Data basics: data in a bank and data quality

Module 02 / 5 · 55 min

Understand the kinds of data a bank holds, where they come from, and how to judge whether a data set is good enough for a decision or a report.

In this module you will learn to

Distinguish numbers, text, dates and categories, and lay data out as a clean table
Name the main data sources in a bank and what each one holds
Assess a data set on six quality dimensions and log the issues found
Explain how poor data quality harms decisions, regulatory reports and customers

Built on

Erudite Africa course specification: 4.e Data Analytics and Digital Literacy, Level 1 (October 2026)
Erudite Africa: Training Module, Ethiopian Context, programme overview and regulatory register (October 2026)
NBE directives as listed in the lessons: SBB/87/2024, SBB/90/2024, SBB/95/2025; FCP/01/2020 and CRB/02/2019 (as reported)
Personal Data Protection Proclamation No. 1321/2024, Electronic Transaction Proclamation No. 1205/2020, Computer Crime Proclamation No. 958/2016 and National ID Proclamation No. 1284/2023 (as reported)
Course worked example: the fictional Hawassa Tabor branch data set

Examples and organizations are fictional. Apply your own organization's approved policies.