Africa Startup Deals Database The Big Deal Test Bank

Analytics coursework changes character the moment you close the tidy textbook table and open a file that real people maintain. The Africa Startup Deals Database (The Big Deal) is that kind of file: a deal-by-deal record of venture funding raised by startups across the African continent, organized around the fields a funding record needs rather than around a lesson plan. Working with it means handling company names spelled three ways, rounds where the amount was never disclosed, and businesses that refuse to sit in one sector column, which is exactly the work a systems or analytics assignment is meant to teach.

Why this database helps

Cleaning and querying a real dataset is a skill invented numbers cannot teach, because invented numbers arrive clean. A funding record gives you the awkward cases that make a method matter: how to treat an undisclosed round before computing an average, and whether a spike is a trend or one enormous deal. Having to defend those choices in a write-up is what separates analysis from a spreadsheet exercise.

What’s inside

• Funding activity recorded one round at a time, so the file can be filtered, sorted and pivoted without being restructured first.
• Deal-level attributes covering the company, where it is based, the sector it works in, the stage of the round and the amount reported.
• Investor names where a round disclosed them, which is what makes syndication and repeat-investor questions answerable at all.
• A date on every record, so quarter-on-quarter trends, seasonality and year-over-year comparisons come out of the file itself.
• Delivered as a digital file immediately after checkout, ready to open in a spreadsheet or import into a database.

Topics covered

• Country-level activity — the concentration of deals in the largest African technology markets and the long tail of smaller ones.
• Sector composition — fintech, logistics, agritech, health, energy and commerce ventures sitting alongside each other.
• Round stages — pre-seed and seed through Series A and later growth rounds, and what each stage implies about company maturity.
• Deal size distribution — where ticket sizes cluster, and how a handful of very large rounds distorts an average.
• Investor participation — funds, accelerators, development finance institutions and corporate investors named in rounds.
• Time series questions — how announced funding moves across quarters and years, and how to read a series that has reporting lag in it.
• Data quality work — undisclosed amounts, name variants, currency and the judgment calls any maintained dataset forces on you.

Who it’s for

Undergraduate and postgraduate students in information systems, business analytics, entrepreneurship and development economics who need a genuine dataset for a coursework project, plus researchers, journalists and founders who want a structured view of African venture activity instead of a headline.

How to use it (the right way)

Write your question down before you open the file, because a dataset this open-ended will absorb an afternoon and leave you with nothing to submit. Keep the original untouched, clean a copy, and record every rule you applied. This is a reference and study resource. Use it in line with your institution’s academic-integrity and citation policy: cite the data where you rely on it, and never present a compiled dataset as your own fieldwork.

Sample record (shows the shape of the file — your download contains the full dataset)

Row. An illustrative record, shown to explain the structure rather than to quote any particular deal, reads across these fields:

• Company and country — the startup that raised, and the market it is headquartered in.
• Sector and stage — the industry label applied to the business, and whether the round was seed, Series A or later.
• Amount and date — the sum reported for the round, and when it was announced.
• Investors — the funds or institutions named in the announcement, where any were named.

Reading it. A single row is a round, not a company, so the same business appears several times as it raises again. Counting rows therefore tells you how many rounds happened, not how many companies exist, and any total only means something once you have decided how to treat the rounds where no amount was disclosed.

Edition & format

• Matches: Africa Startup Deals Database (The Big Deal) — a deal-level record of startup funding rounds raised across Africa.
• Format: Digital file, delivered instantly after checkout.
• Access: Lifetime access, with re-downloads from your account at any time.

No edition or ISBN applies to a dataset, and coverage necessarily ends at the date the file was compiled. Please check that the period and scope suit your assignment before buying. This is an independent reference resource and is not affiliated with, or endorsed by, any investor, publisher or data provider named in it.

Frequently asked questions

How current is the data? A deal database covers up to the date it was compiled, so treat the most recent months as provisional rather than settled. Check the latest date in the file against the period your assignment needs.

How do I receive it? The download link appears on your order confirmation page and in your account the moment checkout completes. Nothing is posted and there is no waiting period.

Can I use it in a report or dissertation? Yes, as a data source you cite like any other. State in your method how you cleaned it and what you excluded, because that is what makes the analysis reproducible.

Is using it allowed? Yes, as reference material for study and research. Follow your institution’s academic-integrity and citation policy, and attribute the data rather than presenting it as your own collection.

More study material for systems, data and analytics courses sits in Information Systems Test Banks.