Metrics are one of the most important and durable primitives in a company. And if data teams are looking to create value FAST… they have to learn how their businesses work.

To figure out how you business works, you have to find the right starting point; back to the METRICS.

Join Tim, Juan and special guest Abhi Sivasailam from Levers Lab on this week’s episode of Catalog & Cocktails to hear more about the most valuable use cases.

Episode highlights:

• [00:09 - 02:45] Introductions & Cheers
• [02:49 - 03:42] Warmup: What are things in life that you wish happened faster?
• [03:49 - 04:57] Abhi's talk about data teams and company growth models
• [04:59 - 07:21] There's too many data people
• [07:24 - 08:57] What are people wasting their time on: variance and standardization
• [09:01 - 11:07] Challenges to understanding the business and growth models
• [11:12 - 13:03] Metrics form the core of well-defined end states
• [13:05 - 15:03] What Abhi thinks of as a metric, and how it ties into the knowledge graph
• [15:04 - 16:37] A plan of attack improves semantic knowledge and avoiding building as you go
• [16:47 - 17:51] The accretive development problem
• [17:53 - 22:48] A core structure of standards with uniqueness layered on top
• [22:53 - 25:30] Focus on specificities instead of repeated work
• [25:46 - 27:24] Not a bridge too far to say the semantic layer doesn't need to be that creative, but more standardized
• [27:32 - 29:09] Abhi thinks automated integration is impossible
• [29:19 - 32:29] Arbitrary uniqueness vs being coupled to an open standard
• [32:31 - 33:40] SOMA
• [33:42 - 36:22] How does SOMA affect a data person's life, and how does a company adopt the standard?
• [36:23 - 40:09] Building a web of metrics for growth
• [40:12 - 42:06] The relationship between metrics, SOMA, and OKRs
• [42:31 - 49:56] Lightning round
• [50:00 - 55:27] Takeaways
• [55:29 - 57:59] Three final questions