CompTIA Data+ case studies
CompTIA Data+ · Put your knowledge to work in context.
CompTIA Data+ is described by CompTIA as the only entry-level, vendor-neutral, hands-on data analytics certification on the market, aimed at professionals tasked with developing and promoting data-driven business decision-making. It suits people starting or formalizing a data analysis career, and also people who work with data regularly without specializing in it - analysts in finance, operations, marketing, or business roles who need to clean, query, and present data credibly. The CompTIA Data+ case studies are 5 cases and about 4,232 words.
1Three Sources, One Revenue Model
Northwind Outfitters has completed three acquisitions in 18 months and reporting now stitches together three sources: an OLTP order system emitting one row per line item with a surrogate order key; nightly CSV extracts from a legacy POS that repeat the full customer address on every row and reuse the same customer id in every store; and a JSON product feed where each product carries a nested array of supplier records. Analysts currently join these in Excel.
841 words, about 4 min2The 96.8% Churn Model
A streaming subscription service asks an analyst to build a churn model so the retention team can target outbound calls. The training set is 480,000 subscriber-months, of which 14,400 (3%) are labeled churned.
819 words, about 4 min3The Checkout Test That Won by Losing
A retailer tests a new checkout flow for 4 weeks. Assignment is a client-side JavaScript flag; on the mobile app the flag was suppressed for app versions below 5.2, which cover roughly 80% of app sessions.
766 words, about 4 min4The Dashboard Nobody Reads
A regional health network emails a weekly PDF dashboard to 30 clinic managers. The current version contains a dual-axis combo chart plotting appointment volume as bars on the left axis and no-show rate as a line on the right axis, with the bar axis starting at 4,000 instead of zero.
860 words, about 4 min5PII on the Dev Server
A hospital analytics team copies the production EHR extract to a shared internal dev server every night so analysts can prototype. The extract contains patient name, date of birth, medical record number, and ZIP.
946 words, about 5 min