Systems | Development | Analytics | API | Testing

How to Easily Apply Analytics to Product Development Management

The development of a digital product has been redefined to involve only 4 phases, as TCGen and Product Plan propose: However, having an easier-to-follow process is not the only improvement that you can implement: cost and time efficiency can be taken a huge step further when you incorporate analytics insights. So, with this infographic, we propose some tools that can help you analyze data sets to enrich the phases of each development process.

ThoughtSpot SpotApp for Snowflake Performance and Consumption Analytics

This SpotApp will have you up and running in minutes with search and AI-driven analytics from ThoughtSpot around your Snowflake Data Cloud performance and consumption. The SpotApp enables financial controllers to drill into credit consumption trends to proactively manage their cloud spend. And IT Ops teams will be able to dive into granular details about query performance to ensure that their data clouds are running at full speed.

What's New in CDP Public Cloud? Hive and Impala Get a Facelift

Join us LIVE to discuss what’s new in CDP Public Cloud! Don’t miss the live Q&A as we learn about the new capabilities in Cloudera Data Warehouse. See how the Impala and Hive engines get a facelift. Also watch a demo of how you can run advanced analytics at scale using few easy steps

How to Make Your Data Ethical with Jack Berkowitz at ADP | Rise Of The Data Cloud

Ever wonder how companies like ADP handle all of the data that they are responsible for? In this episode of Rise Of The Data Cloud, Jack Berkowitz, Chief Data Officer at ADP, talks about the importance of keeping your product simple, data sharing, applying ethics to algorithms, and much more.

How Klearnow went from sleepless nights to a booming data business with ThoughtSpot

Sometimes I walk through the grocery store and marvel at the way customers float through the aisles, blissfully unaware of the logistical nightmare it probably took to stock the shelves. They have no idea how many people, systems, and modes of transportation it takes to make everything magically appear on their grocery shelves. But I do. As the Senior Director of Software Engineering at KlearNow, I spend my days preserving the bliss of those grocery shoppers.

State of the Reverse ETL

Data warehouses fixed one aspect of the data silo problem but introduced another. They function as a large, single source of truth for your organization, but getting insights from this data in a typical Extract, Transform, Load (ETL) data pipeline requires the use of Business Intelligence (BI) and analytics platforms. By the time your data team creates these reports and sends them to other business units, it’s too late for daily decision-making.

ThoughtSpot, ServiceNow, and Snowflake for Operational Metrics

ThoughtSpot for ServiceNow at Snowflake - As the developer of the leading data cloud, Snowflake generates a wealth of operational helpdesk data with ServiceNow. ThoughtSpot and Snowflake are enabling helpdesk and operations executives to answer all their questions about operational metrics with a single pane of interactive insights in ThoughtSpot, powered by Snowflake.

ThoughtSpot, ServiceNow, and Snowflake for Business Application Management

As the developer of the leading data cloud, Snowflake relies on a number of business applications. But creating a holistic view of these applications has been a challenge, as the data is sourced from a variety of systems. By combining application data from multiple sources in the Snowflake data cloud, ThoughtSpot and Snowflake are empowering internal organizations to answer all their questions about enterprise application quality with a single pane of interactive insights in ThoughtSpot, powered by Snowflake.