New ask Hacker News story: Is SaaS reporting enough in today's data-driven world?

Is SaaS reporting enough in today's data-driven world?
2 by heraju | 1 comments on Hacker News.
Traditional SaaS reporting often involves a manual, time-consuming process of selecting and organizing data to generate insights. However, the logical way of building reports is just a fraction of what we can truly show our users. Imagine having a database with 150 tables – the sheer number of combinations for joins is staggering. Using the formula for combinations, we can calculate the total number of potential joins: C(n, k) = n! / [k! * (n - k)!] For our database scenario: n = 150 (total number of tables) k = 2 (number of tables selected for each join) Plugging these values into the formula: C(150, 2) = 150! / [2! * (150 - 2)!] After computation, we find there are 11,175 possible combinations of joins for our database. This complexity highlights why AI-powered reporting is superior. AI algorithms can swiftly navigate through vast amounts of data, identifying patterns and generating meaningful insights without being bogged down by manual processes. With AI, we can uncover correlations, trends, and outliers that might have otherwise remained hidden.

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