Magical Metrics with Omni
Interactively Analyzing a Large Data Set with Omni

Magical Metrics with Omni

In August, I wrote about why?Omni’s?technology?reinvents BI once more. The Omni founding team hails from Looker & Stitch. They've set out to solve the problems customers faced with the previous generation of BI.

Today, I can show you what this means in practice because Omni is available to everyone.

Anyone who has managed a larger BI deployment has faced the challenge of managing hundreds, perhaps thousands of metrics. As more users calculate figures, consistency across teams becomes a company-wide challenge.

Marketing & sales define revenue or leads or cost-of-customer acquisition differently. In the BI tool, a marketing analyst finds three metrics: cost_of_customer_acq, CAC2, & new_CAC. Which is the right one to use??Data brawls?- disputes between teams about metrics definitions - break out.

Omni solves these problems.

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In the video above, a data analyst writes SQL to understand the business’ customers’ buying behavior. Omni identifies the metrics calculated by the query & surfaces them in the toolbar. The analyst creates a new field, Total Sales Sum, with the UI then filters the output by country. Last, Omni visualizes the data.

Omni enables an analyst to calculate a metric, promote it to a top-level field within a notebook, & then broadcast it to the entire organization - all without writing LookML or any other modeling language.

Workflows exist for metrics management. The BI team and the CFO may decide they would like to approve this metric before the business declares it the gold-standard.

This subtle workflow innovation cascades into deceptively large organizational change.

Users define metrics at the edge of the organization: the marketing team, the sales team, the operations team. Teams refine metrics over time, then promote them to the entire organization after approval.

Technical analysts can build models from code if they prefer crafting the data model from the bottom-up also.

Both paths lead to beautiful & interactive visualizations that use modern technologies to render quickly.

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Omni picks up where the previous generation of BI left off : enabling organizations to define metrics, promote them to the company, then manage thousands of metrics while moving with the confidence of consistency across teams.

Take it for a spin here.

Dan Lezala

Executive Director @ Legend | Passionate about all things business | Online Marketing | Building better experiences ??

2 年
Peter Woolston

Innovation & Growth Advisor. Supporting innovative brands and purposeful leaders to plan and deliver their digital future (within the doughnut). Emerging tech scout. Founding Partner @ Thrive Club. FRSA.

2 年

In my experience (retail and consumer), it's less about choosing what metrics to use to analyse performance, more about knowing the right metrics to use in the first place. For instance, CAC is rarely a good metric as it focuses on a single point in time (i.e. sales attribution) and doesn't factor in lifetime value. Much better to analyse the lifetime value of cohorts that have originated from a particular product sale or a specific keyword, for example. You should check out omnicommerce - easily the smartest insights and analytics tool for ecommerce that I've come across in my time in the industry...

Interesting to see yet another BI tool in 2023! From what I can tell, this seems to bring the best of Tableau (rich visualizations) and Looker (SQL-centricity) in a package, with the key differentiation being workflows around collaborative, centralized metrics management. Would that be the right high-level characterization?

Adrian Daniels

I make podcasts about Ghanaian Entrepreneurs, Creatives and Executives ???? | Podcast Mentor and Consultant |

2 年

This looks interesting!

Would be nice if the website had some actual examples? Does it do prediction etc?

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