Mixpanel

AUGUST 31, 2021

The second component is the data warehouse, which is Amazon Redshift. The third component consists of dashboards that we have built on top of Redshift. We use AWS Lambda to build our machine learning models and some of the other tasks that run on top of Redshift. . Building in-house is extremely resource-intensive.

Data Visualization 104

Data Visualization Analytic Tools Artificial Inteligence Dashboard 104

Indicative

SEPTEMBER 6, 2019

There are two main players in the data warehouse space: Google BigQuery and Amazon Redshift. What these services have in common is that they are run on the back of two of the most robust data storage services in the world: Amazon Web Services and Google Cloud Platform. No engineering resources are required to use these products.

Data Visualization 49

Data Visualization Analytic Tools Customer Feedback Transportation 49

Mixpanel

APRIL 24, 2019

A couple of months ago, we released a connector that sends data from Mixpanel to Amazon Redshift Spectrum, Google BigQuery, Snowflake, Google Cloud Storage and Amazon S3. This pipeline sends your data to Redshift Spectrum, which is different than Redshift. What exactly is Redshift Spectrum?

Data Visualization 77

Data Visualization Technical Review User Testing Feedback Software 77

Indicative

JANUARY 25, 2021

mParticle integration: Similarly, the mParticle integration can be set up by any business user and allows product managers to bring data into Indicative without any coding or technical resources. Snowplow integration: The Snowplow integration also allows for quick set up, but it will require a technical resource. Amazon Redshift.

Data Visualization 64

Data Visualization Analytic Tools Customer Experience User Testing 64

The Product Coalition

AUGUST 6, 2020

A small organisation currently in a growth stage, for example, may not have the technical resources needed to prepare data and maintain internal pipelines to connect data across tools, so leveraging pre-built integrations is vital. However, maintaining connections to all these data sets in-house is challenging and very resource-intensive.

Data Visualization 105

Data Visualization Analytic Tools Consulting User Testing 105

Indicative

OCTOBER 23, 2020

That means once engineering sets up tracking for their products using Segment’s SDKs, sending that data to any destination and pulling 3rd party data is quick, easy, and does not require further engineering resources. That means Freshpaint requires the least amount of engineering resources over the other options mentioned above.

Embedded Analytics 141

Embedded Analytics Analytic Tools Data Visualization Reporting Tools 141

Userpilot

APRIL 21, 2023

The best product analytics tools for SaaS companies One way to carry out product analysis is by using a data warehouse, like Amazon Redshift, and business intelligence tools, like Tableau. They also need time to update the support, marketing, and sales materials.

Analytic Tools 98

Analytic Tools Feedback Software Research Software Data Visualization 98