users can see that 20% of rural adults in Bangladesh were advanced users of their formal financial accounts in 2018.

Figure 1. Customer journey segmentation

In addition, the filter selector was improved to allow users to dig into data for a single year or multi-year data that compares metrics over time within a single country. For example, users can track financial inclusion growth in India over the last 5 years – from 47% in 2013 to 80% in 2017; users can also shrink or expand the year selector to change the range of the data.

When selecting a single year and country, users will now have the option to choose multiple metrics. For example, users can view registered bank, mobile money, and NBFI accounts among Kenyans in 2017. View the data as a grouped or stacked bar chart, or as a table (as shown below).

For those more interested in tracking the same metric across multiple countries, that option is now available. For example, the chart below shows the percentage of adults who were financially literate in each FII African country in 2017, and clearly shows Kenya has the greatest proportion of financially literate adults, followed by Uganda.

For users who want to deep dive into a specific country and a specific year, we have expanded the demographic breakdowns for each metric. People can toggle up to three demographic characteristics at once and explore, for example, the borrowing behavior of single, rural, women in Kenya.

We hope users will find the new Data Fiinder even more accessible and easier to use than before. Interact with our data, draw insights, and share with us your key findings. If your research needs go beyond the tool’s functions, the FII Program disseminates all of our raw datasets. Please submit a data request form here.

Additionally, we would love to hear feedback on our Data Fiinder tool and our work in general. Please take a moment to fill out this survey.

-- The FII Team

Financial Inclusion Insights ( is an ongoing research program funded by the Bill & Melinda Gates Foundation and designed to build meaningful knowledge about how the financial landscape is changing across eight countries in Africa and Asia (Bangladesh, India, Indonesia, Kenya, Nigeria, Pakistan, Tanzania and Uganda).