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Magical Metrics with Omni

Tom Tunguz

Anyone who has managed a larger BI deployment has faced the challenge of managing hundreds, perhaps thousands of metrics. In the BI tool, a marketing analyst finds three metrics: cost_of_customer_acq, CAC2, & new_CAC. Data brawls - disputes between teams about metrics definitions - break out. Give it a try here.

Metrics 259
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Analyze All the Things : Data Omniscience with Omni

Tom Tunguz

Within data teams, a tension exists. Centralize the data analysis to ensure accuracy or enable end-users to analyze their own data directly which is faster & more direct. Cloud databases ushered in an opportunity to centralize that data analysis again. Users work with their own metrics definitions.

Data 144
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15 Signs You Have A SaaS Metrics Problem (and How to Fix it) with Dave Kellogg, EIR at Balderton Capital

SaaStr

Dave Kellogg, EIR at Balderton Capital and 25-year C-level veteran, shares the top 14 signs that you have a SaaS metrics problem, the five reasons those symptoms exist, and a SaaS metrics maturity model with five layers to help you move the needle at every stage. The 15 Types of Misuse and Abuse of SaaS Metrics #1: Bludgeoning.

Metrics 323
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Mailchimp’s ex-Head of Data Platform: “Data Doesn’t Have to be Hard — Three Data Myths and How to Bust Them”

SaaStr

Data Doesn’t Have to be Hard: Three Data Myths and How to Bust Them with Mailchimp with John Humphrey, former Head of Data Platform Product at Mailchimp John Humphrey, former head of data platform product at MailChimp and current principal at mfact, joined SaaStr live at Workshop Wednesday to discuss three data myths and how to debunk them.

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The 10 KPIs Every Product Leader Needs to Know

Product teams have access to tons of data these days—volumes more than we’ve ever had before. Overcoming it requires knowing exactly which metrics are the most important to track. But the sheer scale of what's available has many of us at a loss for how to best harness it all to measure product success.

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Top 10 Trends in Data & AI at the Impact Summit

Tom Tunguz

On November 8th, I’ll share my 10 Top Trends in Data & AI at the IMPACT Summit. Last year, I covered 9 topics: Cloud data warehouses will process 75% of workloads by 2024. Data workloads segment into in-memory, cloud data warehouse, & cloud data lakes. Metrics layers unify the data stack.

AI 221
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15 Digital Product Metrics You Should Track for SaaS

User Pilot

Digital product metrics reveal how customers interact with your product. However, not all metrics are created equal. In this article, we hone in on the best metrics for product teams looking to drive product growth. We discuss 15 of the most important metrics and examine what to consider when choosing which metrics to track.

Metrics 104
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How Leveraging Data Creates Efficient Product Roadmaps

Speaker: Hannah Chaplin - Product Marketing Principal & Steve Cheshire - Product Manager

Without product usage data and user feedback guiding your product roadmap, product managers and engineers end up wasting money, time, and effort building what they think stakeholders want, rather than what they know they need. To accomplish this, product teams must regularly evaluate specific metrics that will yield the most insight.

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Business Monitoring Systems: Using ML to Analyze Metrics

This whitepaper discusses how automated business monitoring solutions like Yellowfin Signals revolutionize the way users discover critical and relevant insights from their data. Download to learn: 5 business benefits of automated data discovery with ABM. The evolution of dashboards to automated business monitoring.

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The Product Corner: Maximizing Impact, Reducing Hours, and Accelerating Roadmaps with Data

Speaker: Edie Kirkman - VP, Digital at Focus Brands

To overcome this challenge, it is crucial to build core product and technology competencies that provide actionable insights through qualitative and quantitative data analysis. By leveraging data-driven insights, companies can accelerate time-to-market, enhance product quality, and align offerings with customer needs.

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Are You Tracking The Right Product KPIs?

We’ve all got loads of data at our fingertips. Which metrics are the most valuable to keep an eye on? In this eBook, we share the top 10 KPIs every product pro should know. Some of them might already be familiar to you, but others will be brand new.

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Best Practices for a Marketing Database Cleanse

Multiple industry studies confirm that regardless of industry, revenue, or company size, poor data quality is an epidemic for marketing teams. As frustrating as contact and account data management is, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information.

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Trusted AI 102: A Guide to Building Fair and Unbiased AI Systems

Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data. How to choose the appropriate fairness and bias metrics to prioritize for your machine learning models.