“Get Off the Floor” and Other Career Advice from Microsoft, Looker, Reddit & Twitter

First Round Review

Nick Caldwell's resume includes an enviable list of companies — Microsoft, Reddit, Looker and Twitter. He shares his biggest lessons from each for a crash course in finding success across different company cultures, scales & functions


Product Love Podcast: Daniel Mintz, Chief Data Evangelist at Looker


This week on Product Love, I sat down with Daniel Mintz, the chief data evangelist at Looker, a data exploration and discovery business intelligence platform. Read more » The post Product Love Podcast: Daniel Mintz, Chief Data Evangelist at Looker appeared first on ProductCraft by Pendo.


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What Google’s and SalesForce’s respective acquisition of Looker and Tableau Software means for…

Piyanka Jain

What Google’s and Salesforce’s respective acquisition of Looker and Tableau Software means for CIO’s The BI analytics tool space is consolidating to compete against Microsoft’s ensemble of Business Analytics(BA) products which promises to solve for the entire workflow?—?data With Google’s announcement to buy Looker for $2.6b

How I PM: Andrew Wynn, Product Manager at Looker and formerly Instacart


Current Company : Looker. Since the time of writing, Andrew has left Looker to start his own company. After a little over 3 years, I wanted to try my hand at SaaS enterprise products to learn about the differences between B2B and B2C, which brought me to Looker in July of 2017. I had been a Looker customer at Instacart and was blown away by the value of the product—and by its potential. Andrew Wynn’s path to product management isn’t your typical story.

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Products for Product People: Best Practices in Analytics

Speaker: Andrew Wynn, Senior Product Manager, Looker

Learn product analytics best practices from Andrew Wynn, Product Manager at Looker. How Looker incorporates analytics in their product development process. Who builds products for the product people?

The Inside Story of How This Startup Turned a 216-Word Pitch Email into a $2.6 Billion Acquisition

First Round Review

Looker went from a single customer to more than 1700, from a small, scrappy team in Santa Cruz to a 700-person company spanning eight offices around the globe. Now on the heels of its acquisition by Google, co-founders Lloyd Tabb and Ben Porterfield, CEO Frank Bien, and first investor Bill Trenchard come together to fill in the details and dig into the lessons learned from Looker's founding story.

The Three Secrets to Executive Recruiting I Learned at Apple, Yahoo and More

First Round Review

Jennifer Rettig brings her recruiting expertise from Target, Apple, Yahoo, and — most recently — Looker, to share the tactics that will find your company the best executives. Continue reading at First Round Review »


The difference between product analytics and business intelligence tools — and why you need both


In 2019, industry-leading Business Intelligence tools (BI tools), Looker and Tableau, were acquired by Google and Salesforce for over $18 billion combined. Looker, and other tools like it, are often deployed with good intent.

Connection and Compatibility: How OkCupid Uses Analytics to Help People Find Love


Our customer data stack at OkCupid consists of mParticle, Looker, and product intelligence (PI) platform Amplitude. Traditional BI tools like Looker, Tableau, or Power BI, can perform this analysis, but they require us to spend time building out data models to answer our product questions.

What Can You Expect From Today’s Customer Analytics Landscape?


An excellent complement to BI tools, Indicative is great for ad hoc analysis and quick results that can take hours in Looker and Tableau. Experts predict the Customer Analytics market will top $24 billion by 2025.

Harness Your Product Data: Better Understanding User Behavior Across Channels and Devices

Speaker: Kate Owens and Megan Bubley, SpotHero, Diana Smith, Segment, and Erin Franz, Looker

Join our webinar on October 17th with Segment and Looker to hear how they have solved these complex data issues.

A close look at our analytics and metrics for product-led growth


At this point you may be wondering why we bother syncing data to Mixpanel at all if we can transform it as needed with dbt, rather than use a BI tool like Looker or Tableau or newer tools that offer a self-serve analytics UI that queries your data warehouse directly.

G2 Summer Report: Indicative Climbs Rankings as Leader


Using a Business Intelligence tool such as Tableau or Looker? G2 has named Indicative as a Leader in Customer Journey Analytics in G2’s 2020 Summer Report. .

Business Intelligence vs. Customer Analytics: Why You Need Both


If you use Looker, for instance, you probably rely on this platform’s data capabilities. SQL is the basis for many modern BI systems — including Looker and Tableau. Data is the most valuable asset of our time.

BI vs. product analytics: Key differentiators


In 2019, industry-leading Business Intelligence (BI) tools, Looker and Tableau, were acquired by Google and Salesforce for over $18 billion combined.

How Product Managers Can Learn to Love Reporting

Speaker: Eric Feinstein, Professional Services Manager, Looker

Eric Feinstein, Professional Services Manager at Looker, has done workshops with product managers who are looking to add effective reporting. For a long time, Product Managers have found it challenging to design interfaces inside their products that users could use for reporting.

Insights: 5 ingredients for better data collaboration


This may require additional tools (Tableau, Looker, etc) or simply a raw data export, but the teams are now able to support the organization in whatever tasks are required by not needing to constantly answer “simple” requests.

The ABCs of data: how to make sense of your company’s data as a product manager


Looker or Tableau) require extensive technical skills and knowledge to operate. In the age of data and analytics, we’ve come to believe that, with enough data, we can make smart decisions and become truly data-driven.

7 Frequently Asked Questions About Mixpanel, Answered


How is Mixpanel different from BI tools like Looker, Tableau, and Mode? Looker, Tableau, Mode): Used to ingest and collate data from sales, finance, and other parts of the company in order to inform business strategy and tactics, and report on KPIs like ARR and revenue churn.

How to Build Your Dream Analytics Stack


Here are a few to consider: Looker creates a data modelling layer, through LookML, on top of your raw data. Looker is known for its interactive interface. Every company, of every size — even organizations of just one person — are navigating a data avalanche problem.

How and Why: Embedded Analytics Interfaces For Your SaaS Product

Speaker: Sam Owens, Product Management Lead, Namely Platform

Daniel Mintz, Chief Data Evangelist of Looker, will join as well to give a broader view of how product owners are integrating analytics into their products to create stickier experiences and drive new revenue streams.

Tristan Handy on the changing face of the data stack


Tristan Handy is the founder of dbt Labs. In this interview, Tristan gives us his thoughts on the data stack of today and the hopefully improved capability and accessibility of tomorrow’s.

Product Analytics: The Fundamental Guide for 2020

Iteratively Blog

Check out Looker , Tableau , or Mode Analytics as they're all good solution. Time and again, folks have used product analytics tools to better understand their customers.

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How to standardize user research in your organization


Then, when Product wanted to validate a particular user problem, we’d start by gathering relevant quantitative and qualitative data from our product instrumentation such as MixPanel or Looker, followed by reaching out to specific instructors or students early in the process.

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Do You Measure Up? Metrics for Enterprise SaaS Product Managers


In fact, Tomasz Tunguz, one of the most well-known venture capitalists investing in B2B SaaS product (who invested in Looker, which recently got acquired by Google) writes about this concept at length in his blog. Gone are the days of selling “software in a box.” Compared to one-time-purchase software, SaaS products offer a few key benefits. For one, they typically involve some type of recurring subscription.

Iterate Your Way to a Top Analytics Product Experience

Speaker: Richard Cheng, Associate Product Manager, Mark43

Haarthi Sadasivam, Technical Product Marketing Manager at Looker will join the conversation on best practices. In this webinar, we'll cover: Best BI practices from Mark43 and Looker. Mark43 is on a mission to bring public safety data management into the 21st century.

How to Implement Testing in Production


In your BI tool (Datadog, Looker), you can create a separate database for all of the test users’ activity so that you can make business decisions based on real user data, not from data from your automated tests in production. Testing in production is becoming more and more common across tech.

Who should really own your tracking plan?

Iteratively Blog

Looker and Mixpanel). “Data is a team sport” is something we believe strongly in and talk about often at Iteratively. Analytics tracking plans are no different – tracking plans (and the instrumentation of them) are collaborative by nature. They work best when the relevant teams come together.

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Customer Feedback System: How to Build One That Grows Your Company


Additionally, the content should have a ‘human touch’ or else, you risk annoying the on-looker away. Ever found yourself getting loads of feedback, but didn’t have the customer feedback system in place to do something with it all?

The Best Customer Feedback Analysis Guide in 2021


Looker is a tool with a simple dashboard and an ability to zoom into detailed visual views. Have you ever made a costly mistake because your customer feedback analysis wasn’t on point? Well, you thought you had actionable insights, but then the end result was a big floparoo?

The Practical Guide to Using a Semantic Layer for Data & Analytics

Read about real-life examples and see quantifiable results by leveraging a semantic layer to unlock data for AI & BI at scale.

Product Operations: Unlock Your Product Team’s Full Potential

The Product Coalition

Intermediate-to-advanced knowledge of SQL; experience with data visualization tools (Looker, Power BI, Tableau); knowledge of applied statistics. Building great products is hard.

What Monzo Learned From Scaling its Lending Team

Mind the Product

The squad has full autonomy to achieve the goal: Access to data or information : everyone in Monzo has access to most of our data through Looker, all of our emails are public via Google Groups, conversations tend to be on public Slack channels, and information is open to all on GDrive or Notion. I’m a product manager at Monzo. We’re a UK-based bank and our mission is to make money work for everyone.

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Linking Strategy, Insights, & Execution: Jake Johnson on Product Ops at Drift


I had some experience using self-service visualization tools like Tableau and Looker at LogMeIn, and I liked being able to expose insights that were worth exposing. It is one thing to wax philosophically about “translating strategy”, “using data”, and “aligned autonomy”, and another thing to make it happen in the real world at a rapidly growing company. Toss in getting thrown into the deep-end, and having to mold a function from scratch, and you’ll have your hands very full.

The ultimate marketing technology stack for 2019

Inside Intercom

Alternatives: Microsoft BI, Looker. You might be familiar with Scott Brinker’s famous martech landscape slide. Known as the Martech 5000 — nicknamed after the 5,000 companies that were competing in the global marketing technology space in 2017, it’s said to be the most frequently shared slide of all time. By early 2018, Brinker had updated it with almost 2,000 more vendors — that’s nearly 7,000 marketing software companies fighting for the same buyers’ attention.

The Evolving Product Analytics Landscape: An Interview with Sandhya Hegde


You know, and I think on the other side of that there’s the BI, call them more BI tools versus analytics, like Looker, or Periscope or Mode. Where does product analytics fit in the realm of analytics tools on the market? What makes product analytics different from marketing analytics? How are product teams using analytics in their day-to-day work?

The Evolving Product Analytics Landscape: An Interview with Sandhya Hegde


You know, and I think on the other side of that there’s the BI, call them more BI tools versus analytics, like Looker, or Periscope or Mode. Where does product analytics fit in the realm of analytics tools on the market? What makes product analytics different from marketing analytics? How are product teams using analytics in their day-to-day work?