Remove Analytic Tools Remove Data Visualization Remove Looker
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The ultimate marketing technology stack for 2019

Intercom, Inc.

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. The reasons for this growth – high-velocity economics of software innovation, the migration of money from old media to new media, etc.

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SaaS Reporting Guide: Tools & Metrics

Userpilot

With companies relying entirely on data, it’s common sense to carry out SaaS reporting. The different reports can offer a variety of insights that help manage your product in the right direction. TL;DR SaaS reporting helps to track key metrics and inform the right decisions backed up with data.

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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 Because Data is the new currency.

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How to Build Your Dream Analytics Stack

Indicative

Every company, of every size — even organizations of just one person — are navigating a data avalanche problem. Every team — from product to marketing, and IT to engineering — is generating data. A strong analytics stack is foundational to being able to make sense of it all. What Technology Do You Need in Your Stack?

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Products for Product People: Best Practices in Analytics

Speaker: Andrew Wynn, Senior Product Manager, Looker

As a product manager, you know how helpful custom tailored data solutions can be to doing your job well. But proper data analytics solutions take work to deliver - it's not as simple as just building a dashboard. Learn product analytics best practices from Andrew Wynn, Product Manager at Looker.

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Cross-Platform Analytics Guide for SaaS Companies

Userpilot

Tracking cross-platform analytics is essential for product teams to see a complete view of customer behavior. TL;DR Cross-platform analytics is the activity of tracking and analyzing user behavior across multiple platforms or devices. What is cross-platform analytics?

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Omnichannel Analytics Guide for SaaS Companies

Userpilot

Omnichannel analytics enable teams to get a 360 view of user behavior at different touchpoints of the customer journey. In particular, it covers: What omnichannel analytics are Why it’s important to track How to implement your omnichannel analytics strategy Omnichannel analytics tools Let’s get right into it!

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Iterate Your Way to a Top Analytics Product Experience

Speaker: Richard Cheng, Associate Product Manager, Mark43

Mark43 is on a mission to bring public safety data management into the 21st century. To fix traditionally paper-heavy and error-prone processes, they needed a secure and easy-to-use product experience that simplified and unified crime data collection and management. How efficient intelligence and analytics will benefit your users.

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How Product Managers Can Learn to Love Reporting

Speaker: Eric Feinstein, Professional Services Manager, Looker

For a long time, Product Managers have found it challenging to design interfaces inside their products that users could use for reporting. It seems like PMs and engineers have grown to hate embedded reporting. How to evaluate embedded analytic solutions as strategy to greatly reduce initial and on-going engineering effort.

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How and Why: Embedded Analytics Interfaces For Your SaaS Product

Speaker: Sam Owens, Product Management Lead, Namely Platform

Sam and Jessica faced a problem that many product managers face: their customers wanted better analytics and reporting, but analytics wasn’t the core function of the SaaS product Sam and Jessica manage. Evaluated their options for building a solution themselves or buying something.

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

Download this guide for practical advice on how to use a semantic layer to unlock data for AI & BI at scale. Read this guide to learn: How to make better, faster, and smarter data-driven decisions at scale using a semantic layer. How to enable data teams to model and deliver a semantic layer on data in the cloud.