How much data can you handle?
October 31, 2017

How much data can you handle?

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Treasure Data

Treasure Data is used by my organization to log lots of data points such as: events, device type, device OS, app version, and many others. Using the results we get from Treasure Data, our product owners are able to see what areas of the game people are using frequently and which areas they are not. Armed with this data we are able to make determinations of what features to include in other titles or what features may need some re-working. From the engineers incorporating Treasure Data into the game code to the Data Analysts decoding the data to the QA team making sure events fire when they are supposed to; Treasure Data is used widely across our game studio.
  • Provides an immense amount of detail into customers and their uses of the application.
  • Verification of the new features added into the products and if customers are using them or not.
  • Provides a great tool for determining which bucket customers fall into while running an A/B Test
  • Amount of time it takes to get data to populate columns after recently adding them to Treasure Data, could definitely be improved upon.
  • A simple quick Query system that can be use by not programmers to quickly confirm data is being retained by Treasure Data.
  • The data that we have gained from adding this to our applications is helping us make proper decisions to shape the future of our applications.
  • It is easy to overshoot when first starting with Treasure Data and get back way too much data to work and that did hurt the ROI but with some changes we were able to switch the ROI around after removing excess data capture points.
N/A - As a QA Analyst I have not been tasked with using another product like Treasure Data, nor do I know if our company has tried other products similar to Treasure Data.
Treasure Data is very well suited for a high demand data driven market like mobile applications; where trends and markets change constantly. With the data your team would be able to have a great snapshot of where and when people are doing what in your application. The amount of data that can come back can be very overwhelming and too much to sift through, but with fairly easy changes you can remove columns of data and reduce the time it takes to get the data back and read it.