Treasure Data Review
February 10, 2019
Treasure Data Review
Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with Treasure Data
Treasure Data is being used by specific departments of our organization. Since our organization is very huge, it is not possible for all departments to use the same tools. Treasure Data acts as a single stop to managing all the customer data and making sense out or raw data. It is also extremely useful for targeted marketing. It uses basic and advanced algorithms (including machine learning and AI) to understand customer patterns. It lets us understand customer needs and what to target/focus on each customer.
Pros
- It has the capability to absorb big-data, which is becoming a must with tons of data on hand. Also for a bigger organization, this is a must.
- It is a cloud-based platform. data can be accessed from anywhere and is also secure at the same time.
- It has a high level of scalability with fewer overheads. There is great support available from the teams.
- It makes it possible to integrated data from different data sources.
Cons
- Mobile support for this tool could be improved compared to other tools.
- Pricing can be made more flexible and customized. This will also make it cheaper for specific users or users who require only certain modules in the tool.
- The marketing campaigns could have a more in-depth/drill-down analysis of their reports.
- It definitely has positive results in the ROI since we are using the tool very effectively. We have been able to focus and market to specific customers with different offers.
- It has helped with making more sense out of data and hence is very effective. Machine learning/AI is not fully up to the mark, but does make a difference.
- We have been able to save money with marketing and arranging online campaigns and newsletters to customers. Instead of mass marketing, we are able to support it logically.
- Geo-based customized marketing -- we integrated with other APIs to understand customers based on their geo-location.
- Marketing based on ex-customers that are to be re-converted.
- Marketing campaigns based on reference customers -- this plays a very important role in terms of the goodwill of our company.
- Amazon Redshift, amazon elastic mapreduce, Snowflake, Stitch, Alooma, Cloudera Enterprise, Qubole and Altiscale
Treasure Data stacks up very well against its competitors. It is a highly scalable tool with great support. The reason we went ahead with Treasure Data is that it has good customizations and AI capabilities. With machine learning and AI becoming more and more important every day, it is important to have this feature. It has some advanced features, but obviously all tools have their own pros and cons. This tool had features that suited our business and our requirements. Although there are arguably other features that are available in other software, this suited our business.
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