The library keeps growing.
New business cases are added regularly. Every addition is listed with the date it went live. Right now: 136 exercises in 20 courses.
30 October 2026
78 new exercisesMarketing analytics: spend, leads and CAC
Marketing analytics: spend, leads and CAC
Marketing analytics: spend, leads and CAC
Marketing analytics: spend, leads and CAC
Marketing analytics: spend, leads and CAC
Marketing analytics: spend, leads and CAC
Marketing analytics: spend, leads and CAC
Marketing analytics: spend, leads and CAC
Sales pipeline: win rates, cycles and quota
Sales pipeline: win rates, cycles and quota
Sales pipeline: win rates, cycles and quota
Sales pipeline: win rates, cycles and quota
Sales pipeline: win rates, cycles and quota
Sales pipeline: win rates, cycles and quota
Sales pipeline: win rates, cycles and quota
Sales pipeline: win rates, cycles and quota
Product analytics: usage, activation and retention
Product analytics: usage, activation and retention
Product analytics: usage, activation and retention
Product analytics: usage, activation and retention
Product analytics: usage, activation and retention
Product analytics: usage, activation and retention
Product analytics: usage, activation and retention
Product analytics: usage, activation and retention
Finance reporting: revenue, receivables and cash
Finance reporting: revenue, receivables and cash
Finance reporting: revenue, receivables and cash
Finance reporting: revenue, receivables and cash
Finance reporting: revenue, receivables and cash
Finance reporting: revenue, receivables and cash
Finance reporting: revenue, receivables and cash
Finance reporting: revenue, receivables and cash
People analytics: headcount, pay and org structure
People analytics: headcount, pay and org structure
People analytics: headcount, pay and org structure
People analytics: headcount, pay and org structure
People analytics: headcount, pay and org structure
People analytics: headcount, pay and org structure
People analytics: headcount, pay and org structure
People analytics: headcount, pay and org structure
Defend the number: SQL traps that mislead
Defend the number: SQL traps that mislead
Defend the number: SQL traps that mislead
Defend the number: SQL traps that mislead
Defend the number: SQL traps that mislead
Defend the number: SQL traps that mislead
Defend the number: SQL traps that mislead
Defend the number: SQL traps that mislead
Finance analyst interview: defend the close
Finance analyst interview: defend the close
Finance analyst interview: defend the close
Finance analyst interview: defend the close
Finance analyst interview: defend the close
Data analyst interview: make the metric trustworthy
Data analyst interview: make the metric trustworthy
Data analyst interview: make the metric trustworthy
Data analyst interview: make the metric trustworthy
Data analyst interview: make the metric trustworthy
Junior engineer interview: query the application data
Junior engineer interview: query the application data
Junior engineer interview: query the application data
Junior engineer interview: query the application data
Junior engineer interview: query the application data
Senior engineer interview: reason about data grain
Senior engineer interview: reason about data grain
Senior engineer interview: reason about data grain
Senior engineer interview: reason about data grain
Senior engineer interview: reason about data grain
Product analyst interview: activation and retention
Product analyst interview: activation and retention
Product analyst interview: activation and retention
Product analyst interview: activation and retention
Product analyst interview: activation and retention
Marketing analyst interview: acquisition math
Marketing analyst interview: acquisition math
Marketing analyst interview: acquisition math
Marketing analyst interview: acquisition math
Marketing analyst interview: acquisition math