Data Talks, Episode 17Data Talks is Exago’s podcast on all-things business intelligence, analytics, and application software. This month, we are rejoined by CloudKPI co-founder CEO Maeve Kneafsey for a discussion on reporting to investors for SaaS companies. Knowing which metrics to include at which stages of growth can be a challenge, as can getting at the stories behind those metrics. Kneafsey shares her expertise on the subject and explains how machine learning and predictive algorithms are helping SaaS providers surmount these reporting challenges.
Segment 1: Reporting to Investors
(2:00) Pre-investing practices: getting investors interested.
(5:40) Targeting the right investors.
(7:26) Reporting frequency and format.
(9:40) How investor reporting evolves over time.
(14:00) Cohorts and granularity.
(18:00) AI and machine learning.
(25:00) Consolidated metrics.
(32:10) Finding metrics for qualitative markers.
(34:00) Going to investors with unusual or surprising data stories.
(36:30) Where to find what metrics to include on investor reports.
Segment 2: What We Are Nerding Out About
(42:40) Maeve: WordPress plugin If>So!
(44:30) Nicole: Crisis Text Line’s triage algorithm!
(46.00) Alex: a decentralized or distributed internet (dweb)!
About Exago BI:
For SaaS businesses looking for embedded BI solutions, Exago supports providers and their users by making it easy for business professionals to access and manipulate their data, no matter their technical qualifications. Exago BI integrates seamlessly with web-based SaaS applications to bring ad hoc reporting and analytics to any multi-tenant environment. Our dedication to customizable integration allows us to prioritize usability without compromising on power. Contact us today for more information.