FI310 · Unit 9

FI310 Unit 9 financial inclusion analysis example

FinTech Principles and Concepts Purdue University Global Free custom sample in 24 to 48h

Signups are not inclusion, and FI310's Unit 9 analysis tends to reward papers that can tell the two apart. This example examines a composite no-fee, app-only checking account launched in a mid-size city, which opened 31,000 accounts in its first year, and asks how many of those people had been outside the banking system before and who still is.

What this page holds

Of 31,000 new accounts, about 5,600 went to previously unbanked households: an FI310 Unit 9 financial inclusion analysis separating switchers from newcomers and naming who the app missed. Searches like "fi 310 unit 9 assignment example", "fi310 unit 9 sample" and "fi310 unit 9 example" land here.

What a finished FI310 Unit 9 financial inclusion analysis looks like

Roughly five pages, divided between those reached and those left out. The opening sets the product's features against the barriers unbanked households commonly report: minimum balances, overdraft fees, branch hours and distrust of banks. A findings section uses a composite signup survey to split the 31,000 accounts: 71 percent switched from another bank, 11 percent had relied on check cashers alongside an account, and 18 percent, about 5,600 people, had no account at all. The gains are real for that last group, especially former customers pushed out by overdraft fees. Then come the excluded: workers paid in cash, who pay 4.95 dollars per retail load; applicants whose identification fails the automated check; and residents without a smartphone or a reliable data plan.

How a FI310 Unit 9 example is structured

Access is measured before it is praised. The paper first defines inclusion for its purposes, a household moving from no account to a used account, and explains why account openings overstate it. Barriers come next, drawn from the kinds of reasons national household surveys record, so each product feature can be matched to the barrier it lowers. The findings section presents the signup split in a small table and then follows each group separately. A gains section treats the previously unbanked seriously, describing what an account with no overdraft replaces for someone who had been using a check casher at 2 percent of every paycheck. The exclusion section works through the three groups the design leaves out, each tied to a specific feature: cash loading fees, automated identity checks and a smartphone requirement. Recommendations are limited and costed.

Inclusion defined narrowly

A household counts as included when it moves from no account to one it actually uses, a definition that removes most of the 31,000 signups at once.

Switchers, underbanked, newcomers

Seventy-one, eleven and eighteen percent of accounts respectively, with the eighteen percent given the most attention because they answer the unit's question.

What a no-overdraft account replaces

For a former check casher customer, the account removes a 2 percent fee on every paycheck and the risk of carrying cash, gains the paper quantifies for one composite worker.

Paid in cash, charged to load it

A worker depositing cash four times a month pays about 20 dollars in retail load fees, more than many basic branch accounts charge, so the app's no-fee promise does not reach them.

Identity checks and phones

Automated document and database verification rejects some recent immigrants and people with thin records, and the app offers no human fallback; residents without smartphones never reach the application at all.

Where marks go in FI310 Unit 9

Inclusion papers are most often marked down for counting accounts opened as people included. A product that mostly attracts customers switching from other banks may be a good business and still do little for the unbanked, and FI310 rubrics usually expect that distinction drawn with figures. Exclusion described in general terms, such as the digital divide, without being tied to a feature of this product, draws the next deduction. Treating the unbanked as a single group costs marks too, since a cash-paid worker and a recent immigrant are shut out by different barriers. Recommendations that would remove the product's economics, such as waiving every cash fee, read as unserious unless the cost is acknowledged. Credit for genuine gains, given before the gaps are named, is what separates the stronger analyses.

Get a FI310 Unit 9 example written to your instructions

Point to the product your Unit 9 prompt assesses and the population it claims to serve, and include any data your section supplied along with the FI310 rubric and instructions. Inclusion is defined, switchers are separated from newcomers where the figures allow, and every exclusion is tied to a product feature. The first custom sample is free, in 24-48h.

FI310 Unit 9 questions, answered

Where can I find data on unbanked households?

The FDIC runs a recurring national survey of household use of banking and financial services, with breakdowns by income, age, race, disability and region, and it records the reasons households give for not having an account. Local figures are harder to find. The sample's signup split is composite, and it is labeled as such so a reader never mistakes it for survey data.

Should the analysis recommend changes to the product?

Briefly, and with the cost stated. The sample proposes two: a fee-free cash load at partner stores once a month, priced at roughly what the fintech pays the retail network per load, and a video-call fallback for applicants whose documents fail the automated check. Recommendations that ignore how the product earns money tend to be read as unrealistic.

How does this unit connect to the rest of FI310?

It applies the course's question, what a technology displaced and what that cost, to people rather than processes. The app displaced the check casher and the branch, and the sample asks who benefited from that displacement and who was left paying the old costs or new ones. Earlier units on lending and payments feed directly into it, particularly the automated identity and underwriting checks.